Download our Authored Books, Journals, Papers & Presentations
Leading Global Digital, Artificial Intelligence-Machine Learning,
Quantum Computing, Networks Security, Cryptography
& Controls
Algorithms, Data
& Models, Uncertainty and Risk Modeling & Risk Management
Global Higher Education & Learning, Finance & Trading, Space & Defense Practices
Dr. Yogesh Malhotra "Yogi"

Who's Who in America®, Who's Who in the World®, Who's Who in Finance & Industry®, Who's Who in Science & Engineering® Since 1999
New York State: 'Join Dr. Yogi Malhotra to Get up to Speed on Cloud Technology.': AI-ML-Quant-Cyber-Crypto-Quantum-Networks
Averting Human Existential Crises: Why AI Machines Can't Think, Reason, or Understand: Why Turing Test Is Invalid: What to Do About It?
AWS Partner: Silicon Valley-Wall Street-Pentagon VC Boards-CEO Teams Mentor: Cloud-Networks-AIOps-CyberOps-MLOps-DevSecOps
MIT Computer Science & AI Lab - Princeton University - Carnegie Mellon University - Kellogg Executive Education Faculty-SME
R&D Impact Among Artificial Intelligence-Quant Finance Nobel Laureates Herbert Simon, Black-Scholes, Sharpe, Markowitz
Stanford Machine Learning Specialization AWS Academy Educator: AWS Machine Learning University SUNY Lumen Circles Fellow
MIT Computer Science & AI Lab-MIT Sloan School of Management: Artificial Intelligence & Strategy Executive Education Faculty
Princeton University Quantitative Finance & Trading and FinTech Crypto Presentations: AI-ML Risk Management Controls SME
Carnegie Mellon University: Digital Transformation & Knowledge Management Executive Education Faculty
Kellogg School of Management: Digital Transformation & Knowledge Management Executive Education Faculty

Kellogg School of Management: Executive Education: PRMIA Quant Finance-Quantitative & Qualitative Risk Management: VaR SME
University of California, Berkeley: Haas School of Business: MS Financial Engineering Executive Education Courses
Post-Doctoral R&D AI-ML-Cyber-Crypto-Quantum-Quant Finance, Top-10 IT-AI-Quantitative Methods-Risk Management-Controls PhD,
MS-Quantitative Finance, MS-Computer Science, MS-Network and Computer Security, MS-Accounting, MBA-Econometrics,
Chartered Engineer & Life Member: The Institution of Engineers (India), CISSP, CISA, CEH, CCP-CDP, CPA Education
AWS Certified Machine Learning - Specialty + AWS Certified Security - Specialty
AWS Certified Solutions Architect - Associate + AWS Certified Cloud Practitioner

Dr Yogesh Malhotra Silicon Valley Wall Street Pentagon Digital Pioneer MIT Princeton Industry Expert
AWS Partner Interview: AWS-Quantum Valley Founder-Digital Pioneer Building Quantum Minds for Quantum Uncertainty
New York State Government: "Join Dr. Yogi Malhotra to get up to speed on Cloud Technology."
New York State Venture Capitalist Leading Silicon Valley Venture Capitalists & Tech CEOs Since 1990s
"We Connect the World's Smartest Minds with the Deepest Pockets for the Greatest Good of Humanity™"

MIT Computer Science & AI Lab-MIT Sloan School of Management AI-ML-DL-NLP-RPA-Robotics Faculty-SME
Princeton Bendheim Center for Finance-Operations Research & Financial Engineering Quant Finance & Trading SME
R&D Impact among Artificial Intelligence & Quantitative Finance Nobel Laureates: SSRN 128 Top-10 R&D Rankings
New York State: 'Join Dr. Yogi Malhotra to Get up to Speed on Cloud Technology.': AI-Quant-Cyber-Crypto-Quantum-Networks
$Trillion Wall Street Hedge Funds-Top Wall Street-Hedge Funds Quants-MDs-PMs Teams Leader-CFA-PRMIA SME
Building the Future of AI-ML-Cyber-Quant-Finance: On Future of Financial Stock Markets Bet on GenAI: Next 30-Years Beyond Past 30
Digital Future of Banking & Finance, Hedge Funds, Investment Banks, Venture Capital, Asset Management, Risk Management, Insurance
Deepfakes Coming for Financial Sector: How 30-Year Behind AI-ML can catch up with Today's C4I-Cyber-Crypto-Quantum Risks
How 30-Year Behind Risk Standards Can Catch Up with Today's C4I-Cyber-Crypto-Quantum Risks with Our Risk Management Practices
Pentagon-US Air Force Chief Scientist Invited Interviews: Pentagon Joint Chiefs-USAF-USSF SME Next-Gen ABMS-JADC2
New York State Capitol Digital CEO-CTO AI-ML-DL-Quantum-AIOps-MLOps-LLMOps-CyberOps-Cloud-Networks-Quant-SME
US Air Force Quantum Defense Summit: Dr. Yogesh Malhotra to US Congressman: $100 Billion New York State - AWS-Quantum Valley
Pentagon: Joint Force Quarterly: Building Self Adaptive Complex Systems for Quantum Uncertainty-Time Space Complexity: When Models are Wrong
Why Digital & Physical Supply Chains Fail: Why World's Greatest Intelligence Failures Occur: The Institute for Supply Management Interview
WSJ: Business Model Innovation: Science of Success: Entrepreneurship: TSMC Way: Taiwan Semiconductor Manufacturing Company
AWS-Quantum Valley: Building Future of AI-ML-Quant-Cyber-Crypto-Quantum Networks: Next 30-Years Beyond Past 30
AWS Academy Educator-Digital Workforce Pioneer Building Future of AI-ML-Computer Science-MIS for New York State Workforce Development
Management Science: Science of Managing and Managing of Science: Building Future of Universities & Higher Education for the Real World
ACM: End of Programming & Classical Computer Science: "Smart Minds Using Smart Tools Smartly": Building Real-Time Systems for Real World
Advancing Beyond Big Data-Driven Analytics to Network Centric Data Engineering: Beyond Prediction of Historical Past to Anticipation of Future
Business Insider: GIBC Digital Welcomes Leading Machine Learning and Artificial Intelligence Expert to Lead Its Data Center in Grand Bahama
Journal of Supercomputing: Springer-Nature Group: High-Performance Computing: Building Responsible AI Beyond Generative AI-LLMs
Book Foreword: AI Transformers for Machine Learning: A Deep Learning Dive by Uday Kamath, Kenneth Graham & Wael Emara
Beyond Certifications to Global Impact: AWS-Certified Solutions Architect-Professional Exam (SAP-C02) Guide: Publisher's Invited Review
Beyond AI-ML to Real Intelligence: Beyond Language: Gen-AI Generative AI Large Language Models LLMs: Beyond KNOWING to OUTCOMES
Beyond AI: Generative AI, LLM, GPT, RAG, CRAG: Much Ado About Nothing? Generative AI: 25-Years Behind Risk Management!
Generative AI: Is it 30-Years Behind the Curve or 15-Years? Human, You Be the Judge!: Beyond the Self-Driving Car Challenge
Digital Disruption Beyond Generative AI : Building Next Generation AI and Human-Machine Intelligence Industries-Professions
Beyond AI's MEANING-less-ness of [Past] Known Data: Navigating Fog of Unknowingness with Meaning, Knowledge, Insights
Generative AI: Do Billions of Parameters Really Make the Decisions and Outcomes Billions-Times Better!
GenAI: Need to Advance Beyond Resolving Trivial Hallucinations to Real Use Cases: Hegelian Dialectic Inquiry
AWS-Quantum Valley: How 30-Year Behind AI-ML-DL-Data Science can catch up with Today's C4I-Cyber-Crypto-Quantum Risks: YM-ABC™: BRINT.com
$Trillion Wall Street Hedge Funds Quants Leader: MIT-Princeton AI-Quantum-Quant Finance & Trading Faculty-SME: CFA-PRMIA Industry Expert-SME
Pentagon Joint Chiefs: Why C4I-Cyber Command & Control Supremacy is More Critical Than AI & Quantum Supremacy & What You Can Do about It?
USAF-USSF-Pentagon Joint Chiefs ABMS: Pioneering AI-ML-DL Adversarial and Counter-Adversarial Command & Control: ABMS2-JADAC2-JADCAC2

CIO Magazine Interview: Dr. Yogesh Malhotra CIO Insight Interview: Dr. Yogesh Malhotra  Inc. Magazine Interview: Dr. Yogesh Malhotra  Fortune Magazine Interview: Dr. Yogesh Malhotra The Wall Street Journal Interview: Dr. Yogesh Malhotra

SUNY-LumenCircles-Fellow Amazon Author Page Amazon Author Page Journal of Financial Transformation Paper RISK.net Journal of Operational Risk Paper SSRN Google Scholar YouTube
AWS Amazon Web Services MIT Computer Science & AI Lab  Princeton University  Goldman Sachs JP Morgan Asset Management

Dr.-Eng.-Prof. Yogesh Malhotra AI-ML-Cyber-Crypto-Quantum-Risk-Computing, MIT-Princeton AI-Cyber-Crypto-Quantum Faculty-SME: AWS Partner: Silicon Valley-Wall Street-Pentagon: Chief Executive Officer: Chief Information Officer: Chief Information Security Officer: Chief Data Scientist: NY: 30-Year Global Digital Transformation, Knowledge Management, Human-Centered Artificial Intelligence, Human-Centered Digital Search, and Human-Centered Digital Social Networks Pioneer Advancing the Human-Centered World Wide Web: United Nations World Headquarters Invited Expert on Human Capital, Intellectual Capital, Social Capital Methods & Measures

Princeton University Wall Street Finance & Trading Quants Leader:
Artificial Intelligence-Machine Learning-Quantitative Finance-
Cyber-Crypto-Quantum FinTech Computing Presentations

2015-2018 Princeton Quantitative Finance &  Trading FinTech-Crypto Conferences  
MIT Computer Science & AI Lab - MIT Sloan School of Management:
Artificial Intelligence, Machine Learning, Deep Learning,
Natural Language Processing (NLP), Robotic Process Automation (RPA), Robotics
Faculty and Subject Matter Expert:
Access: MIT AI-Machine Learning-Deep Learning-NLP-RPA-Robotics Executive Guide

  MITSloan&CSAILAIMachineLearningExecutiveGuide

Post-Doctoral Algorithms, Models, Artificial Intelligence (AI), Machine Learning &
Deep Learning, Quantitative Analytics, Quantitative Finance, Quantitative Trading,
Cybersecurity, Network Security, Telecommunications, Network Security,
Cryptanalytics, Quantum Computing, Quantum Cryptography R&D
Advancing on Doctoral Artificial Intelligence & Knowledge Management Human Machine Systems R&D:

Pioneering Digital, Quantitative, Computational, Cyber, Crypto & Quantum
Risk Modeling, Risk Management & Uncertainty Management.

2023: New York State Cybersecurity Conference: AI-Machine Learning-Data Management Governance-Controls Cloud Computing Practices.
2023 New York State Cybersecurity Conference Presentation: AI-Machine Learning-Data Management Governance-Controls Cloud Computing Practices
- Future of Artificial Intelligence-Social Media Beyond Gen AI Hype: Network-Centric Human-Centered Meaning-Driven Computing Networks
- Future of Artificial Intelligence Command-Control: Beyond Cybersecurity to Adversarial & Counter-Adversarial Command-Control Networks
- Future of Artificial Intelligence for $Trillion Wall Street Hedge Funds: Beyond Prediction to Anticipation of Surprise for Quantum Uncertainty
- Future of Artificial Intelligence for CISOs Beyond Gen AI Hype: Data-Driven to Event-Driven AIOps-MLOps-DevSecOps-Networks as Code
2023: International Journal of Knowledge Eng.-Management: Augmented AI-Intelligent Systems for Quantum Uncertainty & Complexity.
2023: Journal of Insurance & Financial Management: Beyond Data Protection to Command & Control (C2) Sustainability Post-Covid19.
2022: IUP Journal of Financial Risk Management: Framework of Credit Metrics Methodology for Computing Credit Value-at-Risk (VaR).
2022: IUP Journal of Financial Risk Management: Beyond Bayesian vs. VaR to Model Risk Management: Managing Risk for Hedge Funds.
Download Cloud Computing CEOs-CFOs-CTOs-CIOs-CXOs Guide: 2022 New York State Cybersecurity Conference:
2022 AI Book Foreword by Dr. Yogesh Malhotra: Book AI Transformers for Machine Learning: A Deep Learning Dive
:
We Create the Digital Future, You Can Too! Let's Show You How! A, B, C: AIMLExchange.com : BRINT.com : C4I-Cyber.com

AIMLExchange

Digital CEOs-CxOs: Startups to $Trillions: Welcome to the Future of Agile-Resilient AI & Quantum!

Cloud Computing for Wall Street Hedge Funds-Investment Banks to Pentagon Battleships...

Building Cloud for Wall Street Bank Hedge Funds to Pentagon Battleships..

Building Future Quantum Artificial Intelligence, Trustable AI & Explainable AI

Building Future Quantum Artificial Intelligence, Trustable AI & Explainable AI...

Post-AI-Quantum Computing Digital Disruption Architecture Beyond AI Quantum Computing Supremacy Hype

Building C4I-Cyber Supremacy To Protect and Sustain AI-Quantum Supremacy...

Space4Women_AI-QuantumInSpace

Building AI-Quantum Autonomy and Cyber-Controls Spanning Earth-Space-Outer Space...

ConnectAI Masterclass: Existing & Emerging Sectors For AI, Cybersecurity, Defense & Law Enforcement

Building the Future of Sustainable AI-Quantum with Counter-Adversarial Command & Control...

Hedge Fund-Private Equity CEOs-CxOs Keynote: Future of Finance

Building the Future of Alternative Assets, Hedge Funds, Private Equity, Venture Capital...

FinTech & AI: Building the Future of Data Sovereignty for Quantum Uncertainty and Time-Space Complexity

Building the Future of Data Sovereignty for Quantum Uncertainty and Time-Space Complexity...

Building Silicon Valley's 'Next Big Thing': Humanistic AI and Human-Centered AI Networks...

Building Silicon Valley's 'Next Big Thing': Humanistic AI and Human-Centered AI Networks...

Human-Centered AI Pioneer Building Quantum Minds for Quantum Uncertainty

Human-Centered AI Pioneer Building Quantum Minds for Quantum Uncertainty...

AI-Quantum Practices: AI-ML-Quant-Cyber-Crypto-Quantum-Risk Computing-Modeling

AI-Machine Learning-Deep Learning, Quantum Computing-Quantum Cryptography, Data Science & Analytics, Data Analytics Tools, Big Data Platforms, Social Network Analysis, Visual Analytics, Data Collection & Design of Experiments, Data Integrity

AWS Accredited-Certified Partner: AI-ML-Data Science & Analytics - Big Data Platform Practices
Pentagon-USSF-USAF-AFRL R&D Labs CEO: AIMLExchange.com: BRINT.com: C4I-Cyber.com

 
2022 Book Foreword: AI Transformers for Machine Learning: A Deep Learning Dive 1st Edition, CRC Press.

2023: International Journal of Knowledge Engineering and Management: Augmented AI-Knowledge Driven Intelligent Systems for Adversarial-Dynamic Uncertainty & Complexity.

USAF-AFRL-Finance-Accounting-IT-Risk-Controls e-Learning Networks: YogeshMalhotra.com:
- Pentagon USAF Chief Scientist Invited Interviews: USAF Top Science Role: Korn Ferry

JP Morgan Global Head of Analytics-US Portfolio Management Head MDs-PMs Teams Leader

2023: Journal of Insurance and Financial Management: Beyond Data Protection to Command and Control (C2) Sustainability in a Post-Covid19 World.

2022: IUP Journal of Financial Risk Management: Framework of Credit Metrics Methodology for Computing Credit Value-at-Risk (VaR).

2022: IUP Journal of Financial Risk Management: Beyond 'Bayesian vs. VaR' Dilemma to Empirical Model Risk Management: Managing Risk for Hedge Funds

2019: Journal of Financial Transformation: Alternative Risks-Alternative Capital: Artificial Intelligence Augmentation for Large-Scale Global Systemic and Cyber Risk Management Projects.

2018: Journal of Operational Risk (Risk.Net): Bridging Networks, Systems and Controls Frameworks for Cybersecurity Curriculums and Standards Development.
2017: IUP Journal of Computer Sciences: Quantitative Modeling of Trust and Trust Management Protocols in Next-Generation Social Networks-Based Wireless Mobile AD HOC Networks.

Executive Education-Professional Associations Faculty-SME: AI-Cyber-Quantum-Finance-Risk-Controls-Models
Asia-EU-Europe-USA   CFA Society   National Association of Insurance Commissioners   PRMIA

Amazon-AWS Partner-Community Leader: Accounting-Finance-IT-Risk-Controls - Big Data Analytics

USAF-AFRL-Accounting-Finance-IT-Risk-Controls e-Learning Networks: YogeshMalhotra.com:
- American Institute of Certified Public Accountants (AICPA): "Pretty Powerful Portal. Smart Stop on the Web."

JP Morgan Global Head of Analytics-US Portfolio Management Teams Leader-Faculty-SME
 - Accounting-Quant Finance: Alternative Assets, Alternative Risks, Liquidity Risk, Market Risk, Credit Risk

JP Morgan MDs Liquidity Framework Executive Presentation: 30-Years of Liquidity Risk Modeling
JP Morgan MDs $500B Fund of Funds Value-at-Risk (VaR) Market Risk Models Executive Report
2017-2018: MIT C-SAIL & Sloan School of Management AI Faculty-SME: AI-ML-DL-NLP-RPA-Robotics.

2015-2018: 3 Princeton Quant Finance &Trading Annual Presentations SME: AI-Crypto-Quantum-Risk-Computing.
- 2018: AI-ML Risk Management and Control Systems: Model Risk Management in AI-ML-DL
- 2016: Model Risk Arbitrage For FinTech Era: Risk, Uncertainty & Profit Beyond ZIRP & NIRP
- 2015: Future of Finance Beyond ‘Flash Boys’: Risk Modeling for Managing Cyber Era Uncertainty
2016-2022: 4 New York State Governor’s Annual Presentations: AI-ML-Quantum-Cyber-Finance-Trust.
- 2022: Well-Architected ‘Zero Trust’ Hybrid-Cloud Computing Infrastructure as Code (IaC)-DevSecOps-MLOps
- 2021: C4I-Cyber Command-Control Supremacy More Critical Than AI-Quantum Supremacy: Data-Models-Algorithms
- 2019: AI-Machine Learning Augmentation and Cybersecurity: ‘Smart Minds Using Smart Tools Smartly’
- 2016: Cyber-Finance Beyond Predictive to Anticipatory Risk Analytics for Cyber Financial Threats
2021 GAIM Ops Conference Keynote: Global-US Hedge Fund-Private Equity-Venture Capital CEOs-CxOs.
2021 European Union FinTech Innovation Conference: Expert Panel: Finance Verticals-New Horizontals.

2015 SUNY Poly Quant Finance-Cyber-Security-Insurance-Risk Models: Cyber-Finance-Trust Frameworks.
Elsevier-SSRN 128+ Top-10 R&D Rankings: 17,392+ Downloads: Top 1% SSRN Author

2014: Hong Kong Institute of CPAs Interview: Bitcoin-Quant Methods Future: Global Financial Regulation

- National Science Foundation Global HQ Leadership Advisor: 32 NSF Computer Scientist Expert Panels



Quant Finance & Trading Practices: FinTech-Crypto, Financial Markets-Exchanges-Hedge Funds

Financial-Accounting-Information Systems-Controls, Quant-Finance-Insurance-Risk-Models, Cyber-Forensics-Accounting-Auditing-Data Science, Cyber-Finance-Trust Frameworks

Executive Education-Professional Associations Faculty-SME: AI-Cyber-Quantum-Finance-Risk-Controls-Models
Asia-EU-Europe-USA   CFA Society   National Association of Insurance Commissioners   PRMIA

Amazon-AWS Partner-Community Leader: Accounting-Finance-IT-Risk-Controls - Big Data Analytics

USAF-AFRL-Accounting-Finance-IT-Risk-Controls e-Learning Networks: YogeshMalhotra.com:
- American Institute of Certified Public Accountants (AICPA): "Pretty Powerful Portal. Smart Stop on the Web."

JP Morgan Global Head of Analytics-US Portfolio Management Teams Leader-Faculty-SME
 - Accounting-Quant Finance: Alternative Assets, Alternative Risks, Liquidity Risk, Market Risk, Credit Risk

JP Morgan MDs Liquidity Framework Executive Presentation: 30-Years of Liquidity Risk Modeling
JP Morgan MDs $500B Fund of Funds Value-at-Risk (VaR) Market Risk Models Executive Report
2017-2018: MIT C-SAIL & Sloan School of Management AI Faculty-SME: AI-ML-DL-NLP-RPA-Robotics.

2015-2018: 3 Princeton Quant Finance &Trading Annual Presentations SME: AI-Crypto-Quantum-Risk-Computing.
- 2018: AI-ML Risk Management and Control Systems: Model Risk Management in AI-ML-DL
- 2016: Model Risk Arbitrage For FinTech Era: Risk, Uncertainty & Profit Beyond ZIRP & NIRP
- 2015: Future of Finance Beyond ‘Flash Boys’: Risk Modeling for Managing Cyber Era Uncertainty
2016-2022: 4 New York State Governor’s Annual Presentations: AI-ML-Quantum-Cyber-Finance-Trust.
- 2022: Well-Architected ‘Zero Trust’ Hybrid-Cloud Computing Infrastructure as Code (IaC)-DevSecOps-MLOps
- 2021: C4I-Cyber Command-Control Supremacy More Critical Than AI-Quantum Supremacy: Data-Models-Algorithms
- 2019: AI-Machine Learning Augmentation and Cybersecurity: ‘Smart Minds Using Smart Tools Smartly’
- 2016: Cyber-Finance Beyond Predictive to Anticipatory Risk Analytics for Cyber Financial Threats
2021 GAIM Ops Conference Keynote: Global-US Hedge Fund-Private Equity-Venture Capital CEOs-CxOs.
2021 European Union FinTech Innovation Conference: Expert Panel: Finance Verticals-New Horizontals.

2015 SUNY Poly Quant Finance-Cyber-Security-Insurance-Risk Models: Cyber-Finance-Trust Frameworks.
Elsevier-SSRN 128+ Top-10 R&D Rankings: 17,392+ Downloads: Top 1% SSRN Author

2014: Hong Kong Institute of CPAs Interview: Bitcoin-Quant Methods Future: Global Financial Regulation

2022 Book Foreword: AI Transformers for Machine Learning: A Deep Learning Dive 1st Edition, CRC Press.

2023: International Journal of Knowledge Engineering and Management: Augmented AI-Knowledge Driven Intelligent Systems for Adversarial-Dynamic Uncertainty & Complexity.

USAF-AFRL-Finance-Accounting-IT-Risk-Controls e-Learning Networks: YogeshMalhotra.com:
- Pentagon USAF Chief Scientist Invited Interviews: USAF Top Science Role: Korn Ferry

JP Morgan Global Head of Analytics-US Portfolio Management Head MDs-PMs Teams Leader

2023: Journal of Insurance and Financial Management: Beyond Data Protection to Command and Control (C2) Sustainability in a Post-Covid19 World.

2022: IUP Journal of Financial Risk Management: Framework of Credit Metrics Methodology for Computing Credit Value-at-Risk (VaR).

2022: IUP Journal of Financial Risk Management: Beyond 'Bayesian vs. VaR' Dilemma to Empirical Model Risk Management: Managing Risk for Hedge Funds

2019: Journal of Financial Transformation: Alternative Risks-Alternative Capital: Artificial Intelligence Augmentation for Large-Scale Global Systemic and Cyber Risk Management Projects.

2018: Journal of Operational Risk (Risk.Net): Bridging Networks, Systems and Controls Frameworks for Cybersecurity Curriculums and Standards Development.
2017: IUP Journal of Computer Sciences: Quantitative Modeling of Trust and Trust Management Protocols in Next-Generation Social Networks-Based Wireless Mobile AD HOC Networks.

Editorial & Referee SME Roles: 50+ Scientific Research Journals and Conference Proceedings:
2023 IUP Journal of Financial Risk Management: Global Editorial Board Invitation
2023 International Journal of Financial Studies:  Banks-Cyber-Forensics-Accounting-Financial Statements.
2022 Journal of Experimental and Theoretical Artificial Intelligence: Quantum AI: Prospects & Challenges.
2020: Risk Management: Springer: Cybersecurity Risk Management: Financial System Vulnerability: Regulation.
2018 North American Actuarial Journal: Capital Requirements: Cyber Risk-Insurance: Solvency II: Solvency Test.


RESEARCH *AFRL CA *CFA *Goldman Sachs *JP Morgan *MIT *Princeton *RISK |
R&D IMPACT: *SSRN Top-10 *GoogleScholar
|
PROJECTS *
FutureOfFinance *ModelRiskArbitrage *AIMLExchange *C4I-Cyber|
PRACTICES IMPACT: *Real Impact *Global Honors |

*E-mail: Dr.Yogesh.Malhotra[at]gmail.com *LinkedIn: linkedin.com/in/yogeshmalhotra

*AI-Machine Learning-Deep Learning: SSRN: 128 Top 10 Rankings: Top 1% Authors.
*2018 Princeton Fintech & Quant Conference: AI-ML-DL-GANs, Princeton University.

*2018 MIT AI-Machine Learning Executive Guide including RPA & Cognitive Automation.

*2018 Jrnl. of Operational Risk, 2017 NAIC Expert Paper, 2017 Jrnl. of Computer Sciences.
AACSB: Real World Impact of Research among Finance & IT Nobel Laureates such as Black-Scholes.
MIT Sloan School of Management-MIT CSAIL: AI & Machine Learning, Industry Expert, Executive Ed.
Princeton Quant Trading Presentations: Model Risk Arbitrage & Open Systems Finance Innovations.
Wall Street Investment Banks & Hedge Funds with $1 Trillion AUM: Quant Risk Analytics Leader.
National Association of Insurance Commissioners Quant Models Expert: VaR Model Risk Management.
New York State Computer Scientist & Cybersecurity Practices Leader: Quant Cyber Finance Practices.
Expert Panels: National Science Foundation Computer Scientists, United Nations Global Economists.
Advisor: Big-4 Sr. Partners, $100 B Hi-Tech Firms, Silicon Valley VCs-CEOs, US & World Governments.
Big-3 Finance & Big-3 IT, Global Financial Systems Leader, Worldwide Banking & Financial Systems.
Founder: Top Digital Site, Top-3 Search Engine, Top-10 Social Network: Largest Finance-IT Clients.

SSRN

2015-Current: 128 Top-10 SSRN Research Rankings: Top 1% SSRN Authors
Post-Doctoral R&D in AI, Algorithms, and, Machine Learning: 45+ Papers & Presentations

Princeton University
2015 - 2018: Princeton FinTech & Quant Trading, Invited Presentations
Sponsors: Princeton University, Goldman Sachs, Citadel, SIG, KCG.

MIT Sloan School of Management Artificial Intelligence (AI) & Machine Learning Management and LeadershipExecutive Education MIT Computer Science & ArtificialIntelligence Laboratory CSAIL Artificial Intelligence (AI) & Machine Learning Management and LeadershipExecutive Education
2017 - 2018:
MIT Sloan School of Management-MIT Computer Science & AI Lab
MIT Industry Expert: Management & Leadership: AI, Machine Learning & Deep Learning

AACSB

AACSB logo

Research Impact among Finance & IT Nobel Laureates in AACSB and Scientific Impact Studies.
  
Wall Street Journal
  
Worldwide Business and IT Editorial Coverage & Interviews in Wall Street Journal, New York Times, Fortune, Fast Company, Forbes, Business Week, CIO, CIO Insight, Computerworld, Information Week, etc.
Risk Management Tech Ventures leading Computational Quantitative Analytics, Machine Learning, Data Science, Quantitative Finance, & Cybersecurity Practices.

 

CyberspaceOrganizations

Microsoft

"In his latest book, Knowledge Management and Virtual Organisations, KM luminary, Dr. Yogesh Malhotra, offers some cautionary advice. He exposes three myths often associated with KM solutions."
- Microsoft

  CyberspaceBusinessModels

city-university-hong-kong

"Knowledge Management and Business Model Innovation brings together the latest thinking on issues at the forefront of teaching innovation and professional imagination."
- M. Lynne Markus
, Professor and Department Chair of Electronic Business, City University of Hong Kong



POST-GLOBAL FINANCIAL CRISIS RESEARCH, 2009-Current


Computational Quant Analytics; AI & Decision Modeling; Algorithms & Machine Learning

Malhotra, Yogesh. AI, Machine Learning & Deep Learning Risk Management & Controls
Model Risk Management in AI, Machine Learning & Deep Learning
Beyond Deep Learning and Generative Adversarial Networks
, 2018 Princeton Fintech & Quant Conference Conference, Princeton University, April 2018.

Full-text Download:https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3167035.

Malhotra, Yogesh. 2018 MIT AI-Machine Learning Executive Guide including RPA & Cognitive Automation, MIT Sloan School of Management-MIT Computer Science & Artificial Intelligence Lab: Management & Leadership: AI & Business Strategy: Executive Education Program, March 2018.
Full-text Download:https://www.linkedin.com/pulse/dear-ceo-ai-machine-learning-advice-top-industry-leading-malhotra/.

Malhotra, Yogesh. Bridging Networks, Systems and Controls Frameworks for Cybersecurity Curriculums and Standards Development, Journal of Operational Risk, March 2018.
Full-text Download:https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2988154.

Malhotra, Yogesh. Advancing Cyber Risk Insurance Underwriting Model Risk Management beyond VaR To Pre-Empt and Prevent the Forthcoming Global Cyber Insurance Crisis, National Association of Insurance Commissioners Expert Paper, 2017.
Full-text Download:https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3081492.

Malhotra, Yogesh. Toward 'Cyber-Finance' Cyber Risk Management Frameworks of Practice: Bridging Networks, Systems, and, Controls Frameworks, Journal of Operational Risk, March 2018 (Forthcoming).
Full-text Download:https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2988154.

Malhotra, Yogesh. Quantitative Modeling of Trust and Trust Management Protocols in Next-Generation Social Networks-Based Wireless Mobile Ad Hoc Networks, IUP Journal of Computer Sciences, Vol. XI, No. 2, April 2017.
Full-text Download:https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2983573.

New York State Cyber Security Conference, 2016, Empire State Plaza, Albany, NY (June 08, 2016):
Rethinking Cybersecurity & Risk Management: Advancing Beyond Predictive to Anticipatory Risk Analytics: CyberFinance
- Conference Sponsors: New York State Governor, New York State Office of Information Technology.
(Beyond Predictive to Anticipatory Cybersecurity Risk Analytics)
Malhotra, Yogesh. Advancing Beyond Predictive to Anticipatory Risk Analytics: CyberFinance: Why Cybersecurity Risk Analytics Must Evolve to Survive 90% of Emerging Cyber Financial Threats, and, What You Can Do About It?, New York State Cyber Security Conference, 2016, Empire State Plaza, Albany, NY (June 08, 2016).
Full-text Download: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2791863.

Princeton Quant Trading Conference 2016, Princeton University (April 16, 2016):
Rethinking Finance & Offensive Cybersecurity Risk Management
- Conference Sponsors: Princeton University, Goldman Sachs, Citadel.
(Beyond Stochastic Models to Non-Deterministic Methods)
Malhotra, Yogesh. Beyond Model Risk Management to Model Risk Arbitrage for FinTech Era How to Navigate 'Uncertainty'... When 'Models' Are 'Wrong'... and 'Knowledge'... 'Imperfect'! Knight Reconsidered Again: Risk, Uncertainty, & Profit beyond ZIRP & NIRP, Princeton Quant Trading Conference 2016, Princeton University (April 16, 2016).
Full-text Download: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2766099.

Princeton Quant Trading Conference 2015, Princeton University (April 04, 2015):
Rethinking Finance & Defensive Cybersecurity Risk Management

- Conference Sponsors: Princeton University Bendheim Center & ORFE, Citadel, KCG.

(Beyond Risk Modeling to Knightian Uncertainty Management)
Malhotra, Yogesh. Knight Reconsidered: Future of Finance Beyond Flash Boys:
Risk Modeling for Managing Uncertainty in an Increasingly Non-Deterministic Cyber World
, Princeton Quant Trading Conference 2015, Princeton University (April 04, 2015)

Full-text Download: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2590258.


Post-Doctoral Computational Quant Analytics Decision Modeling Applied Research Thesis on
Advanced Data Science Analytics Models & Methodologies in
Quantitative Finance, Model Risk Management, & Cybersecurity Risk Insurance (January 19, 2015); Advisors: Distinguished Computer Scientists & Cybersecurity Experts: US Air Force Research Lab, New York State Cyber Research Institute, and, New York State; Mentors: Top Leadership Quant Risk Analytics & U.S. Hedge Fund and Fund of Hedge Funds Portfolio Managers from Wall Street Investment Banks with $1 Trillion AUM.
Malhotra, Yogesh. Stress Testing for Cyber Risks: Cyber Risk Insurance Modeling beyond Value-at-Risk (VaR): Risk, Uncertainty, and, Profit for the Cyber Era, Post-Doctoral Research Thesis on Advanced Data Science Analytics Models & Methodologies in Quantitative Finance, Model Risk Management, and Cybersecurity Risk Insurance (Last Revised: 25 Jan 2017).
189 Pages, 145 References, 208 Footnotes.
Full-text Download: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2553547.
[Executive Summary]

[Original title of submitted Thesis: Risk, Uncertainty, and Profit for the Cyber Era: Model Risk Management of Cyber Insurance Models Using Quantitative Finance and Advanced Analytics.]

Keywords: Model Risk Management, Risk Management, Risk Modeling, Quantitative Finance, Cyber Finance, Virtual Finance, Cyber Insurance Models, Cyber Risk Insurance, Uncertainty Modeling, Uncertainty Management, Knightian Uncertainty, Bayesian Inference, Markov Chain Monte Carlo Models, Quantum Computing, Value at Risk, VaR, T-VaR, Conditional Tail Expectation, ARCH, GARCH, Conditional VaR, Cornish-Fisher Approximation, Cyber-Finance-Trust™ Framework, Expected Shortfall, Expected Tail Loss, Extreme Value Theory, FAST, FIX, Flash Boys, Gibbs Sampling, Metropolis-Hastings Algorithm, HFT, High Frequency Trading, Crypto Currencies, Bitcoin, Model Risks, Power Laws, Quantitative Analytics, Cryptography, Network Protocols, Cryptology, Encryption Algorithms, Cryptanalysis Algorithms.

Malhotra, Yogesh. Bridging Networks, Systems and Controls Frameworks for Cybersecurity Curricula & Standards Development, (Full Research Paper Accepted for Conference Presentation), 2015 New York State Cyber Security & Engineering Technology Association Conference, Rochester Institute of Technology, Rosica Hall, NTID, Rochester, New York, Oct. 22, 2015.
Full-text Download:https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2792636.

Malhotra, Yogesh.Cybersecurity & Cyber-Finance Risk Management: Strategies, Tactics, Operations, &, Intelligence: Enterprise Risk Management to Model Risk Management: Understanding Vulnerabilities, Threats, & Risk Mitigation, Invited Plenary Keynote to Fortune 100 Chief Risk Officers & Chief Security Officers, Altria World HQ, Richmond, VA, September 2015.
Full-text Download:https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2693886.

Malhotra, Yogesh. Beyond 'Bayesian vs. VaR' Dilemma to Empirical Model Risk Management: How to Manage Risk (After Risk Management Has Failed) for Hedge Funds, (Advanced Practice beyond MIT Sloan Management Review Post-Crisis 'MRM Dilemma'), JP Morgan Private Bank Practice Paper, December 2014.
Full-text Download:https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2538401.

Malhotra, Yogesh. Markov Chain Monte Carlo Models, Gibbs Sampling, & Metropolis Algorithm for High-Dimensionality Complex Stochastic Problems, (Bayesian Inference and Machine Learning Algorithms for Model Risk Management), Grifiss Cyberspace™ Cybersecurity Finance Practice Paper, May 2014.
Full-text Download:https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2553537.

Malhotra, Yogesh. A Risk Management Framework for Penetration Testing of Global Banking & Finance Networks VoIP Protocols, (Stress Testing Frameworks for Emerging Quantitative Finance Cyber Risk Concerns.), Grifiss Cyberspace™ Cyber Finance Practice Paper, May 2014.
Full-text Download:https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2555098.

Malhotra, Yogesh. Future of Bitcoin & Statistical Probabilistic Quantitative Methods: Global Financial Regulation, (Interview: Hong Kong Institute of CPAs), Grifiss Cyberspace™ Cyber Finance Practice Interview, January 20, 2014.
Full-text Download:https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2911645.

Malhotra, Yogesh. Bitcoin Protocol: Model of 'Cryptographic Proof' Based Global Crypto-Currency & Electronic Payments System, (First Technical Report on the Topic of Bitcoin Blockchain 'Cryptographic Proof': Preceded Goldman Sachs' Report on the topic.), Grifiss Cyberspace™ Cyber Finance Practice Paper, December 04, 2013.
Full-text Download:https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2911623.

Malhotra, Yogesh. Advancing Cognitive Analytics Using Quantum Computing for Next Generation Encryption, (First Technical Report on the Topic of Next Generation Encryption & Decryption applying Quantum Mechanics Principles of Superposition and Entanglement in Cognitive Analytics.), Grifiss Cyberspace™ Cyber Finance Practice Paper, December 04, 2013.
Full-text Download:https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2940467.

Malhotra, Yogesh. Number Field Sieve Cryptanalysis Algorithms for Most Efficient Prime Factorization on Composites, (Preceded Google's Public Announcement of Switch from 1024- to 2048-bit RSA. First Technical Report on the Topic of Next Generation Encryption & Decryption advancing beyond Shannon's Maxim and Kerckhoffs's Principle.), Grifiss Cyberspace™ Cyber Finance Practice Paper, May 2013.
Full-text Download:https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2553544.

Malhotra, Yogesh. A Framework for Liquidity Assessment in Portfolio Construction & Optimization at JPMorgan Private Bank, (JP Morgan Project Presentation to the JP Morgan Global Head of Quantitative Research & Analytics and US Head of Portfolio Construction and Team of Senior Quants, Managing Directors, Portfolio Managers), JP Morgan World Headquarters, 270 Park Avenue, New York, NY. June 22, 2012.
Full-text Download:https://yogeshmalhotra.com/JPMorganLiquidityRiskFramework.ppsx.

Malhotra, Yogesh. Measuring & Managing Financial Risks with Improved Alternatives Beyond Value-at-Risk (VaR), (Preceded Risk Magazine Report about Basel Moving Beyond VaR. Preceded PRMIA Curriculum Coverage of Advanced VaR Techniques by more than 2 years.), Global Risk Management Network, LLC Quant Finance Practice Presentation, January 2012.
Full-text Download:https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2594859.


2015-Current: 128 Top-10 SSRN Research Rankings: Top 1% SSRN Authors
Post-Doctoral R&D in AI, Algorithms, and, Machine Learning: 45+ Papers & Presentations
Pioneering Research in Complex Risk Modeling and Uncertainty Management:
Computational Quantitative Finance, Cybersecurity Risk Engineering, Cyber Insurance

  1. Keywords: Quantitative Analytics, Quantitative Finance, Model Risk Management, Risk Modeling, Model Risks, Cyber Insurance Models, Cyber-Finance-Trust Framework, VaR, Value at Risk, Expected Shortfall, Expected Tail Loss, Conditional VaR, Cornish-Fisher Approximation, Extreme Value Theory, Bayesian Inference, Markov Chain Monte Carlo Models, Gibbs Sampling, Metropolis-Hastings Algorithm, Power Laws, Knightian Uncertainty.

 

SSRN Author Page: 128 Top 10 R&D Rankings: Top 1% Authors :
AWS Network Partner - AWS, Azure, GCP - Building Next Generation Cloud Computing

We Lead and Advise Global CEO-CxO Teams Saving Global CEO-CxO Teams 90% Time & Cost Building Resilient Enterprises, Systems, Technologies. Our current Hi-Tech focus spans Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), Robotic Process Automation (RPA), Data Science & Advanced Analytics, FinTech-Crypto, Computational Quantitative Finance & Trading, Blockchain and Cloud Computing, Cybersecurity & Cryptography, Penetration Testing & Ethical Hacking, Model Risk Management & Model Risk Arbitrage, Quantum Computing & Quantum Cryptography, Quantum Uncertainty & Time Space Complexity among other technology themes.

Listed below are Latest Global & National Keynotes, Presentations & Publications.
The following list lists most substantive and latest intellectual contributions on the top that represent the latest state-of-art on R&D leading worldwide practices in contrast to SSRN and other such which list latest intellectual contributions at bottom. Our R&D ranked for global worldwide impact among AI-Quant-FinTech Nobel Laureates has established a track record of leading related global 'BizTech', as pioneers of worldwide Digital Transformation, practices by a wide margin since the inception of the World Wide Web.

C4I-Cyber Command & Control Supremacy: Why It’s More Critical Than AI & Quantum Supremacy & What You Can Do about It? Security in Post-COVID Virtual Era Beyond Data, Models, Algorithms (Interactive PowerPoint Slides To Accompany Virtual Conference Keynote)

US Air Force–Space Force: Beyond ABMS-JADC2 to Faster-Better-Cheaper ABMS2 JADAC2-JADCAC2: AI-Quantum Cyber-Crypto-EMS Network-Centric Computing with Autonomous Robots in Air & Space: Beyond the ‘Quantum’ Silo to Real-World ‘AI-Cyber-Crypto-Quantum’

Existing & Emerging Sectors of AI, Cybersecurity, Defense and Law Enforcement: ConnectAI 2022 Digital Masterclass: Video of Conference Presentation: https://www.youtube.com/watch?v=JGB76NJRRBU

VigiTrust Global Advisory Board Keynote: How to Manage Geopolitical Crisis-Risks: Protecting Global & National Critical Infrastructures

How Has Artificial Intelligence Challenged the Boundaries of Humanistic Thinking? Global Conference on Artificial Intelligence and Machine Learning: The Future is Now: Data Bridge Market Research

Growing Digital Startups to Trillion $ Hedge Funds: Saving You 90% Time & Cost for Sustainable Resilience: Pioneering Global Digital Transformation from Silicon Valley to Wall Street to Pentagon since the beginning of the 'Wild Wild Web' (Presentation Slides)

Advancing Cognitive Analytics Using Quantum Computing for Next Generation Encryption (Presentation Slides)

Beyond Data Protection to Command and Control (C2) Sustainability in a Post-COVID19 World: Execution of U.S. Data Protection Act for U.S. Data Protection Agency

Communications: Making Quantum Computing Real for JADC2 With Qiskit: Quantum Enabling Technologies for Applications to Support Communication and Networking: White Paper Submitted for the Global Competition: AFRL Innovare Million Dollar International Quantum U Tech Accelerator

Cybersecurity & Cyber-Finance Risk Management: Strategies, Tactics, Operations, &, Intelligence: Enterprise Risk Management to Model Risk Management: Understanding Vulnerabilities, Threats, & Risk Mitigation (Presentation Slides)

Bridging networks, systems and controls frameworks for cybersecurity curriculums and standards development

Artificial Intelligence Augmentation For Large-Scale Global Systemic And Cyber Risk Management Projects: Model Risk Management For Minimizing The Downside Risks Of Artificial Intelligence And Machine Learning

Bahamas e-Government: Single Digital ID for citizens of The Bahamas: Toward a National Cybersecurity System to Ensure Data Privacy and Security

Future of Bitcoin & Statistical Probabilistic Quantitative Methods: Global Financial Regulation (Interview: Hong Kong Institute of CPAs)

A Report on the Future of Finance, Future of Risk, and Future of Quant: Risk, Uncertainty, and, Profit for the Cyber Era: Model Risk Management of Cyber Insurance Models using Quantitative Finance and Advanced Analytics

Beyond Model Risk Management to Model Risk Arbitrage for FinTech Era: How to Navigate ‘Uncertainty’...When ‘Models’ Are ‘Wrong’...And Knowledge’...‘Imperfect’! Knight Reconsidered Again: Risk, Uncertainty, & Profit Beyond ZIRP & NIRP

AI, Machine Learning & Deep Learning Risk Management & Controls: Beyond Deep Learning and Generative Adversarial Networks: Model Risk Management in AI, Machine Learning & Deep Learning: Princeton Presentations in AI-ML Risk Management & Control Systems (Presentation Slides)

Cognitive-Neuromorphic Computing for Anticipatory Risk Analytics in Intelligence, Surveillance & Reconnaissance (ISR): Model Risk Management in Artificial Intelligence & Machine Learning (Presentation Slides)

AI, Machine Learning & Deep Learning Risk Management & Controls: Beyond Deep Learning and Generative Adversarial Networks: Model Risk Management in AI, Machine Learning & Deep Learning

Beyond ‘Bayesian vs. VaR’ Dilemma to Empirical Model Risk Management: How to Manage Risk (After Risk Management Has Failed) for Hedge Funds

Markov Chain Monte Carlo Models, Gibbs Sampling, & Metropolis Algorithm for High-Dimensionality Complex Stochastic Problems

Future of Finance Beyond 'Flash Boys': Risk Modeling for Managing Uncertainty in an Increasingly Non-Deterministic Cyber World: Knight Reconsidered: Risk, Uncertainty, and Profit for the Cyber Era (Presentation Slides)

Power Point Presentation: AI-Machine Learning Augmentation and Cybersecurity: Why Smart Minds Using Smart Tools Are Critical for Minimizing Risks, And, What You Can Do About It?

Bitcoin Protocol: Model of ‘Cryptographic Proof’ Based Global Crypto-Currency & Electronic Payments System

CreditMetrics Methodology and Credit Value at Risk (Credit VaR)

A Risk Management Framework for Penetration Testing of Global Banking & Finance Networks VoIP Protocols

Advancing Cyber Risk Insurance Underwriting Model Risk Management beyond VaR to Pre-Empt and Prevent the Forthcoming Global Cyber Insurance Crisis

Measuring & Managing Financial Risks with Improved Alternatives Beyond Value-at-Risk (VaR)

CyberFinance: Why Cybersecurity Risk Analytics Must Evolve to Survive 90% of Emerging Cyber Financial Threats, and, What You Can Do About It? Advancing Beyond 'Predictive' to 'Anticipatory' Risk Analytics

Quantitative Modeling of Trust and Trust Management Protocols in Next-Generation Social Networks-Based Wireless Mobile AD HOC Networks

The CFA Society Keynote: Advancing Hedge Funds Chief Investment Officer Practices: Model Risk Management with Auto Machine Learning: JP Morgan and Goldman Sachs Practices Case Studies. (Presentation: 107 slides)

Why Encryption and Crypto Systems Fail and How to Preempt and Prevent Such Systems Failures: Cryptology beyond Shannon’s Information Theory: Preparing for When the ‘Enemy Knows the System’: Technical Focus on Number Field Sieve Cryptanalysis Algorithms for Most Efficient Prime Factorization on Composites

Toward Integrated Enterprise Risk Management, Model Risk Management & Cyber-Finance Risk Management: Bridging Networks, Systems and Controls Frameworks

Guidance to a Goldman Sachs alumnus Hedge Fund with $400 Billion-$500 Billion AUM: Alpha Trading Strategies Analysis, Maximizing Alpha for Hedge Funds, and, High Frequency Econometrics for Analyzing Price Impact of Trades, Liquidity, and, Market Microstructure

Bridging Networks, Systems and Controls Frameworks for Cybersecurity Curricula & Standards Development

C++11 for Hedge Fund Traders and Investment Bankers: Concurrency and Multithreading With C++11 for Thread Management & Data Sharing Between Threads (Presentation Slides)

C4I-Cyber Command & Control Supremacy: Why It’s More Critical Than AI & Quantum Supremacy & What You Can Do about It? Security in Post-COVID Virtual Era Beyond Data, Models, Algorithms

If You Build It, They Will Come: Getting U.S. Vocational Colleges to Deliver 'Job Ready' Graduates for 'Real Jobs' of the 'Real World' (Presentation Slides)

Catastrophic Risk Modeling for Risk Strategy Execution: Extreme Risk Models and Methods: Cyber Finance to Cyber Warfare Risk Modeling for Managing Exponential Uncertainty and Complexity in Increasingly Non-Deterministic Cyberspace

Anticipatory Risk Analytics for Global Response on the Containment of COVID-19

Advancing Beyond IT Management Failures to Knowledge Management: Foundations of Knowledge-Based Enterprises and Knowledge Work: Invited Presentation at The Monieson Centre for Knowledge-Based Enterprises Queen’s School of Business: Queen’s University Kingston, Ontario, Canada (Presentation Slides)


Digital Assets, Markets & Exchanges:
Financial Risk, Model Risk, Enterprise Risk, Operational Risk, Strategic Risk, Systemic Risk & Cyber Risk Management

  1. Malhotra, Y. (ed.), Knowledge Management and Virtual Organizations, Idea Group Publishing, Hershey: PA, April 2000, 408 pages.

  2. Twenty essays present current research on knowledge management as related to effective design of new organization forms. The first section of the book covers frameworks, models, analyses, case studies and research on the integration of knowledge management within virtual organizations, virtual teams and virtual communities of practice. Themes covered in this section include business model innovation; design of virtual organization forms; net-based models; techniques for enabling knowledge capture, sharing and transfer; and collaboration and competition at intra- and inter-organizational levels. The focus of the second half is on key success factors that are important for realizing virtual models of business transformation. Topics include the role of organizational control systems, the role of internal and external employees and customers in creation of organizational knowledge, and information quality issues.

    CyberspaceOrganizations

    "In his latest book, Knowledge Management and Virtual Organisations, KM luminary, Dr. Yogesh Malhotra, offers some cautionary advice. He exposes three myths often associated with KM solutions."
    - Microsoft

    Microsoft


    Published in 2000

  3. Malhotra, Y. (ed.), Knowledge Management and Business Model Innovation, Idea Group Publishing, Hershey: PA, April 2001, 470 pages.

  4. We are living in interesting times characterized by increasing digitalization of business enterprises in a global interconnected knowledge economy. With waning euphoria about the first wave of digital e-business enterprises and a sobering dot-com stock market, business model innovation is being recognized as the key enabler that can unleash value creation for new digital enterprises. Knowledge Management for Business Model Innovation is anticipated to be the mantra for survival, competence and success of pure play Net enterprises, as well as relatively traditional brick-and-mortar enterprises faced with the challenge of transforming their business models into-- and beyond -- click-and-mortar companies.

    CyberspaceBusinessModels

    "Knowledge Management and Business Model Innovation is an important addition to the IS researcher's bookshelf. It brings together the latest thinking on issues at the forefront of teaching innovation and professional imagination."
    - M. Lynne Markus
    , Professor and Department Chair of Electronic Business, City University of Hong Kong

    city-university-hong-kong


    Published in 2001

    Quantitative Risk Management & Controls: Quantitative Risk Modeling of Risk Management & Controls PhD Thesis
    (Published Thesis on 1 of 3 Related Quantitative Risk Management Streams of PhD Research & Publications Focus)

  1. Malhotra, Y., Role of Social Influence, Self-Determination and Quality Of Use In Information Technology Acceptance And Utilization: A Theoretical Framework And Empirical Field Study, PhD Thesis. University of Pittsburgh, Doctor of Philosophy Program, Joseph M. Katz Graduate School of Business, Pittsburgh: PA, July 1998, 181 pages, 120 Tables of Quantitative Analysis.

    Thesis: Conference Proceedings Papers on Knowledge Management Systems & Management Control Systems
  1. Malhotra, Y. and Galletta, D.F., Role of Commitment and Motivation in Knowledge Management Systems Implementation: Theory, Conceptualization, and Measurement of Antecedents of Success, Proceedings of the Hawaii International Conference on Systems Science, January 2003, January 6-9, 2003, IEEE, Hawaii.
  2. Malhotra, Y., Role of Organizational Controls in Knowledge Management: From Constraints to Enablers. Proceedings of the Information Resource Management Association International Conference, Knowledge Management Track, Anchorage, Alaska, May 20-24, 2000.
  3. Malhotra, Y., and, Galletta, D.F., Extending the Technology Acceptance Model to Account for Social Influence: Theoretical Bases and Empirical Validation. Proceedings of the Hawaii International Conference on System Sciences (HICSS 32), 6-19, January, 1999, IEEE, Hawaii.
  4. Malhotra, Y., Knowledge Management in Inquiring Organizations. Proceedings of the 3rd Americas Conference on Information Systems, Indianapolis, IN, August, 1997. Related Working Papers: Role of Information Technology in Managing Organizational Change and Organizational Interdependence (1993). Organizational Learning and Learning Organizations: An Overview (1996).
  5. Malhotra, Y., Theoretical & Empirical Redefinition of Information Systems Acceptance & Information Systems Usage. Proceedings of the Academy of Management Meeting, Technology and Innovation Management / Organizational Communication and Information Systems Doctoral Consortium, Boston, MA, August, 1997.
  6. Malhotra, Y., Reassessing and Clarifying Information Systems Acceptance and Usage. Proceedings of the 3rd Americas Conference on Information Systems, Doctoral Consortium, Indianapolis, IN, August, 1997. [Related Working Papers on Measurements & Methods in Business Intelligence: An Analogy to a Competitive Intelligence Program: Role of Measurement in Organizational Research (1993). Competitive Intelligence Programs: An Overview (1996).]
  7. Malhotra, Y., Bringing the Adopter Back Into the Adoption Process: A Personal Construction Framework of Information Technology Adoption. Proceedings of the Academy of Management, Technology and Innovation Management, Boston, MA, August, 1997. (Abstract)
  8. Malhotra, Y., and, Kirsch, L.J., Personal Construct Analysis of Self-Control in IS Adoption: Empirical Evidence from Comparative Case Studies of IS Users & IS Champions. Proceedings of the First INFORMS Conference on Information Systems and Technology, 105-114, Washington, DC, May, 1996.

    Thesis: Research Journal Papers on Knowledge Management Systems & Management Control Systems

  1. Malhotra, Y., Galletta, D.F., and, Kirsch, L.J. How Endogenous Motivations Influence User Intentions: Beyond the Dichotomy of Extrinsic and Intrinsic User Motivations, Journal of Management Information Systems, Summer 2008, Vol. 25, No. 1, 267-299. [PDF]
  2. Malhotra, Y. and Galletta, D.F., A Multidimensional Commitment Model of Volitional Systems Adoption and Usage Behavior, Journal of Management Information Systems, Summer 2005, Vol. 22, No. 1; 117-151. [PDF]
  3. Malhotra, Y. and Galletta, D.F., Building Systems that Users Want to Use, Communications of the ACM, 47, 12, December 2004, 89-94. [HTML version]

 

Pre-Global Financial Crisis Research, 1993-2008


World Wide Web Virtual Library on Knowledge Management

  1. Malhotra, Y. [Founder, Author, Editor, Publisher] World Wide Web Virtual Library on Knowledge Management. World Wide Web Virtual Library - Tim Berners Lee, the founder of the World Wide Web and HTML. 1994-. World's Top Ranked Knowledge Management Library.: "Pool of largest collection of knowledge management literature" - Wall Street Journal : "Best web site on the topic of knowledge management" - InfoWorld: "Best sources for knowledge management and intellectual capital" - Fast Company: "Will keep enthusiasts of Knowledge Management entertained for hours." - Harvard Business Publishing: "A Virtual Library of the Best Sources for Knowledge Management and Intellectual Capital." - Ellen M. Knapp, Vice Chairman & CKO, PwC in Fast Company interivew.
Post-WWW Computational Quantitative Risk Analytics & Statistical Models

  1. Malhotra, Y., and, Galletta, D.F., Extending the Technology Acceptance Model to Account for Social Influence: Theoretical Bases and Empirical Validation. Proceedings of the Hawaii International Conference on System Sciences (HICSS 32), 6-19, January, 1999, IEEE, Hawaii.
  2. Control Systems PhD Thesis Paper.
  3. Malhotra, Y., Galletta, D.F., and, Kirsch, L.J. How Endogenous Motivations Influence User Intentions: Beyond the Dichotomy of Extrinsic and Intrinsic User Motivations, Journal of Management Information Systems, Summer 2008, Vol. 25, No. 1, 267-299. [PDF]
  4. Malhotra, Y. and Galletta, D.F., A Multidimensional Commitment Model of Volitional Systems Adoption and Usage Behavior, Journal of Management Information Systems, Summer 2005, Vol. 22, No. 1; 117-151. [PDF]
  5. Malhotra, Y. and Galletta, D.F., Building Systems that Users Want to Use, Communications of the ACM, 47, 12, December 2004, 89-94. [HTML version]
  6. Malhotra, Y., Knowledge Management in Inquiring Organizations, Computer Society of India Communications (India), Vol. 30, Issue 4, July 2006, Special Issue on ‘Tacit Knowledge’ edited by McGill University (Canada). [Invited reprint of Americas Conference in Information Systems, August, 1997, paper.] [PDF version]
  7. Malhotra, Y., Integrating Knowledge Management Technologies in Organizational Business Processes: Getting Real Time Enterprises to Deliver Real Business Performance, Journal of Knowledge Management, Vol. 9, Issue 1, April 2005, 7-28.
  8. [HTML version]
  9. Malhotra, Y., When Best Practices Becomes Worst Practices [On Managing Model Risk], Momentum: The Quality Magazine of Australasia [Quality Society of Australasia], NSW, Australia, September 2002, 29-30.
  10. Malhotra, Y., Enabling Knowledge Exchanges for E-Business Communities, Information Strategy: The Executive's Journal, 18(3), Spring 2002, 26-31.
  11. Malhotra, Y., Expert Systems for Knowledge Management: Crossing the Chasm between Information Processing and Sense Making, Expert Systems with Applications: An International Journal, 20(1), 7-16, 2001. [PDF]
    (Top-ranked article by the journal.).
    [Related CAS Prototype: 'The Little Engine That Could' Do Cybernetics, Digital Social Enterprises, & Social Networks; Related Working Paper: On Science, Scientific Method And Evolution Of Scientific Thought: A Philosophy Of Science Perspective Of Quasi-Experimentation (1994)]

  12. King, W.R., and Malhotra, Y., Developing an Andragogy Model for IS/IT Education, Journal of Informatics Education and Research, 3(1), Spring 2001, 1-14.
  13. Malhotra, Y., Knowledge Assets in the Global Economy: Assessment of National Intellectual Capital. Journal of Global Information Management, 8(3), July-Sep, 2000, 5-15. [HTML version]
  14. King, W.R., and Malhotra, Y., Developing a Framework for Analyzing IS Sourcing, Information and Management, 37(6), 2000, 323-334.
  15. Malhotra, Y., Knowledge Management for E-Business Performance: Advancing Information Strategy to 'Internet Time’. Information Strategy: The Executive's Journal, 16(4), Summer 2000, 5-16.
  16. Malhotra, Y., Knowledge Management and New Organization Forms: A Framework for Business Model Innovation. Information Resources Management Journal, 13(1), January-March, 2000, 5-14.
  17. Malhotra, Y., Bringing the Adopter Back Into the Adoption Process: A Personal Construction Framework of Information Technology Adoption. Journal of High Technology Management Research, 10(1), 1999, 79-104.
  18. Malhotra, Y., Knowledge Management for Organizational White Waters: An Ecological Framework. Knowledge Management, 2(6), March, 1999, 18-21.
  19. Malhotra, Y., High-Tech Hidebound Cultures Disable Knowledge Management. Knowledge Management, Knowledge Management, 2(5), February, 1999, 7-11.
  20. Malhotra, Y., Business Process Redesign: An Overview. IEEE Engineering Management Review, 26(3), Fall, 1998, 27-31.
    (Invited Expert Paper published among paper by Professor Tom Davenport.
    )
  21. Malhotra, Y., Knowledge Management for the New World of Business. Asian Strategy & Leadership Institute Review, August, 1998, 36-41. Related Working Papers: Enterprise Architecture: An Overview (1996). National Information Infrastructure: Myths, Metaphors And Realities (1995)
  22. Malhotra, Y., Controlling Copyright Infringements of Intellectual Property. Journal of Systems Management, July, 1994, 45-51.
  23. Malhotra, Y., Controlling Copyright Infringements of Intellectual Property: The Case of Computer Software. Journal of Systems Management, June, 1994, 45-50.
  24. Malhotra, Y., and Erickson, R.E., Interactive Educational Multimedia: Coping with the Need for Increasing Data Storage. Educational Technology, April, 1994, 34-37.
  25. Barton, L., and Malhotra, Y., International Infringement of Software as Intellectual Property, Industrial Management & Data Systems, 1993, 93-100.

Digital Assets, Markets & Exchanges:
Financial Risk, Model Risk, Enterprise Risk, Operational Risk, Strategic Risk, Systemic Risk & Cyber Risk Management

 
  1. Malhotra, Y., Board of Advisors Perspective: On Knowledge Management and Actionable Intelligence. Invited Interview as Board of Advisors member, Inside Knowledge (UK), 2009.
  2. Malhotra, Y., Competitive Strategy for Highly Risky and Uncertain Business Environments. Business Standard (India), January 2, 2007. 
    (Business Standard (India) interviews with world-leading business scholars-practitioner management thinkers in Business Strategy.)
    .
  3. Malhotra, Y., On Model Risks & Systemic Risks Inherent in Financial Market Models: Rethinking Management Information and Control Systems for the New World of Uncertainty and Risk. Invited Interview of Emerald Publishing (UK), 2005. (Series of Interviews with Knowledge Management Pioneers) Also at Emerald Publishing (UK): An interview with Yogesh Malhotra: Interview by: Alistair Craven [HTML version]
  4. Tema mjeseca: Znanje u organizaciji: Članak: Intervju: dr. Yogesh Malhotra, Alistair Craven: (Croatian): Translation in Croatian of the above Knowledge Management Pioneers Interview: Quantum21.net
  5. Malhotra, Y., Expertise Location Management Systems: KMS by Another Name?. CIO Insight, July 2004. 
    (Interview with CIO Insight)
    .
  6. Malhotra, Y., Measuring National Knowledge Assets of a Nation: Knowledge Systems for Development, UN Expert Paper. Expanding Public Space for the Development of the Knowledge Society. Report of the Ad Hoc Expert Group Meeting on Knowledge Systems for Development. United Nations Department of Economic and Social Affairs Division for Public Administration and Development Management [Backup: UN Agenda], United Nations, New York, 2003, 68-126.
    (Expert Paper Invited by the United Nations Department of Economic and Social Affairs Division for Public Administration and Development Management)

    Malhotra, Y., Why Knowledge Management Systems Fail? Enablers and Constraints of Knowledge Management in Human Enterprises. In Holsapple, C.W. (Ed.), Handbook on Knowledge Management 1: Knowledge Matters, Springer-Verlag, Heidelberg, Germany, 577-599, 2002.
    (CNET Corporate Computing Award, 2002, Most Downloaded Paper Award for Most Influential Paper.) Reprinted as:

     

      1. Malhotra, Y., Why Knowledge Management Systems Fail? Enablers and Constraints of Knowledge Management in Human Enterprises. In Michael E.D. Koenig & T. Kanti Srikantaiah (Eds.), Knowledge Management Lessons Learned: What Works and What Doesn't, Information Today Inc. (American Society for Information Science and Technology Monograph), 87-112, 2004.
        (AACSB International Impact of Research Task Force Citation for Research Impact among Finance Nobel Laureates such as Black-Scholes, 2008)
      2. Malhotra, Y., Why Knowledge Management Systems Fail? Enablers and Constraints of Knowledge Management in Human Enterprises. In Holsapple, C.W. (Ed.), Handbook on Knowledge Management 1: Knowledge Matters, Springer-Verlag, Heidelberg, Germany, 577-599, 2004.
  7. Malhotra, Y., Is Knowledge the Ultimate Competitive Advantage?. Business Management Europe , September, 2003, Q3/4, pp. 66-68. 
    (Cover Story Focus on Interview with Business Management Europe)
    . [HTML]
  8. Malhotra, Y., Is Knowledge the Ultimate Competitive Advantage?. Business Management Asia, September, 2003, Q3/4, pp. 67-69. 
    (Cover Story Focus on Interview with Business Management Asia)
    . [HTML]
  9. Malhotra, Y., The Knowledge Application Gap in Information Systems Research & Education and their Quest for the Dependent Variable. Information Resources Management Journal, Volume 16, Issue 2, April-June 2003, pp. i-vii. 
    (Invited Editorial by Information Resources Management Journal)
    .
  10. Malhotra, Y., Information Ecology and Knowledge Management: Toward Knowledge Ecology for Hyperturbulent Organizational Environments, Encyclopedia of Life Support Systems (EOLSS), UNESCO/Eolss Publishers, Oxford, UK (10,607 words), 2002 [Electronic re-publication in EOLSS, 2008]. [PDF]
    (Invited Expert Paper published by the United Nation's United Nations Educational, Scientific and Cultural Organization (UNESCO) global panel of Nobel Laureates and other Laureates.
    )
  11. Malhotra, Y., Knowledge Management: The Supply Chain Nerve Center. Inside Supply Management, Institute for Supply Management, July 2002, pp. 34-43. (TEXT Version)
    (Cover Story Focus on Interview with Inside Supply Management, global membership publication of the Institute for Supply Management)
    .
  12. Malhotra, Y., Enabling Next Generation e-Business Architectures: Balancing Integration and Flexibility for Managing Business Transformation. Intel Corporation, Portland, Oregon. Summer 2001. 
    (Expert Paper invited by the Intel Corporation)
    .
  13. Malhotra, Y., From Information Management to Knowledge Management: Beyond the 'Hi-Tech Hidebound' Systems. In K. Srikantaiah & M.E.D. Koenig (Eds.), Knowledge Management for the Information Professional. Medford, N.J.: Information Today Inc. 37-61, 2000.
    (Invited Expert Paper for American Society for Information Science and Technology monograph.)
  14. Malhotra, Y., Intellectual Capitalism: Does KM=IT? Three Myths That Can Derail Your IT & KM Investments. CIO Enterprise, Sep. 15, 1999.
    (Interview by the CIO Enterprise Flagship Publication of CIO.com.)
  15. Malhotra, Y., Deciphering the Knowledge Management Hype. Journal for Quality & Participation, July-August, 1998.
    (Invited among Herbert Simon and Ikujiro Nonaka by the administrator of Malcolm Baldrige National Quality Program Awards, American Society for Quality, as contributor to Knowledge Management journal special issue of the Journal for Quality and Participation..
    )
  16. Malhotra, Y., Knowledge Management, Knowledge Organizations & Knowledge Workers: A View from the Front Lines. Maeil Business Newspaper, South Korea, February 19, 1998.
    (Interview by the Knowledge Management editor of the largest Korean business newspaper Maeil Business Newspaper (Circulation: over 1 Million readers).
    )
  17. Malhotra, Y., Virtual Corporations, Human Issues & Information Technology. Training & Development, American Society for Training and Development (ASTD), Feb. 1, 1997. (Interviewed among other Virtual Organization pioneers such as Hatim Tayabji, Chairman & CEO of Verifone.)
    (Interview by the American Society for Training and Development (ASTD) Flagship publication Training & Development.)
  18. Malhotra, Y., Current Business Concerns and Knowledge Management. Times of India, 1997.
    (Interview by the Times of India.)

Digital Assets, Markets & Exchanges:
Financial Risk, Model Risk, Enterprise Risk, Operational Risk, Strategic Risk, Systemic Risk & Cyber Risk Management

  1. Malhotra, Y., Is Knowledge Management Really an Oxymoron? Unraveling the Role of Organizational Controls in Knowledge Management, In D. White (Ed.), Knowledge Mapping and Management, Hershey, PA: Idea Group Publishing, 1-13, 2002.
  2. Malhotra, Y., Organizational Controls as Enablers and Constraints in Successful Knowledge Management Systems Implementation.  In Y. Malhotra (Ed.), Knowledge Management and Business Model Innovation. Hershey, PA: Idea Group Publishing, 326-336, 2001. (reprint)
  3. Malhotra, Y., Role of Organizational Controls in Knowledge Management: Is Knowledge Management Really An 'Oxymoron'. In Y. Malhotra (Ed.), Knowledge Management and Virtual Organizations. Hershey, PA: Idea Group Publishing, 245-257, 2000.

Digital Assets, Markets & Exchanges:
Financial Risk, Model Risk, Enterprise Risk, Operational Risk, Strategic Risk, Systemic Risk & Cyber Risk Management

  1. Malhotra, Y., Desperately Seeking Self-Determination: Key to the New Enterprise Logic of Customer Relationships, Process Automation Track, Customer Relationship Management Mini-track. Proceedings of the Americas Conference on Information Systems, AMCIS 2004, New York, New York.
  2. Malhotra, Y. and Galletta, D.F., Role of Commitment and Motivation in Knowledge Management Systems Implementation: Theory, Conceptualization, and Measurement of Antecedents of Success, Proceedings of the Hawaii International Conference on Systems Science, January 2003, January 6-9, 2003, IEEE, Hawaii.
  3. Malhotra, Y., Role of Organizational Controls in Knowledge Management: From Constraints to Enablers. Proceedings of the Information Resource Management Association International Conference, Knowledge Management Track, Anchorage, Alaska, May 20-24, 2000.
  4. Malhotra, Y., and, Galletta, D.F., Extending the Technology Acceptance Model to Account for Social Influence: Theoretical Bases and Empirical Validation. Proceedings of the Hawaii International Conference on System Sciences (HICSS 32), 6-19, January, 1999, IEEE, Hawaii.
  5. Malhotra, Y., Knowledge Management in Inquiring Organizations. Proceedings of the 3rd Americas Conference on Information Systems, Indianapolis, IN, August, 1997. Related Working Papers: Role of Information Technology in Managing Organizational Change and Organizational Interdependence (1993). Organizational Learning and Learning Organizations: An Overview (1996).
  6. Malhotra, Y., Theoretical & Empirical Redefinition of Information Systems Acceptance & Information Systems Usage. Proceedings of the Academy of Management Meeting, Technology and Innovation Management / Organizational Communication and Information Systems Doctoral Consortium, Boston, MA, August, 1997.
  7. Malhotra, Y., Reassessing and Clarifying Information Systems Acceptance and Usage. Proceedings of the 3rd Americas Conference on Information Systems, Doctoral Consortium, Indianapolis, IN, August, 1997. [Related Working Papers on Measurements & Methods in Business Intelligence: An Analogy to a Competitive Intelligence Program: Role of Measurement in Organizational Research (1993). Competitive Intelligence Programs: An Overview (1996).]
  8. Malhotra, Y., Bringing the Adopter Back Into the Adoption Process: A Personal Construction Framework of Information Technology Adoption. Proceedings of the Academy of Management, Technology and Innovation Management, Boston, MA, August, 1997. (Abstract)
  9. Malhotra, Y., and, Kirsch, L.J., Personal Construct Analysis of Self-Control in IS Adoption: Empirical Evidence from Comparative Case Studies of IS Users & IS Champions. Proceedings of the First INFORMS Conference on Information Systems and Technology, 105-114, Washington, DC, May, 1996.
  10. Malhotra, Y., IS Productivity And Outsourcing Policy: A Conceptual Framework and Empirical Analysis. Proceedings of the Inaugural Americas Conference on Information Systems, 142-144, August, Pittsburgh, PA, 1995. [Related Conference Paper: IS Productivity And Outsourcing Policy: A Conceptual Framework and Empirical Analysis. Proceedings of Inaugural Americas Conference on Information Systems (Managerial Papers), Association for Information Systems, Pittsburgh, Pennsylvania, August 25-27, 1995, pp. 142-144. Related Working Paper: An Empirical Analysis of the Determinants of Information Systems Productivity and the Role of Outsourcing Policy (1995).]
  11. Malhotra, Y., and Erickson, R.E., MPC: An Evolving Standard in Multimedia Education. Educational Multimedia and Hypermedia Annual, Proceedings of ED-MEDIA 93: Educational Multimedia and Hypermedia, AACE, Charlottesville, VA, 324-331, August, 1993.

Digital Assets, Markets & Exchanges:
Financial Risk, Model Risk, Enterprise Risk, Operational Risk, Strategic Risk, Systemic Risk & Cyber Risk Management

  1. Malhotra, Y., Knowledge Management for E-Business Performance: Advancing Information Strategy to “Internet Time”. ICFAI Journal of Systems Management (India), August, 2003. 
  2. Malhotra, Y., Knowledge Assets in the Global Economy: Assessment of National Intellectual Capital. In F. Tan (Ed.), Advanced Topics in Global Information Management. Hershey, PA: Idea Group Publishing, 2002, pp. 329-345. 
  3. Malhotra, Y., Knowledge Assets in the Global Economy: Assessment of National Intellectual Capital. In V. Sugumaran (Ed.), Intelligent Support Systems Technology. Hershey, PA: Idea Group Publishing, 2002, pp. 22-42.  
  4. Malhotra, Y., Knowledge Management and New Organization Forms: A Framework for Business Model Innovation. In M. Khosrowpour (Ed.), Advanced Topics in Information Resources Management, (Advanced Topics in Information Resources Management Series, Vol. 1), Hershey, PA: Idea Group Publishing, 1-18, 2002.  
  5. Malhotra, Y., Business Process Redesign: An Overview. ICFAI Journal of Operations Management (India), November, 2002. 
  6. Malhotra, Y., Knowledge Assets in the Global Economy: Assessment of National Intellectual Capital.  In Y. Malhotra (Ed.), Knowledge Management and Business Model Innovation. Hershey, PA: Idea Group Publishing, 2001, p. 232-249.
  7. Malhotra, Y., Knowledge Management for E-Business Performance: Advancing Information Strategy to 'Internet Time'.  In Y. Malhotra (Ed.), Knowledge Management and Business Model Innovation. Hershey, PA: Idea Group Publishing, 2-15, 2001.
  8. Malhotra, Y., Knowledge Management and New Organization Forms: A Framework for Business Model Innovation. In Y. Malhotra (Ed.), Knowledge Management and Virtual Organizations. Hershey, PA: Idea Group Publishing, 2-19, 2000.
  9. Malhotra, Y., Knowledge Management for E-Business Performance: Advancing Information Strategy to 'Internet Time'. Journal of Production Engineering (South Korea), 3(8), 2000, 46-55. [Published in Korean language]


Sample of Global Management Consulting Clients

Global and National Honors for Global CxO Practices Leadership -
CxO Think Tank - CxO Practices - CxO Guidance - CxO Keynotes

Includes strategic partnerships based upon invitation by the other party.
(USA, North America, Europe, Asia)

Arthur Andersen Consulting (Accenture) (Managing Partners & Founders)
Bank of America
Banque Indo-Suez (Hong Kong)
British Telecom (UK)
Conference Board
Emerald Group Publishing (UK)
European Bank Merger (European Union)
Google
Government of Mexico (Mexico: National Cabinet)
Government of Netherlands (Netherlands: National Cabinet)
Harvard Business School
Hewlett-Packard
IBM
Institute for Supply Management
Intel Corporation
JP Morgan
Knowledge Management Consortium International (Board of Directors)
Maeil Business TV Network & Newspaper (S. Korea)
Microsoft
MIT
National Science Foundation
Northrop Grumman Corporation
Ogilvy & Mather
Royal Philips Electronics N.V. (Netherlands)
Siemens AG
Silicon Valley Venture Capitalists and Tech CEOs
Tata Group (India)
Turkish Steel Conglomerate
U.S. Federal Government
Unisys Corporation
United Nations (World Headquarters)
UPMC
Vision Korea Campaign (S. Korea)
Wall Street Investment Bank(s)
Xerox
Ziff Davis

Global Recognition for Leadership of Hi-Tech Digital Transformation & Analytics Practices

To see a more complete list, please click here. A small sample is listed below.

Princeton Quant Trading Conference: Future of Finance Beyond 'Flash Boys': Cyber Finance
- (Invited Research Presentation on Computational Quantitative Risk Analytics, Apr 4, 2015)
Conference Sponsors: Princeton University Bendheim Center & ORFE, Citadel, KCG.

United Nations World Headquarters Global Economist Expert Panel
- 1 of 4 Global Expert Economists Leading the Global Panel on National Knowledge Assets

National Science Foundation National Computer Scientist Expert Panels
- 32 National Expert Panels of Computer Scientists for Multi-Million $ US Federal SBIR/STTR Grants

Carnegie Mellon University & Kellogg School of Management, Invited Executive Education Faculty
INSEAD (France) & Queen's University (Canada), Invited Keynotes & Research Lectures

AACSB 'exemplar' of 'considerable impact on practice' among Finance Nobel laureates
- Final Report of the AACSB International Impact of Research Task Force


Top 50 Worldwide Business & Economics Researchers of All Time
- Ranked in Scientific Impact Studies: University of Minnesota, Drexel University, ASIS&T
- Known for developing Global Discipline & Practice of Knowledge Management

Top Computer Sc., IT/OR/Economics journals & conferences: ACM, IEEE, IBM
- Invited Technical, Computing & Quantitative Modeling Expert Reviewer


Conference Board, Top CxOs, Invited Thought Leader & Keynote Speaker

Institute for Supply Management, Global Membership, Invited Thought Leader

Ziff Davis Global Standard of Internet Commerce, 1 of 4 Founding Editors & Founding Members
- National Leadership of US Corporate CxOs Executing the E-Commerce Standard


US Federal Government & Federal Agencies, Invited Council Partner

Silicon Valley Venture Capitalists and CEOs, Invited Thought Leader & Keynote Speaker

Intel Corporation Corporate Strategy: Next Generation e-Business Architectures
- Invited Research Grant & Expert Paper

United Nations World Headquarters: Global Expert Panel of Economists
- Invited Research Grant & Expert Paper

Philips Electronics (Netherlands)
- Corporate Level Global e-Business and Technology KM Strategy for Head of Firm

British Telecom (UK), Invited Thought Leader & Expert Vision Paper


Government of Mexico (Mexico City), Parliament / Cabinet, Invited Thought Leader & Keynote Speaker

South Korea (Seoul), National Vision Korea Campaign, Invited Thought Leader & Keynote Speaker

Government of Netherlands, Parliament / Cabinet, Invited Thought Leader

Top CxOs and Commanders of US Army, Navy, Air Force, Marine Corps
Consistently and actively apply Dr. Malhotra's research and practices:
To define and execute global & national cyberspace and defense strategies. E.g.:

Air Force Research Lab CIO Col. Tom Hamilton
Keynote to Armed Forces Communications Electronics Association, 2005.

US Department of the Navy Chief Information Officer
Metrics Guide for Knowledge Management Initiatives, 2001.

NASA CIO Paul Strassmann
Reviewed his expert paper as "critical and definitive examination of KM measurement."

US Air Force Colonel Roc A. Myers
Harvard University thesis as Air Force National Defense Fellow, 1997-98.

US Department of Army
Army Knowledge Symposium, 2002.
Examples of Known Influence of Work on other Global Leader CxOs
- Technology: Microsoft Founder Chairman & CEO Bill Gates
- Consulting: PwC Vice-Chairman and CKO Ellenn Knapp
- Banking: Goldman Sachs CxO & Top Executives

Wall Street Journal, CIO Magazine, CIO Insight, etc.
- Invited interviews in prestigious business and technology press

New York Times, Fortune, Forbes, Business Week, Computerworld, Information Week , etc.
- Rave reviews in prestigious business and technology press

Published Research: Top-2 journals, ACM/IEEE Journals & Proceedings
- Applied by global organizations such as NASA and World's Top Banks.


Examples of Known Influence on World's Most Prestigious Institutions
- Harvard & Princeton University Libraries reviewed work as standard reference
--- Such as edited / authored books on Digital Business Model Innovation
- Harvard Business School Professors reviewed work to teach Harvard MBAs
- Stanford
University, University of California Berkeley, Wharton, etc.
--- Such as National Information Infrastructure & KM Research


Other Examples of Global Invitations of Thought Leadership & Collaborative Work
(Invitations received but not availed due to prior commitments.)
- M&A & IPO Invitations, US Venture Capital & IT Firms
- Harvard University, Editorial Leadership of Harvard Business Review Digital Version
- Queen's University, Canada, Fulbright-Queen's University Visiting Research Chair
- Fudan University - National Science Foundation, January, 2008
- - - National Information Infrastructure Research
- National Science Foundation (NSF), USA, NSF research on Knowledge Management

- National Keynote Presentation on Knowledge Management, India
- - - Oil and Natural Gas Corporation Limited, India (ONGC),
- - - Expert Keynote Presentation for national event featuring the Prime Minister of India
- National Keynote Presentation on Knowledge Management, USA
- - - US Department of State, Expert Keynote Presentation on Knowledge Management
- National Keynote Presentation on Knowledge Management, Australia
- National Keynote Presentation on Knowledge Management, Saudi Arabia

Global Recognition for Leadership of Hi-Tech Digital Transformation & Analytics Practices

Advancement of Hi-Tech Risk Modeling & Risk Analytics in Top-Tier Research Academia

Invited CxO Keynotes & Expert Panels

Vision Korea Campaign Keynotes
Yogesh Malhotra among other 'Vision Korea' National Campaign Keynote Speakers in Seoul, South Korea:
Charles Lucier of Booz Allen Hamilton, David Snowden of IBM, Robert H. Buckman of Buckman Labs,
Hubert Saint-Onge
of Canadian Imperial Bank of Commerce, Ikujiro Nonaka of UC Berkeley

Invited Keynotes

  1. Princeton University, Princeton Quant Trading Conference, “Beyond Model Risk Management to Model Risk Arbitrage for FinTech Era: How to Navigate ‘Uncertainty’...When ‘Models’ Are ‘Wrong’...And Knowledge’...‘Imperfect’! Knight Reconsidered Again: Risk, Uncertainty, & Profit Beyond ZIRP & NIRP,” Invited Research Presentation, Princeton, New Jersey, April 16, 2016. Invited by the organizing committee of the Princeton Quant Trading Conference to share recent technical research on Offensive Cybersecurity-Financial Risk Management, Quant Algorithmic Trading, and Quantitative Finance. Conference sponsors included Princeton University, Goldman Sachs, SIG.

  2. Princeton University, Princeton Quant Trading Conference, “ Future of Finance Beyond 'Flash Boys': Risk Modeling for Managing Uncertainty in an Increasingly Non-Deterministic Cyber World,” Invited Research Presentation, Technical Quantitative Finance & Econometrics Track, Princeton, New Jersey, April 4, 2015. Invited by the organizing committee of the Princeton Quant Trading Conference to share recent technical research on Defensive Cybersecurity-Financial Risk Management, Quant Algorithmic Trading, and Quantitative Finance. Conference sponsors included Princeton University, Citadel, KCG Holdings.

  3. New York State Cyber Security Conference, Empire State Plaza, Albany, NY, “Advancing Beyond Predictive to Anticipatory Risk Analytics: CyberFinance: Why Cybersecurity Risk Analytics Must Evolve to Survive 90% of Emerging Cyber Financial Threats, and, What You Can Do About It?,” Invited Research Presentation, Finance Sector Track, Research Presentation at the 19th New York State Cyber Security Conference Presentation, Albany, NY, June 8-9, 2016, Empire State Plaza, Albany, NY. Conference sponsored by the New York State Governor and New York State Office of Information Technology.

  4. United Nations, “Measuring National Knowledge Assets: Conceptual Framework and Analytical Review,” Invited Keynote Presentation [Backup: UN Keynote], United Nations Department of Economic and Social Affairs Division for Public Administration and Development Management, New York City, New York, September 4, 2003. Invited by the UN to participate as the leading global expert on Asset Pricing and Measurement of National Knowledge Assets and one of four global experts on Knowledge Economics.

  5. Conference Board, “Managing Knowledge for e-Business Performance”, Leading New Economy Workplaces Conference, New York City, New York, May 16-17, 2001. Served as Advisory Board Member among John Seely Brown, Chief Scientist, Xerox; Pehong Chen, President, BroadVision; Tom Davenport, Director, Institute for Strategic Change, Accenture; Clement Mok, Chief Creative Officer, Sapient; and, Thornton May, Corporate Futurist, Guardent.

  6. Vision Korea Campaign, “Knowledge Management for the New Digital Economy,” Invited Opening Plenary Keynote Presentation, 4th Knowledge Management Academic Symposium, Korea Knowledge Management Society, Seoul, South Korea, May 13, 2000. Invited to deliver the plenary keynote to South Korea’s 400 national leaders and CxOs from the top corporations and university research academia leading the development of South Korea as a Knowledge Economy. Other Keynote Speakers in this National South Korean Keynote series included CxOs such as Charles Lucier, Chief Knowledge Officer of the strategy consulting firm Booz Allen Hamilton.

  7. KMWorld, “Knowledge Management for High Performance e-Enterprises: Business Strategy and Technology for 'Internet Time'”, KMWorld 2000, Santa Clara (Silicon Valley), CA, Sep. 12-Sep. 15, 2000. Invited to address Silicon Valley venture capitalists and CxOs as the founder and developer of digital ventures renowned for global thought leadership of worldwide CxOs on digital innovation of hi-tech business models and national economies.

  8. Government of Mexico, “Knowledge Management and Transformation of the Government: Opportunities and Challenges,” Invited Opening Plenary Keynote, Tecnologías de la información para el desarrollo de la Administración Pública, World Trade Center, Mexico City, Mexico, September 28, 1999. Invited to deliver the opening plenary keynote to the leading Cabinet Ministers of the Parliament of Mexico, 13 National Chief Information Officers, and 600 top IT Executives in the Government of Mexico. The other plenary keynote was given by the global head of G8 Electronic Governments reporting to UK Prime Minister Tony Blair.

  9. The Indus Entrepreneurs (TiE Global, Silicon Valley), "Growing Business Enterprises on the Net: The Way of the Wild Wild Web," Invited Opening Plenary Keynote, Cerritos, CA, April 21, 1999. Invited to deliver the opening plenary keynote to TiE Global, Silicon Valley angel investors, venture capitalists, CxOs and IT entrepreneurs at the annual conference organized by the leading Silicon Valley venture capitalists and angel investors organization, Silicon Valley based TiE Global, and hosted by the TiE Global Silicon Valley Board of Director Members, Mr. Safi Qureshey, the co-founder and former CEO of AST Research, Inc., a personal computer manufacturer acquired by Samsung Electronics in 1997. Invited to speak by TiE Global founder and board member Mr. Navneet Chugh to apparently substitute for Guy Kawasaki, the Silicon Valley venture capitalist and chief evangelist of Apple Computer, who had reported 'plane engine trouble.' The next plenary keynote was by the co-founder of Silicon Graphics. TiE Global, Silicon Valley held their annual global conference in alternate years in Los Angeles and Santa Clara given geographical residence and close networks of TiE founding members across the two places, as I was told by the gracious host, Safi Qureshey.

  10. Conference Board, “Beyond TQM & BPR: Leveraging Knowledge and Information Technology for Business Performance,” Invited Opening Plenary Keynote, Conference Board U.S. Quality Council, Executive Council of Global Center for Performance Excellence, Fort Lauderdale, FL, February 24, 1999. Invited to address CxOs of US corporations recognized as the winners of the Malcolm Baldrige National Quality Award.

  11. Annual Knowledge Management World Summit, “Toward Knowledge Management that Makes Sense: Making Business Sense of Information &Technology,” Invited Keynote Presentation, BrainTrust '99, San Francisco, CA, January 11-13, 1999. Other keynote presenters such as Kenneth T. Derr, Chairman and CEO of Chevron Corporation.
Invited Expert Panels

  1. National Science Foundation, National Expert Panel of Computer Scientists, Web Computing, Cyber Computing &Cyber Security, Small Business Innovation Research (SBIR) and Small Business Technology Transfer (STTR) Phase II ($500K per proposal), Arlington, Virginia, March 3 - March 16, 2005.
  2. National Science Foundation, National Expert Panel of Computer Scientists, Web Computing, Cyber Computing, Cyber Security, Small Business Innovation Research (SBIR) and Small Business Technology Transfer (STTR) Phase II ($500K per proposal), Arlington, Virginia, Arlington, Virginia, April 5 - May 4, 2004.
  3. National Science Foundation, National Expert Panel of Computer Scientists, Web Computing, Cyber Computing & Cyber Security, Small Business Innovation Research (SBIR) and Small Business Technology Transfer (STTR) Phase II ($500K per proposal), Arlington, Virginia, 2003.
  4. National Science Foundation, National Expert Panel of Computer Scientists, Web Computing, Cyber Computing & Cyber Security, Small Business Innovation Research (SBIR) and Small Business Technology Transfer (STTR) Phase II ($500K per proposal), Arlington, Virginia, August 10 - September 25 and October 3 - October 22, 2002.
  5. United Nations, “Knowledge Systems for Development,” Global Expert Panel of Economists, Ad Hoc Group of Experts Meeting, United Nations Department of Economic and Social Affairs United Nations Division for Public Administration and Development Management , New York City, New York, September 4-5, 2003.
  6. Vision Korea Campaign, “Knowledge Management for the New Digital Economy,” National TV Interview, Maeil Business TV & Newspaper, Seoul, South Korea, May 2000.
  7. Vision Korea Campaign, “Diagnosis of Korean Firms' Present Situation of Knowledge Management and Tasks in the Future,” Expert Panel, Korea Knowledge Management Society, Seoul, South Korea, May 13, 2000.
  8. Government of Mexico, “Knowledge Management and Transformation of the Government,” Expert Panel, Tecnologías de la información para el desarrollo de la Administración Pública, Mexico City, Mexico, Sep.28, 1999. The panel was composed of the key national cabinet ministers from the Mexico Parliament and the 13 CIOs representing the Government of Mexico.
  9. Government of Netherlands, “Knowledge Management for Guiding the Reorganization of National Educational, Technological and Institutional Infrastructures,” Advisory Panel, Dutch Ministry of Education, Culture and Science, Government of Netherlands, June, 1998.
  10. United States Federal Government, Council Partner, Inter-Agency Benchmarking & Best Practices Council, U.S. Federal Government, 1996-1998.
  11. Indian Institute of Technology, New Delhi, India, "E-Business and Knowledge Management: Up Close and Personal Looking Forward by Looking in the Rear View Mirror." Invited Editorial on the Inauguration and Launch of Indian Institute of Technology's Global Journal of e-Business and Knowledge Management.

Quantitative Models & Quantitative Methods Validation Review Panels
Economics, Decision Sciences, Operations Research, & Information Sciences

Academy of Management's Best Reviewer Award
- Structural Quantitative Modeling Article Best Paper Review

Editorial Reviewer Referee Panels of Tier-1 Research Journals
- 100+ Quantitative Statistical Modeling Reviews
- Structural Equation Models, Econometric Models, Regression Models, etc.
- For Research Publications such as:

Cambridge University Press, Harvard Business School Publishing

UN Global Economic Policy Expert Panel
United Nations World Headquarters, New York City, New York

- Invited Expert Paper on Quantitative Measurement of National Assets
- Invited Plenary Keynote on Quantitative Measurement of National Assets
- 1 of 4 Global Economists on
Global Expert Panel of 4 Economists
- 1 of 2 US Economists leading the Global Expert Panel
-- Among: Northwestern University Economics Department Chair

Research Monograph Reviews

Invited Editorial Review Panels

Research Journal Paper Reviews

Associate Editor

International Editorial Advisory Boards

Journal Special Issues Editor


Editorial Review Panels

Research Conference Paper Reviews

Editorial Review Panels

U.S. National Science Foundation SBIR/STTR Grants
Cyber Computing & Cyber Security Expert Reviewer Panels

Phase I ($100K Per Proposal) and Phase II ($500K Per Proposal)


32 National Science Foundation SBIR/STTR (Industrial Innovation and Partnerships) Expert Panels
Multimillion dollar grant awards for U.S. IT innovations in Cyber Computing & Cyber Security.

  1. A Novel Three-Dimensional Ear Biometric Technique
  2. A WebTurbine for Lightweight, Ubiquitous Internet Publishing
  3. BriefMaker - A Requirements Definition Tool
  4. Commercialization of Publicly Available Works
  5. Computer Aided Medical Website Evaluation
  6. Computerized Tool for Baggage Screening
  7. Development of 802.11 Asset Tag
  8. Dynamic Automated Search in the Context of Knowledge Creation
  9. GeoPOP: A Real-Time Location-Based Handheld Application
  10. Highly Accurate Reconstruction Module for Multidisciplinary Computation
  11. Hypertext Data Analysis Mapping: Software for Capturing, Organizing, and Reviewing Data Analyses
  12. Integrated Software and Systems for Large-Scale Nonlinear Optimization
  13. Integrating Usability Engineering into a Method for Multiple Platform User Interface Deployment
  14. Location-based PDA Bird Field Guide
  15. Low-Cost System For Making Online Purchases
  16. Modeler's Workbench: Web Services-based Modeling Platform for the Process Industry
  17. Multi-channel, Multi-device Collaboration System - Driving the Mobile Value Chain
  18. Nanoscale Transport Processes Prediction/Design/Analysis Tool for NEMS Applications
  19. Networked Basin Simulation Environment
  20. Next Generation Binary Decision Diagrams Based Logic Optimization System
  21. Object-Oriented Groundwater Data Repository Technology
  22. Personalized Wireless Network
  23. Polymer Workbench: Web Service Modeling Application Service and Integration for the Polymer Industry
  24. PortSirIsaac--A Web Productivity Portal for Science and Mathematics
  25. QTIPs - 24-Hour Technology Intelligence & Forecasting
  26. Quality-Based Knowledge Discovery for Information Retrieval in Large Communities
  27. Relational Database with Multiple User Interfaces Using Web Services Technology
  28. Technological Advances for On-line Pesticide Reporting Project
  29. Technology Stamps
  30. The Atmospheric Information Remote Project: A Commercial Software for Personal Computing Devices
  31. Unlocking Tacit Knowledge through Content-based Instant Messaging
  32. Web-Based International Trade Knowledge Discovery System

Permission is explicitly granted by the listed sole or primary author to reference or use any of the research frameworks, instruments, measures, and models in any of above papers by following appropriate norms of attribution of original sources.

 

 

 

 

"It is this "true" uncertainty, and not risk, as has been argued, which forms the basis of a valid theory of profit and accounts for the divergence between actual and theoretical competition... It is a world of change in which we live, and a world of uncertainty...If we are to understand the workings of the economic system we must examine the meaning and significance of uncertainty; and to this end some inquiry into the nature and function of knowledge itself is necessary."
-- Frank H. Knight
in
Risk, Uncertainty, and Profit
(Boston, MA: Hart, Schaffner & Marx; Houghton Mifflin Co), 1921.

'Knight Reconsidered':
Risk, Uncertainty, and Profit for the Cyber Era

(Ithaca, NY: Global Risk Management Network, LLC), 2015.

CIO MagazineRisk, Uncertainty, and Profit: Frank Knight

 

"The new business model of the Information Age, however, is marked by fundamental, not incremental, change. Businesses can't plan long-term; instead, they must shift to a more flexible "anticipation-of-surprise" model."
-- Yogesh Malhotra in CIO Magazine interview "Does KM=IT?", September 15, 1999.


The real world has been preparing to tackle Model Risks and Black Swans through 'anticipation of surprise' by 'effective challenge of models' for over a decade. How about you ?


Rethinking Risk & Controls for Managing Knightian Uncertainty & Complexity (Malhotra, 2005)

Source:Malhotra, Yogesh, On Rethinking Risk & Controls for Managing Knightian Uncertainty & Complexity, 2005.
[An interview with Yogesh Malhotra: Interview by: Alistair Craven] Among other Pioneers of Knowledge Management Global Research & Practices]

"...To begin with, I think that we need to develop a broad-based understanding about knowledge management as the new model of management of systems, processes, and related dynamics. Such a model for anticipating and managing faster, less predictable, and complex changes seems necessary given the demands imposed by the business environment of the knowledge economies... More than any other area of management practice or discipline, the paradigm of information systems based predictive models founded upon the key premise of deterministic control requires fundamental re-thinking to effectively serve the needs of knowledge management. Resolution of such problems is critical to the future of societies, enterprises, and governments that are increasingly dependent upon information and communication technologies..." More...



"Interestingly, a review of best-selling literature on successful practices in one of the most technical, numbers driven, globally popular area of financial markets provides some perspective about managing information in most unpredictable, radically changing environments that defy prediction, pre-determination and control. Despite the recognized importance of fundamental, technical, structural, and human aspects of such practices, it is well recognized that in the final analysis human elements often determine the sustained success or failure in such environments."
More...

Knowledge Management Common Body of Knowledge KM-CBK™ (Release 1.0)
Working Knowledge for Executives and Managers

 

"The very essence of what various IT systems can do in the context of KM begins and ends with people and processes. In absence of motivation and commitment on the part of the users, such systems cannot function."
-- Yogesh Malhotra in CIO Insight interview, July 1, 2004.


The world of Global Finance has been moving beyond Model Risks attributed to VaR since the Global Financial Crisis. Are your risk management models up-to-date?

 

 


CIO Insight

"KM is obsoleting what you know before others obsolete it and profit by creating the challenges and opportunities others haven't even thought about."

-- Yogesh Malhotra, Interview in Inc. Technology (#3, 1999)

The Future of Risk is here with latest Quantitative and Computational Methodologies & Techniques! Are you up to speed with Risk Management, Risk Modeling & Controls Frameworks for the post-WWW era of unprecedented global connectivity, information intensity & velocity developed right here and adopted by worldwide firms and governments.

 

 

 

Inc.

"Yogesh Malhotra says his vision is to fill the gaps between business and technology, data and knowledge, and, theory and practice. That's an ambitious undertaking."

-- Yogesh Malhotra, Interview in Fortune, Special Issue on the Knowledge Economy, 1998

Next Generation Computing and Statistical Probabilistic Methods are now a real world reality! It is more about 'Big Meaning' and 'Smart Decisions' rather than 'Big Data'! After the dust settles, those using 'Smart Decisions' and 'Big Meaning' are expected to outlast others who may only have the commodity called 'Big Data.' Are you prepared?

 

 

 

Fortune

"Knowledge Management caters to the critical issues of organisational adaption, survival and competence in the face of increasingly discontinuous environmental change ... Essentially, it embodies organisational process that seek synergistic combination of data and information processing capacity of information technologies and the creative and innovative capacity of human beings."

-- Yogesh Malhotra, Interview with The Wall Street Journal (Feb., 1997)

Next Generation Quantum Computing Capabilities on the cusp will ‘Stress Test’ your Models, Systems, and Networks like never before. Are you aware which of them will withstand the onslaught of the qubit revolution?

 

 

WSJ

"A viable competitive strategy seems to be one that is based upon making your own knowledge obsolete before it is obsolesced by the competition or the environment."


- Yogesh Malhotra in Business Standard (India) interview, 2007.

More on World Leading Hi-Tech Research Defining World Leading Global Finance & Risk Management Practices

 

 

Business Standard

 


*Pentagon Joint Chiefs: C4I-Cyber™: Beyond AI-Quantum Supremacy: Command-Control Supremacy™.
*US Air Force: AIMLExchange™: Invited Interviews: Top USAF Chief Scientist Pentagon Role.
*GIBC Digital Welcomes Leading Machine Learning & AI Expert to Lead $Billion AI-ML Data Center.
*Block Chain-Cloud Computing Pioneer: AI-Crypto Expert On Asia-Australia CEO Global Road Shows.
*MIT Computer Science & AI Lab AI-ML Executive Guide: MIT-Princeton AI-Quantum Faculty-SME.
*Princeton University Quant Trading-FinTech Crypto Presentations: Sponsors: Goldman Sachs, Citadel.

*2021 R&D Leading Worldwide Digital Practices: AI-ML-DL-Cyber-Crypto-Quantum-Risk-Computing
*2021 Joint Chiefs Of Staff: Beyond ABMS JADC2 to Quantum Uncertainty and Time-Space Complexity
*2020 Joint Chiefs Of Staff: AI-Quantum Autonomy in Space: Quantum PhD-Engineers Expert Keynote
*2021 Silicon Valley-Wall Street-Pentagon Digital Pioneer: Digital Startups to Trillion Dollar Enterprises
*2020 Making Quantum Computing Real for JADC2 With Qiskit: Quantum Communication & Networking
*2020 Beyond Data Protection to Command and Control (C2) Sustainability: U.S. Data Protection Act
*2019 Innovation Community (UK): Dr. Yogesh Malhotra: Future of AI-ML - Data Science, BlockChain
*2019 Journal of Financial Transformation: Capital Markets-Risks: AI Augmentation-Risk Management.
*2019 New York State Cyber Security Conference: AI-ML-GANs-DeepFakes: Cyber Risk of Deep Fakes.
*2016 New York State Cyber Security Conference: Beyond Predictive to Anticipatory Risk Analytics.
*2018 CFA Society Keynote: JP Morgan-Goldman Sachs Cases: Model Risk Management AutoML.
*2018 AFCEA C4I Cyber Conference: AI-ML-Cybersecurity Risk & Uncertainty Management Controls.
*2018 MIT Sloan-Computer Sc. & AI Lab AI-ML Executive Guide including RPA & Cognitive Automation
*2018 Princeton FinTech & Quant Conference: Invited Research Presentation: AI-ML-DL MRM.
*2016 Princeton Quant Trading Presentation: Beyond Model Risk Management to Model Risk Arbitrage.
*2015 Princeton Quant Presentation: Future of Finance Beyond 'Flash Boys': Managing Uncertainty.
*2018 Journal of Operational Risk: Toward 'Cyber-Finance’ Cyber Risk Management Frameworks.
*2017 National Association of Insurance Commissioners, Cyber Risk Insurance beyond VaR Models.
*2017 IUP Journal of Computer Sciences, April, Quantitative Modeling of Trust Management Protocols.
*Stress Testing for Cyber Risks: Cyber Risk Insurance Models beyond VaR: Risk, Uncertainty, & Profit.
*Integrated Enterprise Risk Management, Model Risk Management & Cyber-Finance Risk Management.
*Bridging Networks, Systems, Controls Frameworks: Cybersecurity Curricula & Standards Development.
*Advancing Cognitive Analytics Using Quantum Computing for Next Generation Encryption.
*Invited Princeton Quant Trading Presentations: 'Rethinking Finance' for Global Networked DeFi.
*Cybersecurity & Cyber-Finance Risk Management: Strategies, Tactics, Operations, Intelligence.

*Risk Management Framework: Penetration Testing: Banking-Finance Network VoIP Protocols.
*CyberFinance: Cybersecurity Risk Analytics Must Evolve to Survive Emerging Cyber Financial Threats.
*Beyond 'Bayesian vs. VaR' Dilemma: Managing Risk After Risk Management Failed for Hedge Funds.
*Measuring & Managing Financial Risks with Improved Alternatives Beyond Value-at-Risk (VaR).

*Markov Chain Monte Carlo Models for High-Dimensionality Complex Network Security Problems.
*Risk, Uncertainty, Profit: 'Knight Reconsidered': Model Risk Management in Cyber Risk Insurance.
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*Number Field Sieve Cryptanalytic Algorithms for Efficient Prime Factorization on Composites.
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*Bitcoin Protocol & Block Chain: Model of 'Cryptographic Proof' Crypto-Currency Payment Systems.
*2015-2023 120+ SSRN Top-10 Rankings: AI-ML-Quant-Cyber-Crypto-Quantum-Risk Computing.
*2008 AACSB International Impact of Research Report: Among Finance Nobel Laureates Black-Scholes

Top Wall Street Investment Banks Quantitative Finance Projects & FinTech Ventures

US Air Force HQ AI-Machine Learning Commercial Exchange: Pioneering AGI To Save the World
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Princeton: Future of Finance: 'Rethinking Finance' for Era of Global Networked Digital Finance.

Journal of Financial Transformation:Capital Markets: AI Augmentation Cyber Risk Management.
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MIT Sloan-Computer Sc. & AI Lab AI-ML Executive Guide including RPA & Cognitive Automation
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Journal of Operational Risk: 'Cyber-Finance’ Cyber Risk Management Frameworks of Practice.
National Association of Insurance Commissioners: Expert Paper: Cyber Risk Insurance Modeling
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Quantitative Finance Risk Analytics Modeling Wall Street Investment Banks & VC Projects
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Quantitative Finance Risk Analytics, Econometric Analytics, Numerical Programming Models
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Digital Transformation - Artificial Intelligence: ML-DL-NLP-RPA - Cyber-Crypto Computing - Post AI-Quantum Computing

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"There are many definitions of knowledge management. It has been described as "a systematic process for capturing and communicating knowledge people can use." Others have said it is "understanding what your knowledge assets are and how to profit from them." Or the flip side of that: "to obsolete what you know before others obsolete it." (Malhotra) "
- U.S. Department of Defense, Office of the Under Secretary of Defense (Comptroller)

"KM is obsoleting what you know before others obsolete it and profit by creating the challenges and opportunities others haven't even thought about -- Dr. Yogesh Malhotra, Inc. Technology"
- U.S. Defense Information Systems Agency Interoperability Directorate

"If you spend some time at [the digital research lab] founded by Dr. Malhotra you will be blessed by some of the world's most astute thinking on the nature of knowledge and its value."
- U.S. Army Knowledge Symposium, Theme: "Knowledge Dominance: Transforming the Army...from Tooth to Tail", Department of Defense, United States Army.

"We are observing diminishing credibility of information technologists. A key reason for this is an urgent need to understand how technologies, people and processes together combine to influence enterprise performance. Today's effective CIO doesn't deliver IT. He delivers business transformation services."
- Yogesh Malhotra, Journal of Knowledge Management, 2005
- United States Air Force Research Lab CIO Col. Tom Hamilton
in presentation to the Armed Forces Communications Electronics Association titled 'Enterprise IT Solutions Are Tough But They're Tougher If You're Stupid', July 21, 2005.

"Knowledge Management refers to the critical issues of organizational adaptation, survival and competence against discontinuous environmental change. Essentially it embodies organizational processes that seek synergistic combination of data and information processing capacity of information technologies, and the creative and innovative capacity of human beings." -- Yogesh Malhotra
- United States Department of Navy

"Dr. Yogesh Malhotra, PhD, drawing upon numerous sources, proposes several theories as to how IT can be used to drive the change of organizations. As environments become more turbulent, organizations must adapt at the same rate to maintain its advantage. Among his theories are that the turbulent environments (in this case, business, but can translate to the turbulent military conflict environment) drive organizations to use IT for empowering workers at all levels, increasing span of control, and increasing lateral communications."
- United States Marine Corps, Reorganization Of The Marine Air Command And Control System To Meet 21St Century Doctrine And Technology, Thesis, September 2001.

"The self-organizing capacity of dynamically adaptive systems is amazing. They tend to eliminate redundancy, minimize connections, and establish priorities--all without outside direction. When something is organized, we tend to believe that someone organized it, some outside influence. But that's not necessarily so. Self-organization is a process in which the organization of a system occurs spontaneously based on the action of its members, without this process being controlled by an external system. The richness of possible behavior increases rapidly with the number of interconnections and the level of feedback. (Malhotra) "
- U.S. Army War College Quarterly

"Dr. Malhotra argues in Business Process Redesign that reengineering is the notion of discontinuous thinking -- recognizing and breaking away from outdated rules and fundamental assumptions. He suggests that reengineering principles are organized around outcomes, and that people who use the output should perform the process. This links parallel activities instead of integrating results, and puts the decision point where the work is performed (Malhotra, 1996). Integrating the DPW processes further into the installation staff can achieve these outcomes. Seventy percent of Business Process Redesigns (BPR) fail because of business focus on cost-cutting and narrow technical approaches (Malhotra, 1996). The installation commanders should decide how DPWs could best serve the community. They should have the opportunity to focus on efficient output and not on restructuring to cut cost. Developing the Corps as the primary service provider narrows the commander's options and does not solve the problem, merely the symptoms. The ultimate success of BPR depends on the experience of people who execute it and how well they apply their creativity to redesigning the processes."
- U.S. Army Management Staff College

"These activities are often described as "knowledge management." See Knowledge Management, in the World Wide Web Virtual Library, edited by Yogesh Malhotra. (Accessed June 16, 1998)....The terms "marshalling" and "mobilization" are intended here to represent two major activities of knowledge management in U.S. national security decisionmaking. Although others may describe and classify basic knowledge-building activities differently, "knowledge management" has been accepted as an umbrella term. See. for example, TheWorld Wide Web Virtual Library on Knowledge Management, edited by Yogesh Malhotra, (Accessed June 16, 1998)..."
- U.S. Air Force Colonel Roc A. Myers, Colonel (s), Harvard University Air Force National Defense Fellow with the Program in 1997-98. Strategic Knowledgecraft: Operational Art for the Twenty-First Century, Roc A. Myers, Prepared while an Air Force National Defense Fellow with the Program in 1997-98 (September 2000).

"Seventy percent of BPR projects fail. Three primary obstacles inhibit the success of reengineering projects: Lack of sustained management commitment and leadership -- It is critical that senior leadership not only support BPR but also be a vocal advocate. Unrealistic scope and expectations -- It is important to manage expectations. BPR is not a panacea that will cure all ills. Resistance to change -- The world is changing all the time and the pace of change continues to accelerate. It will continue to change whether we participate or not. We must change with it or be left behind. AIT provides AIS program managers the opportunity to completely reexamine and reengineer their entire business process, because it offers capabilities not previously available in terms of timeliness and accuracy of data capture. During the operational prototype, the Air Force provided an excellent example of a reengineered business process as a result of AIT. The Supply Asset Tracking System (SATS) is a front-end server that integrates AIT with the supply AIS, the Standard Base Supply System (SBSS). SATS uses linear bar codes for tracking and inventory purposes and smart cards for personal identification to verify receipt and establish personal accountability of property. (Malhotra) "
- U.S. Department of Defense Logistics Implementation Plan

"Knowledge Management caters to the critical issues of organisational adaption, survival and competence in the face of increasingly discontinuous environmental change ... Essentially, it embodies organisational process that seek synergistic combination of data and information processing capacity of information technologies and the creative and innovative capacity of human beings." - Yogesh Malhotra
- Royal Australian Air Force (RAAF) AIRCDRE John Blackburn, Director General Policy and Planning - Air Force (DGPP-AF), Royal Australian Air Force (RAAF), in Air Power Conference 2000.

"First intangible assets are defined in relation to core competencies of the firm. Each core competence is a combination of intangible assets such as knowledge and skills, standards and values, explicit know-how and technology, management processes and assets, and endowments such as image, relationships, and networks. Knowledge creation is the core competence of any firm (Malhotra, 2000)."
- Government of UK, Ministry of Defence

"Malhotra noted the importance of Information Systems for organizational learning, mentioning a series of techniques, methods and tools that can foster organizational learning at many steps of the process: knowledge acquisition, creation and distribution [Malhotra, 1996]."
- Canadian Department of National Defence, Canada, Defence R&D Canada

"Knowledge Management caters to the critical issues of organisational adaption, survival and competence in the face of increasingly discontinuous environmental change. Essentially, it embodies organisational process that seek synergistic combination of data and information processing capacity of information technologies and the creative and innovative capacity of human beings. -- Yogesh Malhotra"
- Air Force, Australia, Director General Policy and Planning

"According to Malhotra, KM ensures that right knowledge is applied at the right place and time and it is about doing the right thing instead of doing things right. Its application to R&D will avoid unnecessary duplication of research. It can help support both individual and organizational learning from past successes and failures while guiding future actions and changes."
- International Atomic Energy Agency

"The Knowledge Management (KM) area has become so diverse over the past ten years as researchers have begun to investigate not only the mechanics of knowledge creation and transfer but also of social and cultural issues that are of importance in understanding this topic. KM is the process of leveraging and utilizing the vast, untapped potential of both implied and documented knowledge to achieve optimal performance, both are equally important for improving performance. Knowledge Management enables businesses to exchange and optimize the knowledge and experience. "Knowledge Management caters for the critical issues of organisational adoption, survival and competence in face of increasingly discontinuous environmental change. Essentially, it embodies organizational processes that seek synergistic combination of data and information processing capacity of information technologies, and the creative and innovative capacity of human beings" (Dr. Yogesh Malhotra 1997)."
- IBM

"In his latest book, Knowledge Management and Virtual Organisations, KM luminary, Dr. Yogesh Malhotra, offers some cautionary advice. He exposes three myths often associated with KM solutions. The first of these is that knowledge management technologies can deliver the right information to the right person at the right time. This assumes businesses will develop incrementally in stable markets. However as Malhotra says, "the new business model in the Information Age is marked by fundamental, not incremental change. Businesses can't plan long-term; instead, they must shift to a more flexible 'anticipation of surprise' model. Thus it is impossible to build a system that predicts who the right person at the right time even is, let alone what constitutes the right information."
- Microsoft Corporation

"All can be used to further the goal of keeping the channels of communication open to allow for the exchange of issues and ideas within an organization. According to BRINT Institute chairman and CKO Dr. Yogesh Malhotra, "The key issue is not about the latest information technologies, but whether those technologies are used within, and for facilitating, a culture of information sharing, relationship building and trust." With communication and trust, set within the solid framework of a component architecture, your business can harness that elusive ability to get the right information to the right people at the right time for the right business purposes."
- Cisco Systems, Inc.

"According to Yogesh Malhotra, Knowledge Management practitioner and web author, "Knowledge Management is a brand new field emerging at the confluence of organization theory, management strategy, and management information systems." Breaking apart this definition, Knowledge Management can be defined as an internal, corporate strategy. Knowledge Management can also stand alone as a separate, Information Technology program. Malhotra is right on target when he states that Knowledge Management is a brand new field. Knowledge Management began receiving airplay in 1996. At that time, Tom Davenport wrote in CIO Magazine that a chief knowledge officer "captures and leverages structured knowledge, with information technology as a key enabler." Expanding upon Malhotra and Davenport's definitions, Knowledge Management within NCR Corporation can be defined via a business objective (strategic), a method of Knowledge Management delivery (the management information system), and a role within the organization. NCR's objective is to create, capture, and disseminate knowledge."
- NCR Corporation

"Institutionalization of 'best practices' by embedding them in information technology might facilitate efficient handling of routine, 'linear,' and predictable situations during stable or incrementally changing environments. However, when this change is discontinuous, there is a persistent need for continuous renewal of the basic premises underlying the 'best practices' stored in organizational knowledge bases. -- Yogesh Malhotra in Knowledge Management in Inquiring Organizations"
- Vice President, SAP, North America in SAP Portals ASUG Meeting

"Often used synonymously, the terms knowledge and information, are actually different. Information facilitates knowledge, and can exist without knowledge. Knowledge, however, cannot exist without information. To simplify the concept, Dr. Yogesh Malhotra, renowned scholar on Knowledge Management, defines "Knowledge" as potential for action that has an immediate link to performance. This definition suggests that a person's response or action, or contextual consideration for future action, based on information, is knowledge."
- VeriSign Inc.

"It is generally agreed that the greatest challenges to knowledge management initiatives are resistance to change in both an organization's information-sharing culture and the business processes that occur as a result. K.M. Malhotra defined the problem as follows: Culture is the most difficult component of KM to define, quantify, measure and influence. However, the success or failure of an effective KM program is almost solely dependant upon whether an organization's culture encourages or hinders sharing and transferring knowledge freely within the organization's structure. One thing is certain: an organization's cultural predisposition toward the free transfer of knowledge is largely reflective of the proactive stance demonstrated by the organization's leadership."
- Northrop Grumman

"Il Knowledge Management essenzialmente coinvolge processi organizzativi che cercano di realizzare una combinazione tra le capacità di elaborazione di dati e informazioni e le capacità creative e innovative degli esseri umani. (fonte: Yogesh Malhotra, Ph.D., Knowledge Management for the New World of Business...)"
- Microsoft, Italy

"Knowledge Management refers to the critical issues of organisational adaptation, survival and competence against discontinuous environmental change. Essentially it embodies organisational processes that seek synergistic combination of data and information processing capacity of information technologies, and the creative and innovative capacity of human beings. This definition proposed by Dr. Yogesh Malhotra summarises a key issue for e-learning strategies and the way they will impact professional training and companies' organisation policies."
- European Commission

"In the Committee's view, definitions that treat the area as a discipline rather than a mere collection of technologies best encapsulate what knowledge management means. For example, Malhotra says:, "Knowledge Management caters to the critical issue of organisational adaptation, survival and competence in the face of increasingly discontinuous environmental change..."
- Parliament of Victoria, Australia

"It is therefore impossible to typify the roles of Knowledge Management workers other than the CKO, and indeed these roles themselves are in a constant state of change. Dr. Yogesh Malhotra defines this as follows: Given the need for autonomy in learning and decision making, such knowledge workers would also need to be comfortable with self-control and self-learning."
- Government of UK

"We are facing "permanent white-waters" which demands strategies for adaptation to uncertainty in contrast to the conventional emphasis on optimisation based on prediction (Malhotra 1999). To quote a decision-maker in a large multinational firm; "The future is moving so quickly that you can't anticipate it. We have put a tremendous emphasis on quick response instead of planning. We will continue to be surprised, but we won't be surprised that we are surprised. We will anticipate the surprise." (Malhotra 1999)."
- Government of Sweden

"It is difficult, not to say impossible, to replace the significance of individual or collective face-to-face interactions in the sharing of tacit knowledge and articulating it as explicit in an organization, even if rapid development of interactive multimedia applications combining text, image and sound offers increasingly advanced communication potential. Virtual forms of working and work organization might at best supplement, but never totally replace, self-managing teams with close physical and social contacts, for instance, as a forum for learning. (Malhotra) "
- Government of Finland

"A key feature of knowledge management is the sharing of knowledge as opposed to simply the dissemination of information. Knowledge has a different quality to information. Knowledge includes human experience and the ability to make complex judgments based on past experience. Information is more about mere data whereas knowledge is 'potential for action'. (Malhotra)
- Government of Australia

"Ich glaube die Technology ist der leichtere Teil des Ganzen. Die wirkliche Herausforderung stecken doch darin wie die Geschäfts-Prozessen und die darauf aufbauenden Geschäfts- Modelle in Einklang gehalten werden mit den radikalen änderungen in der Geschäftswelt und dem Berufsbild der "Knowledge Worker."[Malhotra, 1993]."
- Government of Austria

"Knowledge management refers to the critical issues of organizational adaptation, survival and competence against discontinuous environmental change. Essentially it embodies organizational processes that seek synergistic combination of data and information processing capacity of information technologies, and the creative and innovative capacity of human beings," says Dr. Yogesh Malhotra, founding chairman and chief knowledge architect of the BRINT Institute, in an interview with Alistair Craven. Widely recognized as a knowledge management pioneer, Malhotra adds, "Knowledge management is more about the pragmatic and thoughtful application of any concept or definition, as it is not in the definition but in real world execution where opportunities and challenges lie. Any definition therefore must be understood within the specific context of expected performance outcomes and value propositions that answer the question 'Why' about relevance of KM.""
- U.S. Embassy, American Center, New Delhi, India

"Knowledge management, which is a new field emerging from the confluence of organisation theory, management strategy and management information systems, is viewed as an essential driver for innovation. According to Malhotra "Knowledge Management caters to the critical issues of organisational adaption, survival and competence in face of increasingly discontinuous change. Essentially it embodies organisational processes that seek a synergistic combination of data and information processing capacity of information technologies, and the creative and innovative capacity of human beings"."
- Government of South Africa

"Estes ativos do conhecimento aumentam com o uso e daí a importância de as empresas identificarem o que sabem e manterem todo o esforço para desenvolverem área de gestão do conhecimento. A gestão do conhecimento, segundo Malhotra é a capacidade de catalizar os aspectos críticos de adaptação, sobrevivência e competência, buscando uma combinação sinérgica da capacidade de processar informações e conhecimento com a capacidade criativa e inovativa dos seres humanos. (MALHOTRA, 1999)."
- Government of Brazil

"Esta enumeración no implica que algún factor no pueda ocupar a la vez distintas posiciones. La principal característica del nuevo entorno de las organizaciones es su alto nivel de incertidumbre. Por incertidumbre entendemos "la diferencia entre la cantidad de información requerida para realizar una tarea y la cantidad de información ya en poder de la organización" YOGESH, Malhotra.""
- Government of Argentina

"The disconnect between IT expenditures and the firms' organizational performance could be attributed to an economic transition from an era of competitive advantage based on information to one based on knowledge creation." - Yogesh Malhotra
- Government of Mauritius

"The focus of knowledge management is on 'doing the right thing' instead of doing things right, (Yogesh Malhotra, 2001). The emphasize is that that knowledge management provides framework within which the organization views all processes of the activities to sustain the business and/or ensuring the business survival. Within the army organization, there is no difference. The army needs to keep pace with the technology advancement preparing for the increasingly dynamic and unpredictable regional and world environment."
- Royal Military Police Directorate, Army HQ, Malaysia

"Knowledge Management embodies organnizational processes that seek synergistic combinations of data and information processing capacity of information technologies, and the creative and innovative capacity of human beings." -- Yogesh Malhotra, Ph.D."
- Government of Malta

"Dr. Yogesh Malhotra, one of the experts and founder contributor in the development of concept of KM has defined the KM as under : "Knowledge Management caters to the critical issues of organizational adaptation, survival and competence in face of increasingly discontinuous environmental change. Essentially, it embodies organizational processes that seek synergistic combination of data and information processing capacity of information technologies, and the creative and innovative capacity of human beings". As it is clear from this definition that objective of Knowledge Management as a crucial management function is not only to survive under changing environment but also to make the organisation adaptable and competitive. The same is particularly applicable for Banks in India, since they are now operating under such a dynamic business environment."
- Indian Banks' Association, India

"Dr. Yogesh Malhotra, the Founder and Chief Knowledge Architect of BRINT, and a well-known expert in the field of K-economy, opines: "The challenges facing us as we enter the 21st Century are formidable. Globalization, Information Technology and Shareholders' Values are transforming the world. To meet these challenges is to become a knowledge-creating or knowledge intensive organization"."
- Indian Banks' Association, India

"Knowledge Management has structural and functional basis in the IM (Information Management or IRM. The main difference is the high degree of dynamic activity involved in the KM system. To summarize in the words of Dr. Malhotra, (10) 'use of the information and control systems and compliance with pre-defined goals, objectives and best practices may not necessarily achieve long-term organizational competence. This is the world of 're-use,' 're-engineering', 're-cycling' etc, which challenges the assumptions underlying the 'accepted way of doing things.' This world needs the capability to understand the problems afresh given the changing environmental conditions. Knowledge management focuses on 'doing the right thing' instead of 'doing things right.'"
- Indian Statistical Institute, Bangalore, India

"Knowledge Management caters to the critical issues of organizational adaption, survival and competence in face of increasingly discontinuous environmental change. Essentially, it embodies organizational processes that seek synergistic combination of data and information processing capacity of information technologies, and the creative and innovative capacity of human beings."
- National Academy of Psychology (NAOP), India

"Finally, all who are concerned with IT security issues should understand -- and appreciate -- the difference between information and knowledge. Information, writes Yogesh Malhotra, PhD, is embedded in a computer -- while knowledge is embedded in people. "Information generated by a computer is not a very rich carrier of human interpretation for potential action," he writes. "Computer are merely tools, however great their information-processing capabilities may be."
- Chairman of the Board, The Institute of Internal Auditors

"Leadership Quote of the Week: The focus of knowledge management is on doing the right thing instead of doing things right... Yogesh Malhotra"
- Chartered Management Institute, UK

"Dr. Yogesh Malhotra, founder of the Brint Institute and a pioneer in knowledge management, posits that "the basic premise is that you can predict how and what you'll need to do and that IS can simplify this and do it efficiently". However, the new business model, he says, is marked by fundamental, not incremental, change and businesses can't plan long-term. Instead, they must shift to a more flexible "anticipation of surprise" model, making it impossible to build a system that can predict what is the right information to be delivered to the right person at the right time. This is not to say that information technology has been displaced from the knowledge management equation; its place has been preserved by a growing realisation among developers that software alone cannot automatically be seen as the solution."
- National President of the Australian Computer Society, Australia

"Yogesh Malhotra, founding chairman and chief knowledge officer for the BRINT Institute in Syracuse, New York, believes that the fundamental distinction between data and knowledge plays a major role in whether a system is designed for adaptation and quick response to change. "Dynamic and radically changing environments overwhelm the deterministic logic of a structured model, resulting in a 70 percent failure rate that has characterized implementations of knowledge management models" says Malhotra. Recounting his visit to a Silicon Valley hi-tech consulting firm, Malhotra attributes most failed corporate intranet initiatives to the above fallacy... Malhotra says that once routinized for efficiency and optimization, knowledge-harvesting processes may be delegated to others. However, supply managers need to be more proactively involved in knowledge-creation and knowledge-renewal processes..."
- Institute for Supply Management (ISM)

"Yogesh Malhotra, founding Chairman and Chief Knowledge Architect of the BRINT Institute states: "Knowledge management software is not a canned solution; "Knowledge management technologies cannot always deliver the right information to the right person at the right time; "Information technologies cannot store human intelligence and experience; "Knowledge management systems do not account for renewal of existing knowledge and creation of new knowledge; "Greater incentives are needed for workers to contribute quality content to KMS." Improper use of KMS databases can waste resources if an organization does not really know what knowledge assets it possesses and fails to capitalize on potential new initiatives."
- National Association of Realtors

"Similarly, Dr. Yogesh Malhotra, the famous "Knowledge Architect", wrote a cautionary article on "When Best [Practices] Becomes Worst", Momentum: the Quality Magazine of Australasia, Quality Society of Australasia, NSW (Australia, 2002). In fact, the conditions for producing and utilizing knowledge workers are not a question of the persons concerned merely acquiring subject-matter expertise, problem-solving competency and communication skills. It is essential to provide an environment where such persons can operate and flourish. In the same vein, one of Malhotra's recent books (monograph) for UNESCO discusses knowledge work taking place in "hyper turbulent organizational environments.""
- International Labour Office (ILO)

"Knowledge Management - Discipline that seeks to improve the performance of individual organizations by maintaining and leveraging present and future value of knowledge assets, encompassing both human and automated activities. " Knowledge Management caters to the critical issues of organizational adaption, survival and competence in face of increasingly discontinuous environmental change.... Essentially, it embodies organizational processes that seek synergistic combination of data and information processing capacity of information technologies, and the creative and innovative capacity of human beings." - Dr. Yogesh Malhotra"
- U.S. Department of Health & Human Services

"The mechanistic model of information processing and control based upon compliance is not only limited to the computational machinery, but extends to specification of goals, tasks, best practices and institutionalized procedures to achieve the pre-specified outcomes." -- Yogesh Malhotra
- European Health Management Association, Ireland

"KM has become an increasingly important management discipline in recent years. Nevertheless, some say the phrase KM is unhelpful because 'knowledge is not a "thing" that can be "managed"1. They challenge the 'dominance and control model' that often underlies traditional views of knowledge and organisational management and development. They assert instead the notion that knowledge is largely cognitive, tacit and highly personal. They champion the fundamental role of people and the social interactive basis of knowledge sharing and creation. (Malhotra, Y..) "
- UK Department of Health

"Knowledge management is viewed as an essentialdriver for innovation. According to Malhotra, "Knowledge Management caters to the critical issuesof organisational adaptation, survival and competencein the face of increasingly discontinuous change.Essentially it embodies organisational processes thatseek a synergistic combination of the data andinformation processing capacity of informationtechnologies, and the creative and innovative capacityof human beings"."
- United Nations Development Program (UNDP), Geneva, Switzerland

"Adaptive Learning (See: Double Loop Learning): "Adaptive learning, or, single-loop learning, focuses on solving problems in the present without examining the appropriateness of current learning behaviors." -- Malhotra, Y., Organizational learning and learning organizations: an overview."
- World Health Organization (WHO)

"Dr. Yogesh Malhotra is regarded among the world's most influential practitioners and thought leaders on knowledge management. Widely recognized as a knowledge management pioneer, in this extensive interview read what Dr. Malhotra has to say about knowledge, information, technology and chasing success in this field."
- Emerald Group Publishing Ltd (UK)

"Dr. Yogesh Malhotra in the US is a leader in the knowledge management field. In a recent article written for the US Journal for Quality & Participation, he has pointed to a problem in relation to organisations investing heavily in information technology but not realising gains in terms of knowledge creation."
- Irish Times, Ireland

"Be that as it may, there is no doubt that domestic enterprises, faced by a complete bankruptcy of knowledge and ideas, will, some day, understand the value of the knowledge held by their employees. In the meantime, they would do well to study the writings of Dr. Yogesh Malhotra, an authority on technology and innovation management, business performance, and corporate strategy issues related to information systems, knowledge management, e-business and electronic commerce, business decision models, and new organisation forms."
- The Hindu, A Major National Daily Newspaper, India

"Professor Yogesh Malhotra of Syracuse University, New York, and expert in this field, has recently argued that one of the reasons for this failure is that more often than not knowledge management is practiced in isolation and does not take into account the dynamism of the external environment."
- Malaysian Business, Malaysia
The Global RISK Management Network

Managing Change, Uncertainty, and Complexity through People-Process-Technology

The Mission

Educate... Enlighten... Empower...

Leading edge thinking and practice on Contemporary Global Risk Management issues to enable and facilitate Organizational and CxO Performance.

Current focus of our overarching theme of anticipating surprise within a global environment of increasing dynamic uncertainty and complexity is on next-generation computational mathematical quantitative models of uncertainty and risk management beyond model risks exposed by the global financial crisis of 2008 and subsequent extreme events and black swans.

A sample of our corporate and organizational clients, patrons, and users is listed below:

Global Corporations: Goldman Sachs, Google, HP, IBM, Intel, Microsoft, Wells Fargo

Consulting Firms
: Accenture, Ernst & Young, McKinsey, PricewaterhouseCoopers

World Governments: Australia, Brazil, Canada, China, European Union, UK, USA

U.S. Defense: AFRL, Air Force, Army, CCRP, Comptroller, DISA, DoD, NASA, Navy, RAND

World Defense: Australia (Air Force), Canada (Defence R&D), UK (Ministry of Defence)

Business Schools: Harvard, MIT, Princeton, Stanford, UC Berkeley, Wharton

Associations
: AACSB, ABA, ACM, AICPA, AOM, APICS, ASTD, ISACA, IEEE, INFORMS

5 Tenets That Drive this Digital Social Enterprise for Public Good
  1. Genuine care about most crucial concerns of the global community.
  2. Doing a lot and giving it away without expecting anything in return.
  3. Really caring about how what we produced made a real difference.
  4. Actively seeking to know about it through published public record.
  5. Adapting our focus based upon crucial world events and concerns.

* Where our contributions to advancing global managerial research and practices have been covered

* Worldwide organizations that have worked with us in pioneering cutting-edge business technology management practices as sponsors and patrons

* One example of how our digital social enterprise has proactively contributed to advancement of worldwide managerial practices

* A small percentage of millions of our global users and members that have chosen to join our latest global virtual community

5 Dimensions of Creating Global Benchmarks through
High Impact Risk Management Practices

1. Global High-Profile Footprint: Global RISK Management Network is unique in being the world's digital gateway to the largest pool of talented minds involved in Contemporary Financial Risk Management, Systemic Risk Management, Enterprise Risk Management, and, Operational Risk Management issues related research and practices across the USA and all other countries of the world. Among our users are world's respected corporations and consulting firms; prestigious business, management, and technology institutions; top-tier publishers of business, management, and technology literature; high profile world development agencies; and, world governments and national defense services of most progressive nations of the world.

2. Global High-Profile Research Impact: References to our leading-edge research on risk management are found across all areas of business, technology, and management practices in every realm of social and economic activity across all countries of the world. In any given month, our ventures service the learning, developmental, and networking needs of a few million business technology management professionals on average. Our content, community, research, and thought leadership have been generously endowed with a user base of world-wide learners and patrons. They serve as a highly focused reference and are visible on the web sites and intranets of worldwide corporations, organizations, institutions, associations, publishers, libraries, and, publications.

3. Global High-Profile Reviews: Global RISK Management Network Web portals are the home of award-winning content, community, research, and practices reviewed and recommended in the columns of Wall Street Journal, Business Week, Fortune, Forbes, Fast Company, Chief Executive, CIO Magazine, CIO Insight, Computerworld, Information Week, KM World, New York Times, Los Angeles Times, Seattle Times, and thousands of other worldwide publications. Many of our activities have received unsurpassed reviews and awards in worldwide popular press as well as practitioner and scholarly forums.

4. Global High-Profile Thought Leadership: The global impact of the thought leadership of Global RISK Management Network is self-evident in the policies, strategies, and practices of world governments and worldwide organizations across most countries of the world. World's governments, corporations, institutions, and, corporate executives seek and apply Global RISK Management Network's counsel on national policies and corporate strategies. Worldwide consultants, managers, entrepreneurs, corporate executives, government officials, professors, and scholars reference our research and practices.

5. Global High-Profile Mentors and Supporters: The minds behind this knowledge-based global social enterprise consist of world’s most distinguished experts ranked among Nobel Prize winners and most distinguished professors from most prestigious institutions. The minds that support this social enterprise consist of world’s most esteemed scholars and practitioners whose works and words literally move world economic markets and shape the world economy.

The futuristic paradigm of Complex Adaptive Systems that can handle unprecedented change, uncertainty, and complexity continues to be the central theme of research and practice on which Global RISK Management Network was founded. It is also the central theme on which our early contributions to managerial practice have been written about by the New York Times and the Wall Street Journal among others. For instance, commenting about controls and regulation in complex and uncertain business environments, we observed the following in an invited interview published by the UK management press in 2005:

"Paradoxically, the economies of the bygone era had inculcated in most managers the models of scientific management based on deterministic control. However, in the new era of rapid pace of increasingly unpredictable change, such models of deterministic control would result in failures - particularly of large-scale systems. The challenge lies in trying to control what is uncontrollable. The emergence of the digital era has resulted in the 'perfect storm': managers trying to impose greater controls when such controls are either economically expensive to sustain and often even detrimental to the viability of the increasingly 'out-of-control' systems. The mechanistic thinking that served its purpose well during the industrial era seems to underlie many of the current failures of large scale global systems."
Rethinking Risk Management for the 'New Finance'

In contrast to other paradigms of finance, accounting, and economics that inform our understanding, our research and practice focus on understanding systemic risks, extreme events, and, related models of controls and compliance as applicable to information, systems, change, and related dynamics. Our focus on uncertainty, complexity, and, radical change and commensurate business performance within dynamic environments has informed worldwide managerial practices starting with the first multi-internet protocol WWW browser in beta 'building' the World Wide Web. It is in the context of radical discontinuous change events also known popularly as 'black swans' and 'extreme events' after the Global Financial Crisis wherein financial economics theory and research and related global practices need to make crucial advancements in risk management for the new finance. Such advancements will be in terms of overcoming their apparent inability in predicting ‘critical events’ such as the global financial crisis and prescribing strategies for anticipating inherently 'unpredictable' future crises of global financial systems.

Global RISK Management Networktm has its current focus on advancing worldwide risk management practices for global financial systems and capital markets. By 2005, our research focus on systemic failures and extreme events, recognized subsequently for its impact on actual practice by the AACSB International in 2008, had advanced to make us ponder about a possible forthcoming systemic failure of the global finance systems. The rest is history. For instance, in the same interview with the UK management press mentioned above, we had made the following observations:

"Interestingly, a review of best-selling literature on successful practices in one of the most technical, numbers driven, globally popular area of financial markets provides some perspective about managing information in most unpredictable, radically changing environments that defy prediction, pre-determination and control. Despite the recognized importance of fundamental, technical, structural, and human aspects of such practices, it is well recognized that in the final analysis human elements often determine the sustained success or failure in such environments. Interestingly, such environments that defy prediction and control are also characterized by a virtual absence of [pre-determined, pre-specified] rules as most rules are defined, applied and used through subjective interpretations by specific players in the game."

"On one hand, human aspects characterize the hallmark of the necessary focus and discipline required for sustained success in such highly information-intensive environments often characterized by unpredictable, radical and discontinuous changes. However, on the other hand, the same human aspects of hope and fear - regardless of prior history of experience and expertise - result in elimination of more than 90 percent of players within less than a year. Also, most successful practitioners in such high velocity and hyper-turbulent information-intensive environments recognize the insurmountable challenges posed by command and control stereotypes that characterize less information intensive jobs and professions of the industrial economy."

Radical Change, Extreme Events and Black Swans

Global RISK Management Network is the champion of business and technology management practices relevant to the brave new world of business, also described as a world of 'black swans' and 'extreme events' . In hindsight, Global RISK Management Network’s vision at the time of its founding about today's world unfolding decades later seems to have been prophetic as apparent from its original welcome statement:

"Global RISK Management Network is the champion of business and technology management practices relevant to the brave new world of business, also described as a world of radical discontinuous change. This world full of continuous surprises of unforeseen dimensions and change of uncharted scale is characterized by evolving models of work, workplaces, business enterprises, institutions, and other formal and informal organizations. This is the world in which the success formulas and best practices of yesterday could become failure traps of tomorrow and enterprises that were Goliaths of yesterday may become dinosaurs of tomorrow. Until this point, you may have read about this new world in some of the popular books on business transformation, change management, knowledge management and e-business. Welcome to the marketspace where this world is being charted, understood, defined and practiced... welcome to the new world of business!!"

Global RISK Management Network has served as the world's epicenter from which specific Business Technology, or "BizTech", as we called the integrated Business-Technology application focus that we pioneered, focus on operational risks, enterprise risks, and systemic risks was adopted by CxOs and governments across most countries of the world. Recognized for contributions to the advancement of global managerial practices on operational, enterprise, and systemic risk management, our focus has been squarely on advancing the obsolescent financial risk management paradigm since a few years preceding the Global Financial Crisis of 2008.

After the turn of the last century, this digital social enterprise has been probably most recognized for developing and disseminating worldwide its basic and applied view of non-deterministic uncertainty and risk management for detecting and pre-empting risk management failures for increasingly unpredictable and complex business environments. Global RISK Management Network was founded as BRINT Institute (BRINT is short for Business Research in Information and Technology, and based upon its original name, 'A Business Researcher's Interests' with registered trademark of @BRINT) originally conceived to bridge the gaps between business and technology, data and knowledge, and, theory and practice, "an ambitious undertaking", as reported by the Fortune cover story on the Knowledge Economy. For more than a decade, Global RISK Management Network has serviced the learning, networking, and professional growth needs of millions of users on average in any given month.

Instead of remaining stuck in the obsolescent paradigm of 'IT' "for managing 'data' and 'information'", this digital social enterprise represented a significant departure in the early 1990s from the prevailing textbook focus of most information and systems related academic views by its pragmatic and realistic choice to focus on managing what [we believe] really matters - change, uncertainty, and complexity. On the dawn of the Global Financial Crisis, our long-term perspective on radical discontinuous change events was brought into mainstream focus in terms of extreme events and ‘black swans’ more than a decade after we published original influential applied research and academic research on this subject. Related research published across multiple influential books, and, journal and conference papers underlying this paradigm was influenced by the thinking of founding philosophers of Information Systems and Operations Research such as Charles West Churchman (PhD advisor of Russell L. Ackoff), Russell L. Ackoff (who was coincidentally the PhD advisor of the PhD advisor of this research venture's founder), Jay W. Forrester, Herbert A. Simon, and, Norbert Wiener; economists and complexity theorists of self-adaptive complex systems at the Santa Fe Institute such as Brian Arthur, and John Holland (the father of genetic algorithms); and, strategists such as Steven Kerr, CLO and Vice President of leadership development at GE and subsequently CLO and Managing Director at Goldman Sachs. The original concept of the real-life instantiation of the forerunner of FinRM as “The Knowledge Creating Company” was influenced by the book of the same name by Ikujiro Nonaka.

Beyond Systems Failures from Uncertainty-Complexity

Before providing global leadership of worldwide executive practices on non-deterministic uncertainty and risk management, this venture laid the foundation of related risk disciplines spanning underlying practices of strategic risk management, systemic risk management, enterprise risk management, and operational risk management.

Through above digital risk management ventures, we pioneered a global vision of practices built upon new information, communication, computational, and numerical technologies in the post-WWW era being applied for not only tackling but pre-empting increasingly complex and uncertain business environments characterized by extreme events and black swans.

To advance beyond increasingly unpredictable colossal failures of global systems despite increasing sophistication of computational systems and mathematical models, we developed the foundation of non-deterministic uncertainty and risk management by 'anticipation of surprise' to guide worldwide practices. This foundation was based upon a new understanding of knowledge management as risk management for business environments characterized by radical discontinuous change events or extreme events.

In the aftermath of the Global Financial Crisis of 2008, such highly improbable events have been popularized as black swans. The above functional paradigm is most widely referenced in global research and practices given its focus on holistic and dynamic understanding about the people-process-technology relationships for systemic performance based upon systems thinking and systems dynamics. This paradigm squarely addresses the integration of people-process-technology aspects that are critical for realizing the success of computational systems and mathematical models in radically and unpredictably changing business environments. The foundation of the strategic and systemic risk management focus on non-deterministic uncertainty and risk management by 'anticipation of surprise' was reinforced through our creation of the world’s first content and community portals on both Knowledge Management and Business Technology Management including the world's first global virtual Digital Transformation community of practice (CoP) called The BizTech Network just after the advent of the World Wide Web.

 

ACMIEEE

American Bar AssociationAmerican Society for Training and Development


AACSB International

"In ten years, we may read a Business Week or U.S. News and World Report ranking of the top learning portals. It remains to be seen whether the names on this ranking will still belong only to traditional business education providers or whether newcomers such as BRINT will be ranked between Harvard and Wharton." - AACSB International


knowledge-lighthouse-in-a-stormy-ocean


"The dogmas of the quiet past are inadequate to the stormy present. The occasion is piled high with difficulty, and we must rise to the occasion. As our case is new, so we must think anew and act anew."
- Abraham Lincoln

 

 

World Leading Hi-Tech Research Defining World Leading Risk Management Practices

As evident from published public records, editorial reviews of our social enterprise driven applied hi-tech research and practice ventures have appeared in...

Fortune

"Founder Yogesh Malhotra says his vision for this site is to fill the gaps between business and technology, data and knowledge, and, theory and practice. That's an ambitious undertaking."
- Fortune, Special Issue on the Knowledge Economy, 1998

United States Army United States Navy

"If you spend some time at [this digital research lab] founded by Dr. Malhotra you will be blessed by some of the world’s most astute thinking on the nature of knowledge and its value."
- United States Army, Department of Defense, U.S. Army Knowledge Symposium, Theme: Knowledge Dominance: Transforming the Army...from Tooth to Tail, Army Knowledge Symposium, 2002

United States Air Force United States Marine Corps

"Dr. Yogesh Malhotra, PhD, drawing upon numerous sources, proposes several theories as to how IT can be used to drive the change of organizations. As environments become more turbulent, organizations must adapt at the same rate to maintain its advantage."
- United States Marine Corps, Reorganization Of The Marine Air Command And Control System To Meet 21St Century Doctrine And Technology, Thesis, September 2001.
AFRL

"We are observing diminishing credibility of information technologists. A key reason for this is an urgent need to understand how technologies, people and processes together combine to influence enterprise performance. Today's effective CIO doesn't deliver IT. He delivers business transformation services." - Yogesh Malhotra, Journal of Knowledge Management, 2005"
- United States Air Force Research Lab CIO Col. Tom Hamilton in presentation to the Armed Forces Communications Electronics Association titled 'Enterprise IT Solutions Are Tough But They're Tougher If You're Stupid', July 21, 2005.

"Knowledge Management caters to the critical issues of organisational adaption, survival and competence in the face of increasingly discontinuous environmental change ... Essentially, it embodies organisational process that seek synergistic combination of data and information processing capacity of information technologies and the creative and innovative capacity of human beings." - Yogesh Malhotra
- Royal Australian Air Force (RAAF) AIRCDRE John Blackburn, Director General Policy and Planning - Air Force (DGPP-AF), Royal Australian Air Force (RAAF), in Air Power Conference 2000.

"KM is obsoleting what you know before others obsolete it and profit by creating the challenges and opportunities others haven't even thought about -- Dr. Yogesh Malhotra in Inc."
- U.S. Defense Information Systems Agency Interoperability Directorate

Inc.

among other worldwide governments and national defense agencies such as...


NASA

IAEA

American Institute of Certified Public Accountants (AICPA)

"A Pretty Powerful Portal. Smart Stop on the Web."
- American Institute of Certified Public Accountants

Fast Company
"A Virtual Library of the Best Sources for Knowledge Management and Intellectual Capital."
- Ellen M. Knapp, Vice Chairman & CKO, Coopers & Lybrand (later PwC) in Fast Company, 1997

Harvard Business School

Harvard University

Harvard Business Press Publishing

"Will keep enthusiasts of Knowledge Management entertained for hours."
- Harvard Business Publishing

Stanford Graduate School of Business

Stanford School of Medicine

Stanford University

MIT Sloan School of Management

MIT 50 K Entrepreneurship Competition

MIT Press

MIT Libraries

Yale Law Journal

Wharton School

Princeton University

UC Berkeley

UC Berkeley Haas School of Business

among other worldwide firms and organizations such as...


Forbes

"Tool for raising your company's IQ..." - Forbes

Business Week

"What every CEO should know..." - Business Week

"Best business information source..." - Business Week

Forbes

"A practical guidepost..." - Chief Executive

Fortune

"Thumbs up for this serious surfer's tool useful for managers..."

- Fortune

Wall Street Journal

"Contemporary business management and technology issues..." - Wall Street Journal

"Pool of largest collection of knowledge management literature..." - Wall Street Journal

"One of the best HR sites on the Internet..."
- Wall Street Journal: Career Journal


"Complexity theory made easy..."
- Wall Street Journal

New York Times

"Invaluable for applying complexity theory to business management..." - New York Times

San Jose Mercury News

"First on the list for in-depth sites for company and industry research..." - San Jose Mercury News

Fast Company

"Yahoo! for Business & Technology.
If @Brint doesn't have it, then you probably don't need it." - Fast Company


"Best source for knowledge management and intellectual capital..." - Fast Company

Computer World

"Best site for information technology and business information..." - Computerworld

CIO Magazine

"Wealth of incredibly rich, useful and interesting information..." - CIO Magazine

Information Week

"Unparalleled in depth and relevance for business research..." - Information Week

InfoWorld

"Best web site for keeping up with hi-tech industry developments..." - InfoWorld

"Best web site on the topic of knowledge management..." - InfoWorld

 

 


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