Dr. Yogesh Malhotra "Yogi"
Global Worldwide Impact & Global R&D and Practice Rankings

Who's Who in America®, Who's Who in the World®, Who's Who in Finance & Industry®, Who's Who in Science & Engineering®
New York State: 'Join Dr. Yogi Malhotra to Get up to Speed on Cloud Technology.': AI-ML-Quant-Cyber-Crypto-Quantum-Networks
2024: New York State Capitol Conference Presentation: "Beyond GenAI: HAI: How to Ensure You Are Not Replaced by GenAI-LLMs"

Leading Global Digital, Artificial Intelligence-Machine Learning,
Future of Post AI-Quantum Computing Built from Beta Version of the First WWW Browser:
30-Years as World-Leading AI-ML-Quant-Cyber-Crypto-Quantum-Risk Computing & Global Digital Transformation Networks Pioneer
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

As Artificial Intelligence-Machine Learning, Quantum Computing, Networks Security, Cryptography and Controls Algorithms, Data, and Models Uncertainty and Risk Modeling and Risk Management Pioneer, Dr. Yogesh Malhotra leads Global, U.S., and New York State Business-Technology Transformation, Banking & Finance, Defense & Space, Healthcare Transformation, and Higher Education & Learning Innovation Practices for over 30-years. Our latest US Air Force-Air Force Research Lab New York State IDEA Award-winning AWS-Quantum Valley Global Digital Know-Build-Monetize ventures welcome collaborations from the latest generation global Digital Transformation and Disruption Startups and Big Tech to world's largest Trillion-Dollar Hedge Funds, including World's Largest Corporations and Governments, as "We Create the Digital Future. You Can Too! Let's Show You How!"

We have built an unparalleled 30-year track-record of guiding the latest generation global Digital Transformation and Disruption Startups and Big Tech to world's largest Trillion-Dollar Hedge Funds, including World's Largest Corporations and Governments, by invitation. Our world-leading global Digital Practices, Technologies, Networks, and Ventures are ranked and recognized as global industry benchmarks for post-WWW "BizTech" [see, for instance, CIO Magazine report on our genesis of what subsequently became known worldwide as 'Digital Transformation'] Digital Disruption to post Generative AI-Quantum Computing Practices of the Future. We execute such Practices through world-leading Consulting, Intelligence, Research, Development, Deployment, Training, and Learning activities having started with beta version of the first WWW browser as a Cloud-native Digital enterprise from inception in early 1990s.

As the Chairman & CEO of the Silicon Valley-Wall Street-Pentagon-Global Digital CEO Practices Pioneer AWS Partner New York Venture Capital & Private Equity Firm Global Risk Management Network, LLC, Dr.-Eng.-Prof. Yogesh Malhotra ('Yogi') builds and leads global Trillion-Dollar Hedge Funds Digital Quant Finance & Trading and Pentagon Joint Chiefs Digital Defense & Space AI-ML-Quant-Cyber-Crypto-Quantum Advanced Risk Computing and Networks Engineering practices. As Silicon Valley, Wall Street, and Pentagon Advisor and Chief Scientist-Chief Technology Officer for U.S. and Global Venture Capital, Private Equity, and CEO-CTO-CxO Teams, our AWS-Quantum Valley™ Know-Build-Monetize™ Ventures lead Silicon Valley for 30 years as the Digital Pioneer invited by Silicon Valley Angel Investors and Venture Capitalists to lead them on "Growing Business Enterprises on the Net: The Way of the Wild Wild Web."™

Over the course of the recent decade, as the Silicon Valley-Wall Street-Pentagon-Global Digital CEO-CTO-CxO Digital Transformation and Risk Management pioneer, our invited R&D presentations at the annual New York State Cybersecurity Conference sponsored by the New York State Governor and CIO continue advancing New York State Capitol Information Technology, Cybersecurity, Artificial Intelligence (AI), Machine Learning (ML), Quantum Computing, Cryptography, and Cloud Computing practices. At the 2023 annual conference, advancing upon 30-year R&D driven global practices leadership, we shared Why ChatGPT-LLMs-Generative AI Cannot Be Trusted and Why We Still Need to Advance R&D on Them for Advancing Beyond Limitations of ChatGPT, Large Language Models, and Generative AI. As AWS Accredited-Certified Partner and AWS Academy Educator and AWS Machine Learning University Educator with AWS CTO Fellowship on the AWS Startup Council, we are guiding and leading the future of post-GPT Cyber-Resilient AI-ML Software Development as well as already building Post-GPT Future of Cyber-Resilient AI-ML Education & Training Skills Development as SUNY Lumen Circles Fellow.

Drawing upon our recent R&D driven global practices development, at the latest 2024 annual conference we shared How to Ensure You Are Not Replaced by Generative AI-Large Language Models: Prepare for Post-GPT Future of Cyber-Resilient AI-ML Software Development and Education & Training Skills Development. As the world-leading global Digital Transformation pioneer and founder of world's Top Digital Site, Search Engine and Social Networks, we reinforced our lead at the latest conference with the launch of the World's First Meta-Generative AI Meta-Search Engine Augmented AI Technologies that further reinforce our standing as the world's top Knowledge Management Engineering 'Knowing-Doing' experts with our US Air Force-Air Force Research Lab 'Demo Day' New York State IDEA Award Winner Ventures AWS-Quantum Valley Know-Build-Monetize™ Networks continuing to revolutionize the worlds of Global Digital Living, Learning, and Working: Why Search When You Can Know™ - Why Learn When You Can Build™ - Why Work When You Can Monetize™.

As AWS Accredited-Certified Partner [AWS Certified Machine Learning - Specialty, AWS Certified Security - Specialty, AWS Certified Solutions Architect - Associate, AWS Certified Cloud Practitioner] with AWS CTO Fellowship on the AWS Startup Council CEO of "AWS-Quantum Valley Building Quantum Minds for Quantum Uncertainty", and world's most highly trained AWS Partner with demonstrated global world impact, Dr. Yogesh Malhotra is the AWS Academy Educator and AWS Machine Learning University Educator Building the Future of AI-Machine Learning Higher Education & Practices with AWS for Workforce Development.

"First, we advanced beyond the AI-ML Stanford Computer Science & Engineering Machine Learning and Deep Learning Specializations curricular focus on the legacy of 'Neural Networks' to address large-scale real-world failures of such systems as global experts with R&D ranked and recognized for impact among AI and Quant-Finance Nobel laureates on those themes."

"Second, we analyzed and built upon the latest cutting-edge Generative AI and Machine Learning practices being built and released contemporaneously by the world-leading AI-ML-Engineering technology companies such as Amazon-AWS to address Quantum Uncertainty, Dynamic Uncertainty and Adversarial Uncertainty Risk Management focus on which our practices have documented lead on the global Risk Management standards such as ISO 31000 by over 25-years as published in recent research journal articles."

"Third, we continued our thrust on Computer Science & Systems Engineering advancement of 'Data-Driven' AI-ML to 'Network-Centric Management of Dynamic Change, Quantum Uncertainty and Complexity as Self-Adaptive Complex Systems & Chaos Engineering pioneer recognized in the global press such as The New York Times and The Wall Street Journal."

Advancing on R&D leading global Managers and CEOs ranked for impact among Artificial Intelligence and Computational Quantitative Finance Nobel Laureates such as Herbert Simon, Black-Scholes, William Sharpe, and Harry Markowitz, recently, as AWS Academy Educator and AWS Machine Learning University-SUNY Lumen Circles Fellow, Dr. Yogesh Malhotra advanced the Largest Comprehensive University System in the United States as Lumen Circles Fellow "post-Generative AI" Faculty Mentor and Professor of Artificial Intelligence and Machine Learning in Computer Science & Engineering beyond Stanford University's globally popular Artificial Intelligence (AI) and Machine Learning (ML) curriculum Machine Learning Specialization focus built on the legacy of the "neural networks" to the 'post Generative AI Future of AI and ML' advancing our world-leading focus on Building Quantum Minds for Quantum Uncertainty™. In doing so, we continue building the Future of Global Digital 'Workspaces' Practices as well as the Future of University and Higher Education and Industrial Workforce Human Capital, Intellectual Capital, and Social Capital Development Practices in AI-Machine Learning, Computer Science and Information Systems to align with the most critical needs of 'post Generative AI' workforce practices.

Having led Trillion-Dollar Wall Street Quantitative Finance Hedge Funds and Quant Finance-Trading world leaders beyond the Global Financial Crisis, as an American-U.S. CEO-CIO-CTO-CISO, Computer Scientist, Information Technologist, Wall Street Quant, Telecom-Networks Engineer, Dr. Yogesh Malhotra's ventures continue to advance the execution of Pentagon Joint Chiefs next-generation Advanced Battle Management Systems-Joint All Domain Command & Control (ABMS-JADC2) as the JAD Adversarial and Counter-Adversarial Command & Control (ABMS2-JADAC2-JADCAC2) pioneer and next-generation Wall Street Hedge Funds Financial Trading and Risk Management as the 'Black Hat' Model Risk Arbitrage pioneer.

As Chief Scientist on the Pentagon US Air Force (USAF) C4I-ISR CTO and DoD-wide CIO Senior Advisor [to Joint Artificial Intelligence Center (JAIC) inaugural Director "Jack" Shanahan] team with clients such as USAF Secretary and JAIC CTO with our USAF-Air Force Research Lab (AFRL) and New York State award-winning venture as MVP for DoD-wide AI-ML enablement, Dr. Yogesh Malhotra got invited for interviews as a potential candidate for the U.S. Air Force top-Science role of Pentagon USAF Chief Scientist, advisory role to the USAF-Secretary and the Chiefs of US Air Force and Space Force, for which the prior Defense Advanced Research Projects Agency (DARPA) Director was selected to fill the role.

As Quant Finance & Trading Risk Engineering pioneer for Trillion-Dollar Wall Street Hedge Funds and Investment Banks like JP Morgan and early adopter CEO-CxO Network teams such as Goldman Sachs, our AI-ML-DL-Cyber-Crypto-Quantum-Risks-Networks Engineering practices lead and guide VC-PE Digital CEO-CTO-CxO teams. For example, as Quantitative Finance-Risk Modeling-Data Analytics Chief Scientist for the JP Morgan Global Head of Quantitative Research & Analytics and US Head of Portfolio Construction teams, Dr. Yogesh Malhotra led and guided the global JP Morgan headquarter teams of JP Morgan Managing Directors, Portfolio Managers, and Liquidity Risk, Credit Risk, and Market Risk Quants beyond the Global Financial Crisis.

As Global Artificial Intelligence-Machine Learning, Quantum Computing, Networks Security, Cryptography and Controls Algorithms, Data, and Models Uncertainty and Risk Modeling and Risk Management Pioneer, we are also called upon by worldwide world-leading Technology, Management & Leadership programs for leading and guiding their Executives. Having served earlier as Digital Transformation and Knowledge Management Pioneer Executive Education Faculty for Carnegie Mellon University and Kellogg School of Management, recently, as post AI-Quantum Computing pioneer, Dr. Yogesh Malhotra served as Faculty-Subject Matter Expert for Management-Leadership Executive Education programs such as MIT Computer Science & Artificial Intelligence Lab and MIT Sloan School of Management, and Princeton University Quant Finance & Trading industry Conferences for Finance Wall Street Quant Leaders sponsored by Citadel, Goldman Sachs, and Princeton University and the Princeton University Operations Research & Financial Engineering and Bendheim Center for Finance.

Additionally, Dr. Yogesh Malhotra's recent AI-ML-Quant-Cyber-Crypto-Quantum-Risk Computing invited Keynotes, Presentations, and Expert Papers have been advancing New York State Capitol AI-Machine Learning-Quant-Cyber-Crypto-Quantum Risk Computing practices over the recent decade, DoD Pentagon Joint Chiefs Advanced Battle Management Systems (ABMS) Joint All Domain Command & Control (JADC2) practices, Global Quantum Computing and AI in Space and Satellite Autonomy & Control practices, US and Global Alternative Investment Managers and Hedge Funds practices, European Union FinTech Data Sovereignty and AI-Machine Learning-Cybersecurity and Law Enforcement practices, in addition to the US National Insurance Industry Regulation Practices such as for the National Association of Insurance Commissioners (NAIC), Artificial Intelligence & Machine Learning Risk Management and Controls such as for Wall Street Hedge Funds and for global industry associations such as Chartered Financial Analyst (CFA) Society, and, Value-at-Risk (VaR) and Extreme Risks Modeling for Wall Street Investment Banks and Hedge Funds and global industry associations such as the Professional Risk Managers' International Association (PRMIA). With world-leading and world's top-ranked Science & Technology innovation R&D, our world's first real 'Knowledge-Creating Company' ventures including our invited interviews, expert papers, keynotes, and industry presentations have been building the world's Digital Future for 30-years.

Dr. Yogesh Malhotra's invited New York State Capitol R&D presentations on leading-edge AI-Machine Learning-Quantum Computing Network Security and Risk Management practices at the New York State Capitol Conferences sponsored by the New York State Governor and CIO on leading-edge AI-Machine Learning-Quantum Computing Network Security and Risk Management innovations continue to advance New York State Capitol statewide Cyber Security practices for the last eight years. Earlier, Dr. Yogesh Malhotra led and advanced the New York State Top-Digitized County Government Administration in de facto Head of Security Administration and Networks Administration CISO Role, being a Cyber Computing and Cyber Security Pioneer [National Science Foundation 32 SBIR/STTR Expert Panels, Certified Information Systems Professional CISSP since 2005, Certified Information Systems Auditor CISA since 2007, and Certified Ethical Hacker CEH since 2014 and trainer of New York State Networks Cyber-Offense and Defense and CompTIA+ Network Security Administrators].

As Human-Centered and Meaning-Aware Artificial Intelligence and Machine Learning Pioneer, Dr. Yogesh Malhotra has served as Management & Leadership Executive Education Faculty-SME building Future of Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing (NLP), Robotic Process Automation (RPA), and Autonomous-Robotics [such as 'Self-Driving' Vehicles and UAVs] for the MIT Computer Science & AI Lab and MIT Sloan School of Management. As Model Risk Arbitrage and Model Risk Management Pioneer building Future of AI-ML Computational Quantitative Finance & Trading practices, he has served as Faculty-SME on AI-ML-Quant-Cyber-Crypto-Quantum-Computing practices at the Princeton University Conferences sponsored by the Princeton University Operations Research & Financial Engineering, Princeton University Bendheim Center for Finance, and top Wall Street Investment Banks such as Goldman Sachs and Citadel. Earlier as Digital Transformation and Knowledge Management Pioneer, Dr. Malhotra served as invited Executive Education Faculty for Carnegie Mellon University and Kellogg School of Management.

Recognized as one of the world's first globally known 'Chief Knowledge Architect' (CKA) and 'Chief Knowledge Officer' (CKO) building and leading Silicon Valley CEO-CIO-CTO Digital Practices, Dr. Yogesh Malhotra's Digital ventures lead US and global Digital Transformation worldwide starting with the beta version of the first WWW browser, recommended as the go-to Digital Pioneer by Microsoft Founder Bill Gates; pre-IPO Google, IBM, Intel, Ogilvy, British Telecom (UK), Philips (Netherlands), Hewlett-Packard and other Big-Tech and Digital firms coming to us for their global Digital Transformation; Goldman Sachs and other Big Banking & Finance firms, Hedge Funds, and Big Tech firms as our early global Digital CEO-CxO Networks members; and Global Big-4 Consulting firms such as Accenture, E&Y, Silicon Valley-McKinsey & Company, and PwC CEOs-CxOs-Founders-Leaders-Partners seeking and following our guidance.

As the Digital e-Government Pioneer guiding the US Federal Government in the role of the U.S. Federal Government 'Council Partner' on the invitation of the U.S. Department of Veterans Affairs -- the US Federal Agencies Lead Agency for Business Process Reengineering and Knowledge Management, and as a world-class Digital National Governments and Digital National Knowledge Economies expert, Dr. Yogesh Malhotra has also guided and led the United Nations (UN) World Headquarters - UN Department of Economic and Social Affairs for building worldwide National Knowledge Economies, and the US and World Global and National Governments, Parliaments and Cabinets; Government of Switzerland Federal Department of Economic Affairs, Education and Research; Government of Netherlands National Parliamentary Cabinet; Government of Mexico National Parliament; and the National Economy of South Korea with accompanying National TV and National Newspaper Interviews by Maeil Business Newspaper and TV.

As world's Top-Ranked Knowledge Management Engineer among Top-3 Knowledge Management Scholar-Practitioners [Ikujiro Nonaka, Tom Davenport, Yogesh Malhotra], ranked in a global worldwide Information Systems survey by the Drexel University, in addition to serving as invited advisor on Knowledge Management for the National Science Foundation (NSF) world headquarters leadership, Dr. Yogesh Malhotra has served by invitation on 32 NSF national expert panels of Computer Scientists and Venture Capitalists as pioneer of Digital Cyber-Computing and Cyber-Security practices allocating double-digit multi-million-dollar SBIR/STTR US Federal Grants advancing U.S. national innovations commercialization in Cyber-Computing and Cyber Security. He has served by invitation for the United Nations New York City global world headquarters national expert panels of global Economists as Quantitative Economist Methods, Models, and Measurement expert on Human Capital, Intellectual Capital, and Social Capital advancing global worldwide National Knowledge Societies as author of global UN expert papers and invited presenter of the first global UN Economists' Global Expert Panel keynote on Knowledge Management Quantitative Methods and Measures of Global National Human Capital, Intellectual Capital, and Social Capital Development.

Dr. Yogesh Malhotra's R&D is ranked for scholarly and applied impact among Artificial Intelligence and Quant-Finance Nobel Laureates. As the first inter-disciplinary Quantitative Methods professor at the Syracuse University Whitman School of Management, Dr. Malhotra's R&D impact is ranked among Nobel laureates such as Herbert Simon in world-leading research impact studies with AACSB Global Impact of Research Report recognizing global impact among Finance Nobel Laureates such as Black-Scholes, William Sharpe, and Harry Markowitz for his research on Why Knowledge Management Systems Fail, and recognized by the CNet Networks-awarded Corporate Computing Award for most influential applied-industrial research. Inspired in 1995 by his communication with John Holland, the Computer Scientist-Psychologist pioneer of AI-Genetic Algorithms, then at the Santa Fe Institute, we have since led global worldwide Self Adaptive Complex Systems and Chaos Engineering CEO-CxO practices reviewed as global industry benchmarks by The Wall Street Journal and The New York Times. Just after concluding his PhD in 1998, Dr. Malhotra had published the first research paper on Human-Centered Artificial Intelligence and Meaning-Aware Artificial Intelligence in the top Artificial Intelligence-journal, Expert Systems with Applications: An International Journal, top-ranked by the journal as the most read paper and noted by one of Pitt alums as the paper followed by the world's top Intelligence organizations.

As US and Global Higher Education-University Learning Programs, National Benchmarking and University Learning Assurance Accreditation Leader at the Syracuse University Martin J. Whitman School of Management for the Information Systems Program and the Accounting Department AACSB Learning Assurance Dean's Committee Member, Dr. Yogesh Malhotra served on the Accounting, Decision Sciences, MIS, Information Technology, Management Science, Operations Research, and, Supply Chain Management MBA and undergraduate faculties. He was awarded multiple Syracuse University institutional, Martin J. Whitman School of Management, and departmental research grants at the Syracuse University while he served as global National Science Foundation (NSF) HQ leadership advisor leading 32 NSF national expert panels of Computer Scientists, University Deans, and Venture Capitalists on multi-million SBIR/STTR U.S. Cyber-Computing and Cybersecurity Innovation R&D grants allocation. Additionally, Dr. Malhotra also served as the first Knowledge Management-Quantitative Economics Methods advisor to the United Nations (UN) world HQ leadership as Human Capital, Intellectual Capital, and Social Capital SME while serving on global UN Economist expert panels such as with the Organisation for Economic Co-operation and Development (OECD). Moreover, Dr. Yogesh Malhotra also served as the subject-matter expert (SME) providing invited interviews and keynotes for worldwide U.S. and Global Economic Impact organizations such as the Conference Board and the Institute for Supply Management while a professor at the Syracuse University Martin J. Whitman School of Management.

As the most prolific and productive Digital Innovation pioneer of University and Higher Education Learning programs Digital Transformation, Dr. Yogesh Malhotra led the development of AACSB-accredited programs and courses on subjects such as Advanced Analytics, e-Business and Knowledge Management at Syracuse University and other largest U.S. public-private universities while being world-ranked for R&D impact of his original Digital Innovation R&D leading Silicon Valley among Artificial Intelligence and Quantitative Finance Nobel Laureates. Dr. Malhotra has been ranked and recognized for R&D impact among Nobel Laureates in global academic research impact studies of global universities and higher education accreditation agencies and associations across both Business and Technology such as Association to Advance Collegiate Schools of Business (AACSB) and Association for Information Science and Technology (ASIS&T) as one of the youngest worldwide Business and Technology university faculties member while serving as a Syracuse University professor. In addition to being awarded Instructional and Teaching Innovation grants by the Syracuse University for achieving interdisciplinary University Teaching certifications as an Entrepreneurship Faculty from the Kauffman Foundation and as Enterprise Resource Planning (ERP) and Customer Relationship Management (CRM) Faculty from the SAP University Alliance, he also served as the selected institutional Syracuse University Intellectual Property Committee Member from the Whitman School of Management.

For being a paragon of excellence in serving the "public good" to "illustrate how a university, as a source and generator of knowledge, can impact other countries and institutions," he received the commendation letter dated April 5, 2005 from the Syracuse University Chancellor and President Nancy Cantor noting the following:

"Thank you for sharing the information regarding the Fullbright-Queen University's Visiting Research Chair in the Management of Knowledge-Based Enterprises. Receiving an invitation to compete for this prestigious position is very impressive and reflects the high quality of your scholarly work."

"I also very much enjoyed reading about your many engagements in the larger global community. You have certainty embraced the spirit of serving the public good and illustrate how a university, as a source and generator of knowledge, can impact other countries and institutions. I congratulate [you] on your hard work as both a scholar and as a citizen of the world."

Prior to that, in course of the invited Top-10 PhD Research Fellowship with the founder of Information Systems and IT Strategy disciplines Pitt University Professor, Yogesh Malhotra pioneered post-WWW global AI-Machine Learning, Knowledge Management, Digital Social Networks, Global and National Information Infrastructures practices. Those doctoral applied R&D practices included his role as Principal Investigator with the Chief Information Officer of the University of Pittsburgh Medical Center (UPMC) for one of First United States National Healthcare Systems Digital Transformation in collaboration with the MDs-Physician Leaders-Pioneers of the Electronic Medical Record (EMR) as clients. His PhD Thesis on the University of Pittsburgh Medical Center (UPMC) Digital Transformation advanced World Wide Web Networks Adoption, Utilization, and Innovation Diffusion Structural Equation Models of Digital Enterprise Communication, Collaboration, and Coordination Social Networks built around the Microsoft Exchange Server. Among his several applied, industrial, and scholarly research innovations in that Longitudinal Field Study of Human-Machine Networks Performance are foundational understanding of Socio-Technical Networks with clear distinctions between Humans and Machines characterizing Real Agency in terms of Human Volition and Self-Determination that is the keystone of all Autonomy R&D and related Practices foundational to Autonomy, Self-Control, and Self-Regulation of Artificial Intelligence and Human Machine Systems and Human Machine Networks in diverse Self-Adaptive Complex Systems of Knowledge Management.

Dr. Yogesh Malhotra has served as invited Digital pioneer leading Silicon Valley Venture Capitalists and CEOs since 1990s as the global Digital Pioneer-Founder of World's first, foremost, and largest global Digital Transformation and Knowledge Management Networks. These ventures include Computerworld-ranked Top Digital Site, Search Engine and Social Network with millions of worldwide users, more than 130,000 opt-in Network Members and a team of more than 200 worldwide global Ph.D. Digital industry experts from academia and industry he led to build globally influential R&D as pioneer of global Digital Transformation and Knowledge Management practices. As a Digital Transformation and Knowledge Management Networks pioneer, Dr. Malhotra also founded, authored, and published the World Wide Web Virtual Library on Knowledge Management, a constituent of the World Wide Web Virtual Library founded by Tim Berners Lee, the founder of the World Wide Web and HTML.

While holding the invited Top-10 PhD Fellowship with the Founder of Information Systems and Information Technology Strategy disciplines and his co-author on R&D Papers on Information Technology Strategy and Information Technology Education, Yogesh Malhotra received the first Best Reviewer Award from the Academy of Management Organizational Communication & Information System (OCIS) Division for invited review of Structural Equation Modeling Paper on Information Technology Innovations selected as the Best Conference Paper. As the top PhD-graduate with national Beta Gamma Sigma Honors, he was also nominated as the University of Pittsburgh Doctoral Consortium Fellow for both the Academy of Management Technology & Innovation Management (TIM) Division and Organizational Communication & Information System (OCIS) Division as well as Doctoral Consortium Fellow for the Association for Information Systems. While earning more than twice the needed PhD Credits with greatest concentrations in Structural Equation Modeling and Advanced Statistical & Quantitative Methods such as Statistical Regression Models, Analysis of Variance (ANOVA), and Analysis of Co-Variance (ANCOVA) across the Carnegie Mellon University Graduate School of Administration and the University of Pittsburgh on PhD research fellowship and full-scholarship, he also served as Instructor for the Quantitative Survey Methods lecture at the Carnegie Mellon University Graduate School of Administration.

Having served as a senior faculty scholar-practitioner, mentor and quantitative models and methods guide for worldwide university faculty, research scientists, and faculty scholars, as invited editor and referee for world-leading research journals and conferences, Dr. Yogesh Malhotra's authored and edited Information Technology and Operations Research, Decision Sciences, Management Science Artificial Intelligence-Machine Learning-Knowledge Management Structural Equation Models published in world's top-tier refereed scientific research journals and conferences are adopted and applied by world-leading organizations spanning the diversity of Big Banks to the National Aeronautics and Space Administration (NASA). His R&D published in high-impact books (research monographs), research journals, and conference proceedings is ranked for worldwide impact on managers among Nobel laureates and adopted and applied across worldwide Governments, Corporations, and Management & Leadership Education Institutions of Higher Learning.

Dr. Yogesh Malhotra continues to serve as invited editor and referee on Digital, Artificial Intelligence-Machine Learning, Quantum Computing, Networks Security, Cryptography and Controls Algorithms, Data, and Models, Uncertainty and Risk Modeling & Risk Management, and Quantitative Methods & Models for 30-years for more than 50 top-tier world-leading scientific research publishers such as Association for Computing Machinery (ACM), IEEE (Institute of Electrical and Electronics Engineers), Harvard Business Publishing, Cambridge University Press and scientific research journals such as Journal of Supercomputing (Springer Nature Group), Risk Management Journal (Springer Nature Group), Journal of Experimental & Theoretical Artificial Intelligence, Journal of Operational Risk, North American Actuarial Journal (Society of Actuaries), Journal of Defense Modeling and Simulation (Society for Modeling & Simulation International), International Journal of Financial Studies, Communications of the ACM, Decision Sciences, IBM Systems Journal, IEEE Transactions on Engineering Management, Information Resources Management Journal, International Journal of Human-Computer Studies, International Journal of Information Management, Journal of the American Society for Information Science and Technology, Journal of Association for Information Systems, Journal of Developmental Entrepreneurship, Journal of Information Technology and Management, Journal of Management, Journal of Management Information Systems, Journal of Organizational Computing and Electronic Commerce, Journal of Strategic Information Systems, MIS Quarterly, etc.

Dr. Yogesh Malhotra's interviews and worldwide reviews of our Digital ventures as global industry benchmarks are the subject of worldwide editorial reviews in most premiere business and technology press, including Business Week ("e-Business: What every CEO should know." "Best business information source."), Fast Company ("If Brint doesn't have it, then you probably don't need it." "Best source for knowledge management."), The New York Times ("Invaluable for applying complexity theory."), The Wall Street Journal ("Complexity theory made easy." "Contemporary business management and technology issues." "Largest collection of knowledge management." "One of the best HR sites on the Internet."), CIO Magazine ("Wealth of incredibly rich, useful and interesting information."), CIO Insight ("The very essence of what various IT systems can do in the context of KM begins and ends with people and processes."), Chief Executive ("A practical guidepost..."), Fortune ("Yogesh Malhotra says his vision is to fill the gaps between business and technology, data and knowledge, and, theory and practice..." "Thumbs up for this serious surfer's tool useful for managers."), Inc. ("Obsolete what you know before others obsolete it and profit by creating the challenges and opportunities others haven't even thought about..."), Forbes ("Tool for raising your company's IQ."), Computerworld ("Best site for IT and business information."), Information Week ("Unparalleled in depth and relevance for business research."), InfoWorld ("Best web site for hi-tech industry developments." "Best web site on the topic of knowledge management."), San Jose Mercury News ("First for in-depth company & industry research."), American Institute of Certified Public Accountants (AICPA) ("A Pretty Powerful Portal. Smart Stop on the Web."), Institute for Supply Management ("The synergy of 'smart minds' and 'smart technologies' provides a basis for defining agile and adaptable supply chain networks."), Business Standard ("Smart minds hold the key to the success or failure of business systems based upon even the smartest technologies."), 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.") etc., etc.

Prior to invited PhD Research Fellowship with the Founder of Information Systems and Information Technology Strategy University Professor and Advanced Econometrics-Statistics-Optimization MBA Research Fellowship with the U.S. B2B Pioneer and Founder-CTO of World's First Billion-Dollar Global B2B Computing Company and his co-author on R&D Papers on Hyper-Media Computing, the precursor of the World Wide Web, Yogesh Malhotra led Global Big-3 Finance and IT Global Financial Systems Software Engineering Teams and Projects spanning the U.S.A., [British] Hong Kong, and India. As a Management Consultant with a world-leading Global Software Development Company, he led Software Engineering Teams and Projects for the worldwide Big-3 Global Banking & Finance and Global Information Technology Corporation CIOs, building world-leading Big-3 IT Global Financial Systems deployed across Largest Banks and Financial Institutions in the U.S.A. and worldwide. His related roles included Site-wide Systems Programming Integration Leadership such as for the Bank of America merger in Las Vegas; Forex Currency Arbitrage Algorithms Strategist Programming Leadership for the Treasury Management Systems of the [British] Hong Kong Government at the Global French Bank Banque Indo-Suez in Hong Kong, now part of Crédit Agricole Corporate and Investment Bank; and Tata Group's Mumbai and New Delhi Software Development Export Zone's Global Software Development Teams Leadership in India.

Yogesh Malhotra would advise the world's Top-3 Global IT Corporation leadership to advance beyond 'Big Iron' Mainframe focus to Global Software leadership in Open-Source Unix and C Software Programming, a decade before the world's largest IT companies such as IBM would actively adopt Linux. Later, in course of PhD Fellowship, as founder of Computerworld-ranked World-Leading Top Digital Site, Search Engine, and Social Network, Ogilvy would pitch IBM as a client to Dr. Yogesh Malhotra's first, foremost, and largest Global Digital Transformation Network BRINT.com to leverage our worldwide leadership and global footprint as global pioneers of Knowledge Management. Ogilvy would deploy the DoubleClick Advertising Search Engine to service IBM's campaign on our Digital Ventures, the same DoubleClick Advertising Search Engine subsequently acquired by Google, which would approach our Digital ventures prior to its IPO in order to build a global Digital Footprint.

Prior to leading the Global Big-3 Finance and Big-3 IT CIO Global Financial Systems Software Engineering teams, as the youngest Executive Engineer, Projects Leader, and Teams Leader in Production, Production Engineering, and Data Processing (MIS) in Accounting and Finance, Yogesh Malhotra was the youngest Japan-India Automotive Process Engineering Tech Transfer Leader with the Global Japanese automotive conglomerate and India's largest car manufacturer leading India's Quality Revolution. While there, he would receive the Japanese CEO-Director's Award for achieving top-ranks in their corporate Japanese Language Program for Managers and Engineers as well as multiple Quality Control awards as the most prolific Agile-Kaizen Quality Control innovations leader. Also, while there, in his early 20's, Yogesh Malhotra studied The Fifth Generation: Artificial Intelligence & Japan's Computer Challenge to the World by Edward A. Feigenbaum, the Stanford University Professor who would be later the top US Air Force Scientist in the role of the USAF Chief Scientist Pentagon. Years later, Yogesh Malhotra would be invited to interview for the same US Air Force Top Science Role of the USAF Chief Scientist Pentagon!

Dr. Yogesh Malhotra's biographical profile is selected and featured among the world's greatest leaders and achievers of all times in the world's first, foremost and most premier biographical reference Marquis Who's Who® Who's Who in America®, Who's Who in the World®, Who's Who in Finance & Industry®, and, Who's Who in Science & Engineering® since 1990s. Having known about Marquis Who's Who® while in elementary school, he first saw the Marquis Who's Who® volumes as a Management Consultant to the Global Big-3 Information Technology CEO-CIO offices while in his mid-20's. In recent decades, after being selected several times for the Marquis Who's Who Lifetime Achievement Award, he has declined to be included in those volumes given his principle of NEVER paying for ANY Recognition or Award and his belief that "It’s the Journey… Not the Award!"


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
Amazon Author Page Amazon Author Page Journal of Financial Transformation Paper RISK.net Journal of Operational Risk Paper ORCID: Open Researcher and Contributor ID SSRN Google Scholar YouTube
AWS Amazon Web Services MIT Computer Science & AI Lab  Princeton University  Goldman Sachs JP Morgan Asset Management

Princeton University Wall Street Quants Quant Finance & Trading Leader: AI-ML-Quant-Cyber-Crypto-Quantum FinTech Computing Presentations
2016 Princeton Quant Trading Conference  
MIT AI-ML Faculty-SME: MIT AI-Machine Learning-Deep Learning-Natural Language Processing-Robotic Process Automation Executive Guide
  MITSloan&CSAILAIMachineLearningExecutiveGuide

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

AWS-Partner: Network Centric Computing Pioneer: Well Architected Frameworks: MIT-Princeton Post-Doc AI-ML-Cyber-Crypto-Quantum-Risk Computing Faculty-SME: Post-Doc R&D Leading Worldwide Digital AI-Quantum Practices for 30-Years: Chartered Engineer, Certified Information Systems Security Professional, Certified Information Systems Auditor, Certified Ethical Hacker, Certified Computing Professional, Certified Data Professional

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 Engineering-Mgmt.: 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

Digital CEO-Quant Finance-AI-ML-Data Science-Network Security Practices Global Impact:
Dr. Yogesh Malhotra's Global Worldwide Industry Interviews, Keynotes, Editorial Reviews

Fortune Magazine
“Yogesh Malhotra says his vision is to fill the gaps between business and technology, data and knowledge, and, theory and practice...”

- Fortune Magazine Interview:
Dr. Yogesh Malhotra

Inc. Magazine

“Obsolete what you know before others obsolete it and profit by creating the challenges and opportunities others haven't even thought about...”
- Inc. Magazine Interview: Dr. Yogesh Malhotra

CIO Magazine

“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.”
- CIO Magazine Interview
: Dr. Yogesh Malhotra

CIO Insight

“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.”
- CIO Insight Interview
: Dr. Yogesh Malhotra

The Wall Street Journal

“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.”
- The Wall Street Journal Interview
: Dr. Yogesh Malhotra

Institute For Supply Management

“The synergy of 'smart minds' and 'smart technologies' provides a basis for defining agile and adaptable supply chain networks that can withstand the challenges of a radically changing business environment.”
- Institute for Supply Management Interview
: Dr. Yogesh Malhotra

Business Standard

“Future strategic advantage and competitive performance will not derive from simply adoption and use of new information and communication technologies. Rather, they will be determined by smart minds using smart technologies, with greater emphasis being on smart minds.”
- Business Standard Interview
: Dr. Yogesh Malhotra


EXECUTIVE PROFILE

Dr.-Eng.-Prof. Yogesh Malhotra 'Yogi'

New York: "Join Dr. Yogi Malhotra to get up to speed on Cloud Technology."

Silicon Valley-Wall Street-Pentagon-Global Digital Transformation Pioneer
MIT-Princeton Faculty-SME AI-Quant-Cyber-Crypto-Quantum-Risk Computing:
"We create the Digital Future™. You Can Too! Let's Show You How! "

AWS Accredited-Certified Partner: New York State Cloud Ventures CEO:
Post AI-Quantum Cloud Engineering Beyond Pentagon Joint Chiefs Guidance:
Cloud Computing Boards-CEOs-CFOs-CTOs-CIOs-CxOs Guide
Released at the 2022 New York State Cybersecurity Conference

AI-Machine Learning-Data Management Governance & Controls Cloud Computing Best Practices: CNY Quantum Valley Pentagon-USAF-USSF Ventures Spanning Air-Space-Cyberspace-Outer Space, 2023 New York State Cybersecurity Conference, 25th Anniversary Cybersecurity Conference, New York State Capitol, Albany, New York, June 6-7, 2023

Global Risk Management Network, LLC, New York, USA

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.

Founder, Chairman & CEO: Global Digital CEO-CxO Network Ventures:

Dr. Yogesh Malhotra (‘Yogi’) is the Chairman & CEO of the Silicon Valley-Wall Street-Pentagon-Global Digital CEO Practices Pioneer New York Venture Capital & Private Equity Firm Global Risk Management Network LLC. The firm covers MIT-Princeton Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), cyber, crypto, Quantum and Risk Computing Faculty-SME with AI-Quant-FinTech Postdoctoral research and development impact ranked among Nobel Laureates, such as Herbert Simon and Black-Scholes. The firm leads AI-ML-Cyber-Crypto-Quantum-FinTech-Risk-Cloud-Computing practices as an Amazon AWS Cloud Computing Network Partner. Our USAF-AFRL Digital AI-ML-Quant-Cyber-Crypto-Quantum-Risk-Computing CEO Networks guiding Pentagon Joint Chiefs-USAF & USSF Chiefs advance upon our world’s first, foremost and largest global Digital Transformation Networks, with millions of worldwide organizations such as Accenture, Goldman Sachs, Google, IBM, Microsoft, and PwC as early adopters. 

Our direct client roster includes Silicon Valley venture capitalists and CEOs; trillion-dollar Wall Street hedge funds; “Big-4” IT partners, such as Accenture; Silicon Valley strategy and consulting Partners, such as McKinsey; global telecom, semiconductor, and health technology firms, such as British Telecom (UK), Intel Corporation, and Philips (Netherlands); big-tech firms such as Google, IBM and Microsoft; Wall Street investment banks, such as JP Morgan; digital marketing firms, such as Ogilvy; world-leading management and leadership institutions and programs, such as Harvard MBA, Harvard University, MIT, Princeton University, and United Nations HQ; U.S. and world governments, parliaments, cabinets and nations, such as Switzerland, Netherlands, South Korea, and, Mexico. 

Our digital transformation practices are adopted and recommended by global business, IT, defense and space industry leaders, such as Microsoft founder Bill Gates; the PwC Vice-Chairman & CKO; the DoD Undersecretary; and CIOs of the U.S. Air Force, Army, and Navy, as well as top commanders and leaders of Allied Forces among other world leaders.   

Our interviews and worldwide reviews of our tech ventures as global industry benchmarks, including the World’s Top-ranked Digital Site, Search Engine, and Social Network, appear in most premiere business and technology press, including Business Week; Fortune; Fast Company, Inc.; The Wall Street Journal; The New York Times; Chief Executive; Computerworld; Information Week; and CIO Magazine. 

‘Yogi’ is profiled in Marquis 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.

MIT Computer Science & Artificial Intelligence Lab Faculty-SME

Princeton Operations Research-Financial Engineering-Wall Street Quant SME

New York State AI-ML-DL-Cyber-Crypto-Quantum-Risk Computing Leader

Amazon AWS Partner: Most Highly Trained AWS Cloud Computing Partner

Amazon AWS: Certified Solutions Architect Leading New York State Practices

 

Request a Call: https://clarity.fm/yogeshmalhotra.

https://www.linkedin.com/pulse/designing-smart-minds-using-tools-utopian-view-ai-yogesh-/

“In the exponentially growing realms of the 'invisible' risks, those used to the pre-WWW era of 'visible' risks will be increasingly challenged to 'see' with their minds what they shall not be able to see with their eyes.”
- Future of Risk Pioneered 30-Years Ago: Now ISO Standard
: Dr. Yogesh Malhotra,
Founder, AIMLExchange™, BRINT FutureOfFinance™, C4I-Cyber™.
Worldwide Impact on Global Digital Transformation Practices.



https://www.linkedin.com/in/yogeshmalhotra/

“Since Google introduced transformer architecture in 2017, transformers have provided exponential improvements in context-focused realization toward meaning-aware AI as deep (neural network) learning models based upon attention mechanisms such as dot-product attention and multi-head attention.”
- Human-Centered AI Pioneer Building Quantum Minds for Quantum Uncertainty
: Dr. Yogesh Malhotra,
Founder, AIMLExchange™, BRINT FutureOfFinance™, C4I-Cyber™.
Worldwide Impact on Global Digital Transformation Practices.







Following (a) Digital Transformation of Big-3 Finance and Big-3 IT firms supplying Global Financial Systems for worldwide Banking & Finance industry, (b) launch of global Digital Transformation ventures leading worldwide Digital and Knowledge Management practices, (c) worldwide impact of Artificial Intelligence (AI), Knowledge Management (KM), and, Quantum Uncertainty (QU) research recognized for real world impact among Quant Finance-FinTech and IT-AI Nobel Laureates such as Black-Scholes and Herbert Simon, (d) Computational Quant Risk Analytics leadership of top Wall Street investment banks and hedge funds with $1 Trillion AUM such as JP Morgan, and, (e) Princeton Quant Trading & Finance and FinTech-Crypto Presentations on AI, Machine Learning, Deep Learning, Cyber, Crypto, and Quantum Risk Computing at Conferences sponsored by Princeton University, Goldman Sachs and Citadel, (f) MIT AI faculty SME and industry expert leadership of global Management & Leadership executives advancing on pioneering Meaning-Driven and Human-Centered AI and Quantum Computing R&D inspired by the Genetic Algorithms pioneer, Dr. John Holland, while he was at Santa Fe Institute in mid-1990s, Dr. Yogesh Malhotra's top-ranked AI-ML-DL-Quant-Cyber-Crypto-Quantum-Risk-Computing advanced post-doctoral R&D further advances beyond (g) NIST's Cybersecurity Risk Engineering, Risk Management, and, Risk Modeling practices of Zero Trust Architectures and Networks Segmentation given growing awareness of Risk Concentrations in the Global Electromagnetic Spectrum Networks and Global Networking and Encryption Protocols.
Global High Impact Hi-Tech Digital Practices Leadership spans Silicon Valley to Seoul and all continents in between.

AACSB

AACSB logo

Human-Centered AI and Quantum Uncertainty Research Impact among Finance & IT Nobel Laureates in AACSB and Scientific Impact Studies.
  
Wall Street Journal
  
Risk Management Tech Ventures leading Computational Quantitative Analytics, Machine Learning, Data Science, Quantitative Finance, & Cybersecurity Practices.
Worldwide Business and IT Editorial Coverage & Interviews as global industrial benchmark in Wall Street Journal, New York Times, Fortune, Fast Company, Forbes, Business Week, CIO, CIO Insight, Computerworld, Information Week, etc.
DIGITAL TRANSFORMATION PIONEER LEADING GLOBAL FIRMS & GOVERNMENTS
Google  IBM  Intel  Microsoft  OgilvyOne
 Cisco  SAP  Verisign  European Commission  Government_of_UK

ANTICIPATORY & PREDICTIVE COMPUTATIONAL QUANT ANALYTICS LEADING CFOs & CROs

Goldman Sachs  JP Morgan Asset Management  Princeton University  Wall Street Hedge Fund
MarkovChainMonteCarloBitcoinProtocolBlockchainCryptographicProofOfWork  Princeton Quant Trading Conference 2016  Number Field Sieves Algorithmic Cryptanalysis

*2016 & 2015 Princeton Quant Trading Conference: Sponsors: Goldman Sachs, Citadel, SIG, KCG Holdings.
Princeton University

PRINCETON QUANT TRADING PRESENTATIONS PIONEERING 
QUANTUM-ERA ALGORITHMIC FINANCE & TRADING

Goldman Sachs  JP Morgan Asset Management  Princeton University  Wall Street Hedge Fund
MarkovChainMonteCarloBitcoinProtocolBlockchainCryptographicProofOfWork  Princeton Quant Trading Conference 2016  Number Field Sieves Algorithmic Cryptanalysis


LEADING GLOBAL CYBERSECURITY RISK ENGINEERING PRACTICES

National Association of Insurance Commissioners (NAIC) National Expert Panel: Computational Quant Finance-Cybersecurity-Risk-Insurance-Catastrophe Modeling    New York State Cybersecurity Conference 2016   NYSETA New York State Cyber Security and Engineering Technology Association Presentation   NationalScienceFoundationNSF  US Under Secretary of Defense     
 United States Army United States Navy  United States Air Force  Royal Australian Air Force (RAAF) AIRCDRE  Government of UK, Ministry of Defence  Canadian Department of National Defence, Canada, Defence R&D Canada

Portfolio of Worldwide Clients, Patrons & Subscribers of Research & Practices

FinTech: Wall Street & IT: Goldman Sachs, Google, HP, IBM, Intel, Microsoft, Ogilvy, Wells Fargo
Consulting Firms
: Accenture, Ernst & Young, McKinsey, PricewaterhouseCoopers
Business Schools: Harvard, MIT, Princeton, Stanford, UC Berkeley, Wharton
Associations
: AACSB, ABA, ACM, AICPA, AOM, APICS, ASTD, ISACA, IEEE, INFORMS
World Governments: Australia, Canada, European Union, United Kingdom, United States
U.S. Defense
: AFRL, Air Force, Army, CCRP, Comptroller, DISA, DoD, Marines, NASA, Navy
World Defense: Australia (Air Force), Canada (Defence R&D), UK (Ministry of Defence)
World Health: World Health Organization (WHO), U.S. Department of Health & Human Services,
European Health Management Association, U.K. Department of Health, UNESCO, UNDP
Larger Sample

British Telecom UK Cisco Systems IBM Intel Corp. Microsoft

U.S. DoD DISA US Air Force Royal Australian Air Force Government of UK, Ministry of Defence Canadian Department of National Defence

Harvard Business School Stanford Graduate School of Business Wharton School Princeton University UC Berkeley Haas School of Business

MIT Sloan School of Management MIT PressHarvard UniversityStanford School of Medicine

Stanford UniversityMIT 50 K Entrepreneurship CompetitionMIT LibrariesYale Law Journal NASA

Fortune Inc. Business WeekNew York TimesWall Street Journal

Forbes Fast CompanyHarvard Business Press Publishing Computer World Information Week InfoWorld CIO Magazine

ForbesBusiness Week San Jose Mercury NewsInfoWorld American Institute of Certified Public Accountants (AICPA) AACSB International

ACM IEEE AACSB International American Society for Training and Development American Bar Association

And Elsewhere...


*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.
*Cyber-Finance Risk Management: Strategies, Tactics, Operations, Intelligence: ERM to MRM.
*Number Field Sieve Cryptanalytic Algorithms for Efficient Prime Factorization on Composites.
*Bitcoin & Statistical Probabilistic Quant Methods: Financial Regulation: Hong Kong CPAs.
*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
AFRL Commercialization Academy: Building the Future of AGI: Griffiss Cyberspace & Drone™.
MIT Computer Science & AI Lab AI-Machine Learning Executive Guide: AI, ML, DL, NLP, RPA.
Princeton: Future of Finance: 'Rethinking Finance' for Era of Global Networked Digital Finance.

Journal of Financial Transformation:Capital Markets: AI Augmentation Cyber Risk Management.
New York State Cyber Security Conference: AI-ML-GANs-DeepFakes: Cyber Risk of Deep Fakes.
CFA Society Keynote: JP Morgan-Goldman Sachs Practices: Model Risk Management with AutoML.
AFCEA C4I Cyber Conference: AI-ML-Cybersecurity Risk & Uncertainty Management Controls.
MIT Sloan-Computer Sc. & AI Lab AI-ML Executive Guide including RPA & Cognitive Automation
Princeton FinTech Quant Conference: Research Presentation: AI-ML-Deep Learning MRM.
Journal of Operational Risk: 'Cyber-Finance’ Cyber Risk Management Frameworks of Practice.
National Association of Insurance Commissioners: Expert Paper: Cyber Risk Insurance Modeling
Princeton Quant Trading Presentation: Beyond Model Risk Management to Model Risk Arbitrage.
Princeton Quant Trading Presentation: Future of Finance Beyond 'Flash Boys': Uncertainty.
Quantitative Finance Risk Analytics Modeling Wall Street Investment Banks & VC Projects
Model Risk Management: Risk Management Analytics from 'Prediction' to 'Anticipation of Risk'
Quantitative Finance Risk Analytics, Econometric Analytics, Numerical Programming Models
Quantitative Finance Model Risk Management for Systemic-Tail Risks in Cyber Risk Insurance
JP Morgan Portfolio Optimization, VaR & Stress Testing: 17-Asset Class Portfolio
JP Morgan Portfolio Liquidity Risk Modeling Framework for $500-600Bn Portfolio
Bayesian VaR Beyond Value-At-Risk (VaR) Model Risks Exposed by Global Financial Crisis
Goldman Sachs Alumnus Asset Manager Large-Scale Data High Freq Econometric Models
Quantitative Finance, Risk Modeling, Econometric Modeling, Numerical Programming
Technologies of Computational Quantitative Finance & Risk Analytics and Risk Management
Algorithms & Computational Finance: C++, SAS, Java, Machine Learning, Signal Processing
Cybersecurity, Financial Protocols & Networks Protocols Analysis, and, Penetration Testing
Impact: Quantitative Finance, Quantitative Risk Analytics & Risk Management Projects
Digital Social Enterprise Ventures Creating Trillion $ Practices for Hundreds of Millions

Named among FinTech Finance & IT Nobel laureates for Real World Impact of Research
FinTech Innovations: Model Risk Arbitrage, Open Systems Finance, Cyber Finance, Cyber Insurance
AACSB International Reports Impact of Research among Black-Scholes, Markowitz, Sharpe
Research Impact Recognized among Finance & Information Technology Nobel laureates
120+ SSRN Top-10 Rankings: AI-Machine Learning; Cybersecurity; Computer Science, Quant Trading
FinTech Innovations: Model Risk Arbitrage, Cyber Finance, Cyber Risk Insurance Modeling
Computational Quantitative Finance Modeling & Risk Management Research Publications
Model Risk Management of Cyber Risk Insurance Models & Quantitative Finance Analytics
Thesis on Ongoing Convergence of Financial Risk Management & Cyber Risk Management
U.S. Federal Reserve & Office of the Comptroller of the Currency Model Risk Guidance
Bayesian VaR Beyond Value-At-Risk (VaR) Model Risks Exposed by Global Financial Crisis
Markov Chain Monte Carlo Models & Algorithms to Enable Bayesian Inference Modeling
OCC Notes Cybersecurity Risk & Cyber Attacks as Key Contributor to Banks' Financial Risk
Future of Bitcoin & Statistical Probabilistic Quantitative Methods: Global Financial Regulation
Models Validation Expert Panels: IT, Operations Research, Economics, Computer Science

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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