AACSB: Research Impact among Nobel Laureates such as Black-Scholes
MIT Industry Expert: AI, Machine Learning & Deep Learning
MIT Sloan School of Management-MIT Computer Science & Artificial Intelligence Lab
Princeton Quant Trading Presentations: AI, Algorithms & Machine Learning
Conference Sponsors: Princeton University, Goldman Sachs, Citadel, SIG, KCG Holdings
Wall Street Investment Banks & Hedge Funds with $1 Trillion AUM
Quant Risk Analytics & Software Leader: JP Morgan, Goldman Sachs Alumnus Firm
Big-3 Finance & Big-3 IT Global Financial Systems Software Projects Leader
Big-3 Banking & Finance: Bank of America, Big-3 IT: USA, Hong Kong, India,...
Intel Corporation: Next Generation e-Business Enterprise Architectures Expert
Digital Transformation Ventures Transforming Global Firms & Governments
Clients & Patrons: BT (UK), Goldman Sachs, Google, IBM, Intel, Microsoft, MIT, Harvard,...
Computerworld's Top Digital Site, Top-3 Search Engine, Top-10 Social Network,...
New York State IT Administration & Network Administration CISO-Leader
Leading Defense-in-Depth Zero Trust Architectures & Network Segmentation Practices
New York State Computer Scientist & Cybersecurity Practices Leader
National Science Foundation: National Cybersecurity-Computer Science Expert Panels
National Association of Insurance Commissioners Cybersecurity Risk Insurance Expert
UPMC Health System, Pittsburgh, PA: Digital Transformation: EMR-Risk Management-Controls
United Nations World HQ: Global Economists Expert Panels Quant: Knowledge Assets
Government of Switzerland Banking Transformation: Math-Fintech Algorithms Expert
United States Federal Government, Council Partner, Business Process Transformation Expert
Government of Mexico: e-Government Expert: Cabinet Ministers, 13 CIOs, 600 IT Leaders
Government of Netherlands: National Digital Transformation & Infrastructure Expert
Nation of South Korea: Vision Korea Campaign: National Digital Transformation Expert
Ziff Davis Global Internet Infrastructure GII: US National E-Commerce Standard Expert
US National Information Infrastructure NII: Applied R&D Pioneering UN & Global Policies
SSRN: AI-Algorithms-Machine Learning: 63 Top-10 Research Rankings
Post-Doctoral R&D Pioneering AI-Algorithms-Machine Learning Industry Practices
Chartered Engineer, Computer Scientist, Information Scientist, Quant Methods Scientist
Professor of Computer Science, IT, Operations Research, Quantitative Methods, Security+
Executive Education Faculty: Carnegie Mellon University, Kellogg School of Management
Post Doc R&D: AI-Algorithms-Machine Learning, Top-10 MIS PhD IT-Statistics Double Credits
5 Masters: Computer Science, Network Security, Quant Finance, Quant Economics, Accountancy
Professional Certifications: Computing, Cybersecurity, Data, Engineering, Risk Management, Systems.
Biography profiled in worldwide achievers and leaders:
Marquis
Who's Who in America®, Marquis
Who's Who in the World®,
Marquis
Who's Who in Finance & Industry®, Marquis
Who's Who in Science & Engineering®
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,...

 
  
 

 
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MIT Sloan-CSAIL AI, Machine Learning & Deep Learning Industry Expert;
Princeton AI, Machine Learning & Deep Learning Invited Research Presentations;
Computational Finance; CyberSecurity Risk Engineering:
Computational, Quant, Cyber, Crypto, Quantum
Finance-IT-Risk Engineering & ICT Digital Transformation |
2017-2018: MIT AI-Machine Learning Executive Guide including RPA & Cognitive Automation
2015-2018: Princeton Quant & FinTech Presentations: AI, Machine Learning & Deep Learning
Sponsors: Princeton University, Goldman Sachs, Citadel, SIG, KCG.
2015-2018: 63 SSRN Top-10 Research Rankings: Top-3% SSRN Authors:
AI & Machine Learning; Computational Finance; CyberSecurity Engineering.
RESEARCH & PUBLICATIONS - Download Full-Text Articles
Artificial Intelligence, Machine Learning & Deep Learning;
Data Science, Knowledge Management, Cognitive Computing;
CyberSecurity Risk Engineering; Quantum Cryptography:
Frameworks, Models, Methods & Metrics in Applied Research
MIT Sloan-CSAIL Princeton Goldman Sachs RISK.Net KM e-Digital
MRM SSRN GoogleScholar LinkedIn
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Digital Transformation & Knowledge Management Community of Practice |
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"In his latest book, Knowledge Management and Virtual Organisations, KM luminary, Dr. Yogesh Malhotra, offers some cautionary advice. He exposes three myths often associated with KM solutions."
- Microsoft

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"Knowledge Management and Business Model Innovation brings together the latest thinking on issues at the forefront of teaching innovation and professional imagination."
- M. Lynne Markus, Professor and Department Chair of Electronic Business, City University of Hong Kong
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Computerworld's Top Digital Site, Top-3 Search Engine, & Top-10 Social Network
Top-Ranked Digital Research Site: Computerworld Best Web Site Award
Top-3 Search Engine: Carnegie Mellon University Industry.Net National Awards
Top-10 Social Network: Popular Rankings among others such as LinkedIn
Led Global Virtual Community of Practice of 130,000+ to Pioneer Digital Transformation Practices
Millions of worldwide users included Global-2000 Corporations and G-20 World Governments.
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World-Leading Hi-Tech R&D Leading AI, Machine Learning, Cyber, Crypto, Quant FinTech Practices™:
Quant Analytics; Cybersecurity Engineering; Quant Finance-Algorithmic Trading; FinTech-Blockchain

2018 Princeton University Invited FinTech Research Presentations on AI and Machine Learning
& 2018 MIT AI-Machine Learning Executive Guide on NLP, RPA & Cognitive Automation
Pioneering 'Open Systems Finance', 'Model Risk Arbitrage', and, 'Cyber Finance'
2015-2018 Princeton University Conferences: Sponsors: Goldman Sachs, Citadel; 2018 MIT AI-Machine Learning Executive Guide.
2015-2018: 63 SSRN Top-10 Research Rankings: Top-2% SSRN Authors:
Computational Quant Analytics; AI & Decision Modeling; Algorithms & Machine Learning
2015-2018: 63 SSRN Top-10 Research Rankings: Top-2% SSRN Authors:
Computational Quant Analytics; AI & Decision Modeling; Algorithms & Machine Learning .
SSRN Top-10 Research Ranking Categories:
• Accounting Technology & Information Systems,
• Accounting, Corporate Governance, Law & Institutions,
• Artificial Intelligence,
• Banking & Insurance,
• Capital Markets,
• Cognition in Mathematics Science & Technology,
• Community College Education,
• Computational Biology,
• Computational Techniques,
• Computer Science,
• Computing Technologies,
• Conflict Studies,
• Corporate Governance Practice Series,
• Corporate Governance: Disclosure Internal Control & Risk-Management,
• Cultural Anthropology,
• Cyber-Conflict (Inter-State),
• Cyberlaw,
• Decision-Making under Risk & Uncertainty,
• Econometric & Statistical Methods,
• Econometric Modeling,
• Econometric Modeling: Capital Markets - Risk,
• Econometrics,
• Econometrics: Econometric & Statistical Methods,
• Econometrics: Mathematical Methods & Programming,
• Economics of Networks,
• Forensic Accounting,
• Government Expenditures & Education,
• Hedging & Derivatives,
• Information Systems & Economics,
• Information Systems: Behavioral & Social Methods,
• Information Technology & Systems,
• Innovation & Management Science,
• Innovation Finance & Accounting,
• Innovation Law & Policy,
• Inter-State Conflict,
• Interorganizational Networks & Organizational Behavior,
• IO: Productivity, Innovation & Technology,
• IO: Regulation, Antitrust & Privatization,
• Labor: Human Capital,
• Legal Perspectives in Information Systems,
• Machine Learning,
• Mathematical Methods & Programming,
• Microeconomics,
• Microeconomics: Decision-Making under Risk & Uncertainty,
• Military & Homeland Security,
• Mutual Funds, Hedge Funds, & Investment Industry,
• Operations Research,
• Pedagogy,
• Political Economy - Development: Public Service Delivery,
• Postsecondary Education,
• Risk Management,
• Risk Management & Analysis in Financial Institutions,
• Risk Management Controls,
• Risk Modeling,
• Risk, Regulation, & Policy,
• PSN: Security & Safety,
• Social Network Analysis,
• Sociology of Innovation,
• Stochastic Models,
• Sustainable Technology,
• Systemic Risk,
• Telecommunications & Network Models,
• Uncertainty & Risk Modeling,
• VaR Value-at-Risk.
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Top Wall Street Banks' Model Risk Management Beyond VaR for Extreme Risks
FinTech Technical Expert to Top MDs Team for World's Largest Investment Bank
FinTech Markov Chain Monte Carlo Models and Bitcoin Block Chain Encryption Protocols
Bayesian vs. VaR for Hedge Funds Model Risk Management
Beyond "Bayesian vs. VaR" Dilemma to Empirical Model Risk Management: How to Manage Risk (After Risk Management Has Failed) for Hedge Funds
'"It is this "true" uncertainty, and not risk, as has been argued, which forms the basis of a valid theory of profit and accounts for the divergence between actual and theoretical competition... It is a world of change in which we live, and a world of uncertainty...If we are to understand the workings of the economic system we must examine the meaning and significance of uncertainty; and to this end some inquiry into the nature and function of knowledge itself is necessary."
-- Frank H. Knight
in Risk, Uncertainty, and Profit
(Boston, MA: Hart, Schaffner & Marx; Houghton Mifflin Co), 1921.
(Boston, MA: Hart, Schaffner & Marx; Houghton Mifflin Co), 1921. |

'Knight Reconsidered':
Risk, Uncertainty, and, Profit for the Cyber Era: Model Risk Management of Cyber Insurance Models using Quantitative Finance and Advanced Analytics
(Global Risk Management Network, LLC, 2015).
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Toward Integrated Enterprise Risk Management, Model Risk Management, & Cyber-Finance Risk Management: Bridging Networks, Systems, and, Controls
(Global Risk Management Network, LLC, 2015).
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Advancing Beyond 'Predictive' to 'Anticipatory' Risk Analytics: CyberFinance: Why Cybersecurity Risk Analytics must Evolve to Survive 90% of Emerging Cyber Financial Threats, and, What You Can Do About It?
(Global Risk Management Network, LLC, 2016).
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FinTech Enterprise Risk-Model Risk Management meet Penetration Testing-Ethical Hacking

Cybersecurity & Cyber-Finance Risk Management: Strategies, Tactics, Operations, &, Intelligence: Enterprise Risk Management to Model Risk Management: Understanding Vulnerabilities, Threats, & Risk Mitigation
CSO-CxO Plenary Keynote, National Cybersecurity Summit, Altria Group Inc. Headquarters, VA, 2015
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A Framework for Pen Testing Network Protocols for Global Banking & Finance Call Centers: Bridging Networks, Systems, and, Controls Frameworks for Cybersecurity Curricula & Standards Development
(Innovative Design and Development Practices)
New York Cyber Security and Engineering Technology Association (NYSETA) Conference, 2015.
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Griffiss CyberspaceTM Cybersecurity Venture Spans Wall Street & Cyber Research
FinTech Cognitive Analytics and Cryptanalytic Algorithms for Quantum Computing & Quantum Biology
AACSB Recognizes Real Impact among Nobel Laureates such as Black-Scholes
Pioneered Anticipatory Risk Analytics Frameworks Applied by Top Investment Banks
There are many examples illustrating that advances in basic research have had a substantial impact on practice. Exemplars of this phenomenon can be seen in finance through academic publications on the theories of portfolio selection (Markowitz, 1952), irrelevance of capital structure (Modigliani and Miller, 1958), capital asset pricing (Sharpe, 1964), efficient markets (Fama, 1965 and 1970), option pricing (Black and Scholes, 1973), and agency theory (Jensen and Meckling, 1976). All are well-known for their substantial impact on both theory and practice. In information systems, the research of Malhotra (Malhotra, 2004) has helped companies to understand why knowledge management systems fail...
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The new business model of the Information Age, however, is marked by fundamental, not incremental, change. Businesses can't plan long-term; instead, they must shift to a more flexible "anticipation-of-surprise" model.
-- Yogesh Malhotra in CIO Magazine interview, Sep. 15, 1999.
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Leading Global Enterprise Risk Management and Model Risk Management Practices
"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."
20-Years of the Model Risk Management Program |
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The new business model of the Information Age, however, is marked by fundamental, not incremental, change. Businesses can't plan long-term; instead, they must shift to a more flexible "anticipation-of-surprise" model.
-- Yogesh Malhotra in CIO Magazine interview, Sep. 15, 1999.
[A Decade Later... Wall Street CEO, CFOs, & CROs know so... ] |
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Digital Transformation Research & Practices Leading Global Firms & Governments
Pioneering e-Services & Knowledge Management Digital Transformation Practices
Global & National Thought Leader for UN, NSF, US & World Governments & Parliaments
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Digital Transformation Venture Clients, Patrons, & Subscribers
A sample of our corporate and organizational clients, patrons, and users is listed below:
FinTech Firms: Goldman Sachs, Google, HP, IBM, Intel, Microsoft, Ogilvy, Wells Fargo
Consulting Firms: Accenture, Ernst & Young, McKinsey, PricewaterhouseCoopers
World Governments: Australia, Canada, European Union, United Kingdom, United States
U.S. Defense: AFRL, Air Force, Army, CCRP, Comptroller, DISA, DoD, NASA, Navy, RAND
World Defense: Australia (Air Force), Canada (Defence R&D), UK (Ministry of Defence)
Business Schools: Harvard, MIT, Princeton, Stanford, UC Berkeley, Wharton
Associations: AACSB, ABA, ACM, AICPA, AOM, APICS, ASTD, ISACA, IEEE, INFORMS
"Founder Yogesh Malhotra says his vision is to fill the gaps between business and technology, data and knowledge, and, theory and practice..."
- Dr. Yogesh Malhotra in Fortune Interview |
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Digital Transformation Ventures in Global Business & Technology Press

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Digital Transformation Research Interviews in Global Business & Technology Press
Cyber Transformation Practices Guiding US DoD Commanders & CxOs
("Obsolete what you know before others obsolete it..."
- Dr. Yogesh Malhotra in Inc. Interview) |
"If you spend some time at [the digital research lab] founded by Dr. Malhotra youwill 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", US Department of Defense, United States Army. |
"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, in Inc. Technology Interview"
- U.S. Defense Information Systems Agency Interoperability Directorate |
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Top-3 Most Influential Scholars-Practitioners
in Knowledge Management
(Ranked in Drexel University Global Survey of IS Practice)
Dr. Yogesh Malhotra among other 'Vision Korea' National Campaign Keynote Speakers in Vision Korea National Campaign (2000): Dr.Charles Lucier of Booz Allen Hamilton, Dr.David Snowden of IBM, Dr.Robert H. Buckman of Buckman Labs, Dr.Hubert Saint-Onge of Canadian Imperial Bank of Commerce, Professor Dr.Ikujiro Nonaka of Hitotsubashi University
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Pioneering AI & Decision Modeling; Algorithms & Machine Learning;
CyberSecurity Risk Engineering


Journal Articles & Reports 1993-Present
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2015 & 2016: Princeton Quant Trading Conference, Invited Research Presentations
Sponsors: Princeton University, Goldman Sachs, Citadel, SIG, KCG.
AACSB & Scientific Studies Research Impact among Finance & IT Nobel Laureates,
Reviewed & Referenced in Top Business-IT-Finance Institutions & Publications.
2015-2018: 54 SSRN Top-10 Research Rankings: Top-3% SSRN Authors:
Computational Quant Analytics; AI & Decision Modeling; Algorithms & Machine Learning.
RESEARCH & PUBLICATIONS - Download Full-Text Articles
AI & Decision Modeling; Algorithms & Machine Learning;
CyberSecurity Risk Engineering; Quantum Computing:
Frameworks, Models, Methods & Metrics in Applied Research
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Digital Ventures starting with beta of first WWW browser after publishing Independent Study research on Hypermedia Computing technologies, the precursor of WWW, on GRA Fellowship with B2B pioneer and CTO of the first $ Billion B2B Digital Firm.
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Digital Transformation BPR, e-Services, &, Knowledge Management Practices Pioneer
Led Global Virtual Team of 200-PhD Experts & CxOs to Publish Pioneering Research Leading Global Practices

Published:
2000
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"In his latest book, Knowledge Management and Virtual Organisations, KM luminary, Dr. Yogesh Malhotra, offers some cautionary advice. He exposes three myths often associated with KM solutions."
- Microsoft

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Published: 2001 |
"Knowledge Management and Business Model Innovation is an important addition to the IS researcher's bookshelf. It brings together the latest thinking on issues at the forefront of teaching innovation and professional imagination."
- M. Lynne Markus, Professor and Department Chair of Electronic Business, City University of Hong Kong
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Developed Computerworld's Top Digital Research Site, Top-3 Search Engine, & Top-10 Social Network
Top-Ranked Digital Research Site: Computerworld Best Web Site Award
Top-3 Search Engine: Carnegie Mellon University Industry.Net National Awards Sample of Worldwide Editorial Reviews
Top-10 Social Network: Popular Rankings among others such as LinkedIn
Led Global Virtual Community of Practice of 130,000+ to Pioneer Digital Transformation Practices
Millions of worldwide users included Global-2000 Corporations and G-20 World Governments.

Top-3 Search Engines Ranked in the Carnegie Mellon University: National Industry.Net Awards
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The Global RISK Management Network™ Background |
“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 to traditional business education providers or whether newcomers such as BRINT will be ranked between Harvard and Wharton.”
- Association to Advance Collegiate Schools of Business (AACSB)
The Global RISK Management Network, LLC was founded around the emergence of the WWW in 1993-1994 as one of the original digital virtual enterprises named and trademarked as @BRINT (acronym for A Business Researcher's Interests) and thereafter incorporated in 1998 as @Brint.com LLC, before even dot-com was popular, when it was approached by Ogilvy to serve the national digital strategy mission for IBM. Subsequent renaming as the BRINT Institute, LLC was done around the time we took on Google as a key client when approached by them just before their IPO. The mission of the Global Risk Management Network has been served in advancing, developing, and disseminating worldwide Risk Management and Risk Analytics practices for Digital Enterprise Risk Management and Model Risk Management. We have had the privilege of taking as clients world's top firms including the Big-3 Banking & Finance and Big-3 IT firms as well as $100 Billion hi-tech firms such as Intel Corporation, as well as institutions such as Harvard Business School and MIT, among other worldwide clients, patrons, and network members from our very beginning. Our research ventures have been found incorporated in the formal curricula of Harvard Business School MBAs as well as in multiple other programs of Harvard University to name one example among all top-tier Business and Technology institutions worldwide that benefited from them. For instance, starting from the time we developed the world’s top-ranked resource in Business Process Reengineering drawing upon our real world Process Engineering experience, our developed resources were integrated in the education of Harvard MBAs. Microsoft founder Bill Gates wrote about our ventures in his best-selling book Business @ the Speed of Thought: Succeeding in the Digital Economy Web site as well as on his personal home page. Tom Stewart wrote about them as a reference for his best-selling book Intellectual Capital: The New Wealth of Organization. Tom Davenport, while Accenture Partner and Director of Research, wrote about them as one of the benchmark examples in his best-selling book The Attention Economy: Understanding the New Currency of Business. Ellen M. Knapp, Vice-Chairman of PricewaterhouseCoopers wrote about them in Fast Company magazine interview as her most favorite Knowledge Management resource just around the merger between Coopers & Lybrand and Price Waterhouse. Our most recent re-naming was done in the aftermath of a merger and acquisition to focus on the resolution of problems observed by Quantitative Finance experts such as Emanuel Derman, earlier Managing Director and Head of Quantitative Risk Strategies Group at Goldman Sachs, and, Paul Wilmott, who earlier taught at Oxford, with model risk management of financial engineering models made quite apparent by the Global Financial Crisis. Since right after the Global Financial Crisis of 2008, the focus of our overarching theme of anticipating surprise within a global environment of increasing dynamic uncertainty and complexity is on next-generation computational mathematical quantitative models of uncertainty and risk management beyond model risks exposed by the global financial crisis of 2008 and subsequent extreme events and black swans.
(Background - Continued...)

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