Editorial Reviews in All Known Top Business-IT Institutions & Publications |
Global Thought Leadership spanning Silicon Valley to Seoul and all the continents in between with global impact across most nations of the world. |
FinTech Research Impact recognized among IT and Finance-Economics Nobel laureates in business press, industry surveys & scientific impact studies. |
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Risk Management Tech Ventures leading Computational Quantitative Analytics,
Machine Learning, Data Science,
Quantitative Finance, & Cybersecurity Practices. |
Worldwide Business and IT Editorial Coverage & Interviews in Wall Street Journal, New York Times, Fortune, Fast Company, Forbes, Business Week, CIO, CIO Insight, Computerworld, Information Week, etc. |
Sample of worldwide clients, patrons & subscribers:
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
As Seen in
 
  
 

 
And Elsewhere...
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Pioneering Digital, Computational, Quant & Cyber Finance-IT-Risk Management ICT Digital Transformation

Princeton University Invited FinTech Research Presentations on Model Risk Management
Pioneering 'Open Systems Finance', 'Model Risk Arbitrage', and, 'Cyber Finance'
2016 & 2015 Princeton Quant Trading Conference: Sponsors: Goldman Sachs, Citadel, SIG, KCG Holdings.
2015-2017: 41 SSRN Top-10 Research Rankings: Top-10% SSRN Authors:
Computational Quant Analytics; AI & Decision Modeling; Algorithms & Machine Learning
2015-2017: 41 SSRN Top-10 Research Rankings: Top-10% SSRN Authors:
Computational Quant Analytics; AI & Decision Modeling; Algorithms & Machine Learning .
SSRN Top-10 Research Ranking Categories:
• Capital Markets,
• Cognition in Mathematics, Science, & Technology,
• Computational Biology,
• Computational Techniques,
• Computing Technologies,
• Corporate Governance: Disclosure, Internal Control, & Risk-Management,
• Cyberlaw,
• Decision-Making under Risk & Uncertainty,
• Econometric & Statistical Methods,
• Econometric Modeling,
• Econometrics,
• Hedging & Derivatives,
• Information Systems & Economics,
• Interorganizational Networks & Organizational Behavior,
• Mathematical Methods & Programming,
• Microeconomics,
• Operations Research,
• Risk Management,
• Risk Management Controls,
• Risk Modeling,
• Social Network Analysis,
• Stochastic Models,
• Systemic Risk,
• Telecommunications & Network Models,
• Uncertainty & Risk Modeling,
• VaR Value-at-Risk.
Other Categories:
• Banking & Insurance
• Cultural Anthropology,
• Economics of Networks,
• Innovation Law & Policy,
• Mutual Funds, Hedge Funds, & Investment Industry,
• Sociology of Innovation
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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.
2015-2017: 41 SSRN Top-10 Research Rankings: Top-10% 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
2015-2018: 46 SSRN Top-10 Research Rankings: Top-3% SSRN Authors:
AI, Algorithms & Machine Learning; Anticipatory & Predictive Analytics:
Computer Science, Cybersecurity, Insurance, Quantitative Finance & Trading
SSRN Top-10 Research Ranking Categories:
• Accounting Technology & Information Systems,
• Accounting, Corporate Governance, Law & Institutions,
• Banking & Insurance,
• Capital Markets,
• Cognition in Mathematics Science & Technology,
• Computational Biology,
• Computational Techniques,
• Computing Technologies,
• Conflict Studies,
• Corporate Governance Practice Series,
• Corporate Governance: Disclosure Internal Control & Risk-Management,
• Cultural Anthropology,
• PSN: 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,
• 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,
• Legal Perspectives in Information Systems,
• Mathematical Methods & Programming,
• Microeconomics,
• Microeconomics: Decision-Making under Risk & Uncertainty,
• Military & Homeland Security,
• Mutual Funds, Hedge Funds, & Investment Industry,
• Operations Research,
• Political Economy - Development: Public Service Delivery,
• 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.
Recent Research Presentations and Research Reports
Journal of Operational Risk, March 2018: Toward 'Cyber-Finance’ Cyber Risk Management Frameworks of Practice.
National Association of Insurance Commissioners, June 2017, Advancing Cyber Risk Insurance beyond VaR Models.
IUP Journal of Computer Sciences, April 2017, Quantitative Modeling of Trust and Trust Management Protocols.
Stress Testing for Cyber Risks: Cyber Risk Insurance Modeling beyond Value-at-Risk: Risk, Uncertainty, & Profit.
Toward Integrated Enterprise Risk Management, Model Risk Management & Cyber-Finance Risk Management.
Bridging Networks, Systems and Controls Frameworks for Cybersecurity Curricula & Standards Development.
Advancing Cognitive Analytics Using Quantum Computing for Next Generation Encryption.
Invited Princeton Quant Trading Presentations: 'Rethinking Finance' for the Era of Global Networked Digital Finance.
2016 Princeton Quant Trading Presentation: Beyond Model Risk Management to Model Risk Arbitrage for FinTech Era.
2015 Princeton Quant Trading Presentation: Future of Finance Beyond 'Flash Boys': Managing Uncertainty.
Cybersecurity & Cyber-Finance Risk Management: Strategies, Tactics, Operations, &, Intelligence: ERM to MRM.
A Risk Management Framework for Penetration Testing of Global Banking & Finance Networks VoIP Protocols.
CyberFinance: Why Cybersecurity Risk Analytics Must Evolve to Survive 90% of Emerging Cyber Financial Threats.
Beyond 'Bayesian vs. VaR' Dilemma: How to Manage Risk (After Risk Management Has 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 Stochastic Problems in Network Security.
Risk, Uncertainty, & Profit for the Cyber Era: 'Knight Reconsidered': Model Risk Management in Cyber Risk Insurance.
Cyber-Finance Risk Management: Strategies, Tactics, Operations, &, Intelligence: ERM to Model Risk Management.
Number Field Sieve Cryptanalytic Algorithms for Most Efficient Prime Factorization on Composites: Beyond RSA 1024.
Future of Bitcoin & Statistical Probabilistic Quant Methods: Global Financial Regulation: Hong Kong Institute of CPAs.
Bitcoin Protocol & Bitcoin Block Chain: Model of 'Cryptographic Proof' based Global Crypto-Currency Payment Systems.
2015-2016 41 SSRN Top-10 Rankings: Computational Quant & Risk Analytics Algorithms Machine Learning Research.
2008 AACSB International Impact of Research Report: Among Black-Scholes, Markowitz, Sharpe, Modigliani & Miller.
Top Wall Street Investment Banks Quantitative Finance Projects & FinTech Ventures
• Princeton: Future of Finance: 'Rethinking Finance' for Era of Global Networked Digital Finance
• 2017 National Association of Insurance Commissioners: Expert Paper: Cyber Risk Insurance Modeling
• 2016 Princeton Quant Trading Conference: Invited Research Presentation: Model Risk Arbitrage
• 2015 Princeton Quant Trading Conference: Invited Research Presentations: Future of Finance
• 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
• 41 SSRN Top-10 Rankings: Computational Quant Finance: Algorithms, Methods & Models
• 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
Global, National, & Enterprise CxO Level FinTech-Cyber-Risk Analytics Ventures
• CxO Think Tank that pioneered 'Digital' Management of Risk, Uncertainty, & Complexity
• CxO Consulting: Global, National & Corporate Risk Management Practices Leadership
• CxO Guidance: Cyber Defense & Finance-IT-Risk Management: Uncertainty & Risk
• CxO Keynotes: Conference Board, Silicon Valley, UN, World Economy: Uncertainty & Risk
• The Future of Finance Project Leading Quantitative Finance Practices at Elite Conferences
• The Griffiss Cyberspace Cybersecurity Venture Spans Wall Street and Hi-Tech Research
• UN Quantitative Economics Expert Paper & Keynote on Global Economists Expert Panel
• National Science Foundation Cybersecurity & Cybercomputing National Expert Panels
• Digital Social Enterprise Innovation Ventures Pioneering the Future of Risk and Quant
• Global Footprint of Worldwide World-Leading CxO Risk Management Ventures & Practices |
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