Princeton AI-ML-DL-GAN-Quant-Cyber-Crypto-Quantum Computing & Risk Management Presentations:
Beyond Risk Modeling to Uncertainty Management™
AI-ML Risk Management Analytics beyond Prediction to 'Anticipation of Surprise'™
Latest Research: AI & Machine Learning for Risk & Uncertainty Management
AI-Algorithms-Machine Learning: 84 SSRN Top-10 Rankings, Top-1% Authors
Princeton University Presentations Pioneering Model Risk Arbitrage™
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Frank Knight in Risk, Uncertainty & Profit
'"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."
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'Knight Reconsidered':
Risk, Uncertainty, & Profit
for the Cyber Era
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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, CIO Magazine, 1999.
[Decade later, Wall Street CFOs know so.]
Goldman Sachs: How to Anticipate Risk?
25 Years: Model Risk Management Program
"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."
“Yogesh Malhotra says his vision is to fill the gaps between business and technology, data and knowledge, and, theory and practice...” -- in Fortune Interview, June 1998.
"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, 1999"
- U.S. Office of the Under Secretary of Defense (Comptroller) &
Defense Information Systems Agency (DISA).
Princeton University Wall Street Quants Leader: Princeton Quant Finance & Trading FinTech-Crypto Presentations MIT AI-ML Faculty-SME: MIT AI-Machine Learning-Deep Learning-Natural Language Processing-Robotic Process Automation Executive Guide
Download Research: The Model Risk Management Research Program (1993-Current):
Artificial Intelligence, Algorithms, Machine Learning, Deep Learning:
Risk Management Analytics beyond 'Prediction' to 'Anticipation of Surprise'™
Model Risk Management program that anticipated needs of OCC and Wall Street CROs to “anticipate risk” over a decade before they said “we must anticipate risk”: with research advancing execution of Model Risk Management (see, e.g., US Fed & OCC SR11-7 & OCC2011-12) such as 'anticipation of risks' by 'effective challenge of models'.
• 84 SSRN Top-10 Research Rankings: Top-1 % SSRN Authors:
Artificial Intelligence, Algorithms, Machine Learning, Deep Learning:
Recent Research Papers, Expert Papers, Keynotes, and Presentations .
Capital Markets, Computational Techniques, Corporate Governance, Cyberlaw, Decision-Making under Risk & Uncertainty, Econometric & Statistical Methods, Econometric Modeling, Econometrics, Hedging & Derivatives, Information Systems & Economics, Mathematical Methods & Programming, Microeconomics, Operations Research, Risk Management, Risk Management Controls, Risk Modeling, Stochastic Models, Systemic Risk, Uncertainty & Risk Modeling, and, VaR Value-at-Risk.•2017-2018 MIT AI-Machine Learning Executive Guide including RPA:
Crypto-Quantum-FinTech: Machine Learning-Internet of Things:
Cyber-Finance-Trust: Offensive Cybersecurity and Model Risk Arbitrage
2018Princeton FinTech & Quant Conference, 2018, April 21 .
•2018 Princeton Quant Trading Conference: Post-FinTech Model Risk Arbitrage :
Crypto-Quantum-FinTech: Machine Learning-Internet of Things:
Cyber-Finance-Trust: Offensive Cybersecurity and Model Risk Arbitrage
2018Princeton FinTech & Quant Conference, 2018, April 21 .
Sponsored by Princeton University, SIG.
•2016 Princeton Quant Trading Conference: Post-FinTech Model Risk Arbitrage :
Crypto-Quantum-FinTech: Machine Learning-Internet of Things:
Cyber-Finance-Trust: Offensive Cybersecurity and Model Risk Arbitrage
2016 Princeton Quant Trading Conference, 2016, April 16 .
Sponsored by Princeton University, Goldman Sachs, Citadel.•2015 Princeton Quant Trading Conference: Post-HFT Model Risk Management:
Cyber-Quantum-FinTech: Machine Learning, Bayesian Inference, Quantum Crypto
Cyber-Finance-Trust: Defensive Cybersecurity and Model Risk Management
2015 Princeton Quant Trading Conference, 2015, April 04.
Sponsored by Princeton University Bendheim Center & ORFE, Citadel, KCG.
• Model Risk Management and Model Risk Arbitrage for Quantitative Finance & Cyber Risk Insurance:
- Risk, Uncertainty, and, Profit for the Cyber Era: 'Knight Reconsidered' and 'Knight Reconsidered Again'
Post-2008 & Post-Cyber Quantitative Finance Model Risk Management Post Doc Research, 2015-2016.
• ‘Bayesian vs. VaR’ to Model Risk Management for Multi-Asset Portfolios
Advanced Practice beyond MIT Sloan Management Review's Post-Crisis 'MRM Dilemma', 2014 Dec.
• Markov Chain Monte Carlo Models for High-Dimension Stochastics
Advanced Statistical Computing Algorithms for Model Risk Management of Systemic Risks, 2014 May.• Cybersecurity & Cyber-Finance Risk Management: Understanding Vulnerabilities, Threats, & Risk Mitigation
CSO-CxO Plenary Keynote, National Cybersecurity Summit, Virginia, 2015 Sep.• Bridging Networks, Systems, and, Controls Frameworks for Cybersecurity Standards Development
New York Cyber Security and Engineering Technology Association (NYSETA) Conference, 2015 Oct.• Quantitative Modeling of Trust Protocols for Mobile Wireless Networks
Quantitative Models of Trust Frameworks for Mobile Wi-Fi Social Networks, 2014 Dec.
• Penetration Testing Frameworks for Stress Testing Banking VoIP Networks
Stress Testing Frameworks for Emerging Quantitative Finance Cyber Risk Concerns, 2014 May.
• Hong Kong Institute of CPAs Interview on the Future of Bitcoin
Preceded Multiple Predicted Global Regulatory Developments on Bitcoin, 2014 Jan.
• Bitcoin Protocol, ‘Cryptographic Proof’, &, Transaction Block Chain
First Technical Research Report on Bitcoin's Cryptographic ‘Proof of Work’, 2013 Dec.
• Number Field Sieve Cryptanalysis Algorithms for Breaking Encryption
Preceded Google's Public Announcement of Switch from 1024- to 2048-bit RSA, 2013 May.
• JP Morgan Multi-Asset Portfolio Liquidity Assessment Framework
Presentation to JP Morgan Senior Leaders, Managing Directors, Portfolio Managers, 2012 Jun .
• Measuring Financial Risks with Improved Alternatives Beyond VaR
Preceded Risk Magazine Report about Basel Moving Beyond VaR, 2012 Jan.
• AACSB Reports Impact of Research on Model Risk Management Practices
AACSB International, 2008 Feb.
• Structural Equation Models of Digital Consumer Behavior
JMIS, Ranked among Top-2 Peer Reviewed Academic Research Journals, 2008.
• Interview: World's Leading Management Thinkers on Corporate Strategy
Business Standard (India), 2007 Jan.
• Systems & Decision Models for Black Swans in Wicked Environments
Computer Society of India Communications: Invited Reprint of 1997 ACIS Article, 2006 Jul.• UK Management Press: IT & Knowledge Management Pioneer Interview
Emerald Group Publishing, UK Management Publisher, 2005.• Designing Real Time Enterprise Decision Models & Business Processes
Journal of Knowledge Management, 2005 Apr .• Multivariate Regression Models of Digital Consumer Behaviors
JMIS, Ranked among Top-2 Peer Reviewed Academic Research Journals, 2005.• Why Knowledge Management Systems Fail? Why Models Fail?
American Society for Information Science and Technology, 2004.
• Modeling ‘Human Factors’ Seen in Model Risk Management Guidance
Communications of the ACM, Association for Computing Machinery (ACM), 2004.
• PCA Models of Consumer Behavior for CRM Process Automation
Americas Conference In Information Systems, 2004 Aug .• CIO Insight Interview: Next Gen Enterprise Risk Management Systems
CIO Insight, 2004 Jul.• ‘Effective Challenge of Models’, ‘Professional Skepticism’ & ‘Human Factor’
CIO Insight: The Original Interview Focused on Model Risk Management, 2004 Jul.
• United Nations Global Economists Expert Panel Modeling Expert Paper
United Nations, 2003 Sep.
• United Nations Global Economists Expert Panel Modeling Expert Keynote
United Nations, 2003 Sep.
• Europe Interview: Systems and Models for Black Swans & Extreme Events
Business Management Europe, 2003 Sep.• Asia Interview: Systems and Models for Black Swans & Extreme Events
Business Management Europe, 2003 Sep.• Regression Models of Motivation & Commitment in Knowledge Work
IEEE, 2003 Jan.• Designing Digital Exchanges, Social Networks, & Electronic Communities
Information Strategy: The Executive's Journal, 2002.• Designing Systems for the Digital World of Black Swans & Extreme Events
United Nations - UNESCO Encyclopedia of Life Support Systems (EOLSS), 2002.• When Best [Practices] Becomes Worst: On Managing Model Risk
Momentum: The Quality Magazine of Australasia [Quality Society of Australasia], 2002 Sep.
• Risk Management and Controls for Emerging Business Environments
Knowledge Management, 2001 Jul.
• Intel Expert Paper: Enabling Next Generation Digital ERM Architectures
Intel Corporation, 2001 Jul.
• Machine Learning vs. Human Factor for “Effective Challenge of Models”
Expert Systems with Applications Journal, 2001 Jan.: Top Ranked Research Paper
• Risk Management and Controls for Digital Business Model Innovation
Knowledge Management and Business Model Innovation, 2001.
• BOOK: Knowledge Management and Business Model Innovation
Genesis of Knowledge Management for Business Model Innovation, 2000.
• Modeling & Measuring Digital Assets & Capital for Knowledge Economies
Journal of Global Information Management, 2000 Sep.
• Designing Digital Enterprises with Insourcing, Outsourcing, Self-Sourcing
Information and Management, 2000.
• Advancing Digital e-Business Information Strategy to "Internet Time"
Information Strategy: The Executive’s Journal, 2000.
• Innovative 'Loose-Tight' Systems for Agile Digital Business Models
Information Resources Management Journal, 2000 Mar.
• Preventing Model Risks in Digital Business Models & Decision Models
Knowledge Management for the Information Professional, 2000.• BOOK: Knowledge Management and Virtual Organizations
Genesis of Knowledge Management for Virtual Organizations, 2000.
• Modeling How Human Information-Processing Guides Meaning & Behavior
Journal of High Technology Management Research, 1999 Oct .
• CIO Magazine Interview: Does KM=IT? Does 'Reality' = 'Model'?
CIO Magazine, 1999 Sep.
• Advancing Beyond Model Risks in Knowledge Management Systems
Knowledge Management (UK), 1999 Mar.
• Multivariate Regression Models of Social Influences in Social Networks
IEEE, 1999 Jan.
• Systems & Decision Models for Black Swans in Wicked Environments
Americas Conference in Information Systems, 1997 Aug .
• Academy of Management Best Reviewer Award: Quantitative Analytics
100+ Quantitative Statistical Modeling Reviews for 40+ Research Publishers.
• National Science Foundation Cybercomputing-Cybersecurity Expert Panels
32 National Science Foundation Computer Scientists SBIR/STTR Expert Panels.
• Google Scholar: Decision Models, Risk Models, Uncertainty Management
20-Year Research Program: Global Impact on Worldwide Firms & Governments.
• Other Computational Quantitative Finance & Risk Analytics Publications
1993-Current .
• Other Computational Quantitative Finance & Risk Analytics Projects