Global Risk Management Network, LLC
757 Warren Rd, Cornell Business & Technology Park, Ithaca, NY 14852-4892.
FinRM Logo

Worldwide top leadership programs such as the Harvard MBA, IT visionaries such as Microsoft founder Bill Gates, Big-4 CxOs, and, CIOs of the US Army, US Navy, and US Air Force, have applied our digital ventures transforming global digital practices and recommended us to all as pioneers of Digital Transformation.

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.

Griffiss Cyberspace™ : Princeton FinTech Crypto Expert : MIT AI-Machine Learning Expert : Wall Street Hedge Funds Quant
Impact: [AI & Machine Learning : Cybersecurity & Cryptography : Computational Quant Finance : Digital Transformation]
FinRM™: [Download our Research:
Future Of Finance™ : MIT AI-ML-NLP-RPA : Princeton FinTech-Quant-Crypto]
MIT Industry Expert: AI & Machine Learning. AACSB: Research Impact among Nobel Laureates.
Princeton FinTech & Quant Presentations: Wall Street Quant: Top Investment Banks & Hedge Funds.
SSRN: AI-Algorithms-Machine Learning:  63 Top-10 Research RankingsTop 2% Authors.
Expert Panels: National Science Foundation Computer Scientists, United Nations Global Economists.
Advisor: Big-4 Sr. Partners, $100 B Hi-Tech Firms, Silicon Valley VCs-CEOs, US & World Governments.
Global Financial Systems Leader, Big-3 Finance-IT, Wall Street Banks-Hedge Funds $1 Trillion AUM.
Founder: Top Digital Site, Top-3 Search Engine, Top-10 Social Network: Largest Finance-IT Clients. 

Dr. Yogesh Malhotra,New York,USA  Dr.Yogesh.Malhotra[at]gmail.com  SSRN  Google Scholar    LinkedIn: We create the digital Future™

AI-Machine Learning; Cybersecurity-Risk Engineering; Quantitative Finance-Trading;
Crypto; Blockchain; Cloud Computing; Cognitive Computing; Quantum Computing

Global Risk Management Network, LLC
LinkedIn: We create the digital Future™
AI-Algorithms-Machine Learning; Quantitative Analytics; Cybersecurity Engineering;
Crypto; Blockchain; Cloud Computing; Cognitive Computing; Quantum Computing

Princeton University MIT Sloan School of Management Artificial Intelligence (AI) & Machine Learning Management and LeadershipExecutive Education    MIT Computer Science & ArtificialIntelligence Laboratory CSAIL Artificial Intelligence (AI) & Machine Learning Management and LeadershipExecutive Education     GetSmarter: Learn Online with the World's Top Universities
Goldman Sachs  JP Morgan Asset Management  Google  Intel  Microsoft

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
,...

Princeton University MIT Sloan School of Management Artificial Intelligence (AI) & Machine Learning Management and LeadershipExecutive Education    MIT Computer Science & ArtificialIntelligence Laboratory CSAIL Artificial Intelligence (AI) & Machine Learning Management and LeadershipExecutive Education     GetSmarter: Learn Online with the World's Top Universities

Goldman Sachs  JP Morgan Asset Management

Google  IBM  Intel  Microsoft  OgilvyOne
 Cisco  SAP  Verisign  European Commission  Government_of_UK

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

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

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

Princeton University MIT Sloan School of Management Artificial Intelligence (AI) & Machine Learning Management and LeadershipExecutive Education    MIT Computer Science & ArtificialIntelligence Laboratory CSAIL Artificial Intelligence (AI) & Machine Learning Management and Leadership Executive Education

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

 

Digital Transformation & Knowledge Management Community of Practice
CyberspaceOrganizations

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

Microsoft

CyberspaceBusinessModels
"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
city-university-hong-kong


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.

 


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

line


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.

2018 Princeton FinTech Crypto Quant Conference
Model Risk Management in AI, Machine Learning & Deep Learning
(Global Risk Management Network, LLC, 2018).

2018 MIT AI-Machine Learning Executive Guide including NLP, RPA & Cognitive Automation
2018 MIT AI-Machine Learning Executive Guide including
NLP, RPA & Cognitive Automation

(Global Risk Management Network, LLC, 2018).

2015 Princeton Quant Trading Conference
'Knight Reconsidered':
Future of Finance Beyond 'Flash Boys': Risk Modeling for Managing Uncertainty in an Increasingly Non-Deterministic Cyber World

(Global Risk Management Network, LLC, 2015).

2016 Princeton Quant Trading Conference
Knight Reconsidered Again: Risk, Uncertainty, & Profit Beyond ZIRP & NIRP:
Beyond Model Risk Management to Model Risk Arbitrage for Fintech Era:
How to Navigate 'Uncertainty'... When 'Models' are 'Wrong'... And 'Knowledge'... 'Imperfect'!

(Global Risk Management Network, LLC, 2016).


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.

 

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


Cryptanalytic Algorithms and Quantum ComputingBeyond 'Bayesian vs. VaR' Dilemma to Empirical Model Risk Management: How to Manage Risk (After Risk Management Has Failed).
(Global Risk Management Network, LLC, 2012, 2014)

Cryptanalytic Algorithms and Quantum Computing

Measuring & Managing Financial Risks with Improved Alternatives Beyond Value-At-Risk (VaR)
(Global Risk Management Network, LLC, 2012).


FinTech Markov Chain Monte Carlo Models and Bitcoin Block Chain Encryption Protocols

Markov Chain Monte Carlo Models, Gibbs Sampling, and, Metropolis-Hastings Algorithms

Markov Chain Monte Carlo Models,
Gibbs Sampling, and, Metropolis-Hastings Algorithms

(Global Risk Management Network, LLC, 2013).
Complex Stochastics Hi-Dimensional Statistical Analysis

Bitcoin Protocol: Model of 'Cryptographic Proof' Based Global Crypto-Currency & Electronic Payments System
Bitcoin Protocol: Model of 'Cryptographic Proof' Based Global Crypto-Currency & Electronic Payments System
(Global Risk Management Network, LLC, 2013).
First Report on the Bitcoin Cryptographic-Proof-of-Work

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.

Risk, Uncertainty, and Profit: Frank Knight Risk, Uncertainty, and Profit: Frank Knight Risk, Uncertainty, and Profit: Frank Knight
(Boston, MA: Hart, Schaffner & Marx; Houghton Mifflin Co), 1921.

2015 Princeton Quant Trading Conference
'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).



2015 New York Cyber Security and Engineering Technology Association Conference
Toward Integrated Enterprise Risk Management, Model Risk Management, & Cyber-Finance Risk Management:
Bridging Networks, Systems, and, Controls

(Global Risk Management Network, LLC, 2015).

2016 New York State Cyber Security Conference
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).



FinTech Enterprise Risk-Model Risk Management meet Penetration Testing-Ethical Hacking

2015 National CSO-CxO Cybersecurity Conference

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

New York Cyber Security and Engineering Technology Association (NYSETA) Conference
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.


Griffiss CyberspaceTM Cybersecurity Venture Spans Wall Street & Cyber Research


WirelessMobileTrustQuantitative Modeling of Trust and Trust Management Protocols in Next Generation Social Networks Based Wireless Mobile Ad Hoc Networks
(Global Risk Management Network, LLC,
December 18, 2014.)

Future of Cyber Risk
Griffiss Cyberspace Cybersecurity Venture Aims to Span Wall Street and Hi-Tech Research,
Cybersecurity, Financial Protocols & Networks Protocols Analysis, and, Penetration Testing
(Global Risk Management Network, LLC,
Summer 2013.)


FinTech Cognitive Analytics and Cryptanalytic Algorithms for Quantum Computing & Quantum Biology


Cognitive Analytics & Cryptanalytic Algorithms for Quantum Computing & Quantum BiologyFuture of Bitcoin & Statistical Probabilistic Quantitative Methods: Interview by Hong Kong Institute of Certified Public Accountants
(Global Risk Management Network, LLC, January 20, 2014.)

Cryptanalytic Algorithms and Quantum Computing
Cryptology beyond Shannon's Information Theory: Preparing for when the 'Enemy Knows the System': Beyond NSF Cryptanalytic Algorithms
(Global Risk Management Network, LLC, 2013.)


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...

AACSB logoAACSB

MORE...

Cryptanalytic Algorithms and Quantum Computing

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.


 

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
  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... ]
Model Risk Management Program


Digital Transformation Research & Practices Leading Global Firms & Governments

e-Services & Knowledge Management Digital Transformation Leading Global Firms & Governments

Google  IBM  Intel  Microsoft  OgilvyOne

 

Pioneering e-Services & Knowledge Management Digital Transformation Practices
Global & National Thought Leader for UN, NSF, US & World Governments & Parliaments

National Science Foundation  IBM

  USA Federal Government
US Dept. of Veteran Affairs

Government and Cabinet Of Mexico

United Nations

Government and Cabinet Of Netherlands

Nation of South Korea
Maeil Business TV

ACM  IEEE HP
TiE Silicon Valley  Accenture
Intel  Philips
British Telecom  Institute for Supply Management
The Conference Board

MORE...


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

MORE...



Digital Transformation Ventures in Global Business & Technology Press

Media Coverage Media Coverage
MORE...


Digital Transformation Research Interviews in Global Business & Technology Press

CIO Magazine
CIO Insight
Inc.
Fortune
Wall Street Journal
MORE...
Cyber Transformation Practices Guiding US DoD Commanders & CxOs
("Obsolete what you know before others obsolete it..."
- Dr. Yogesh Malhotra in Inc. Interview)

United States Army United States Navy United States Air Force United States Marine Corps AFRL
"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

MORE...

Top-3 Most Influential Scholars-Practitioners
in Knowledge Management
(Ranked in Drexel University Global Survey of IS Practice)

Vision Korea Campaign Keynotes
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

Princeton University
CyberspaceBusinessModels
Journal Articles & Reports 1993-Present

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

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.

MORE...


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

CyberspaceOrganizations

Published: 2000

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

Microsoft

CyberspaceBusinessModels
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
city-university-hong-kong

 

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

American Institute of Certified Public Accountants (AICPA)

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

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

Harvard Business Press Publishing

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

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

Business Week

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

Business Week

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

Forbes

"A practical guidepost..." - Chief Executive

Fortune

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


Wall Street Journal

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

Wall Street Journal

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

Wall Street Journal

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

Wall Street Journal

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

New York Times

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


San Jose Mercury News

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

Fast Company

"If @Brint doesn't have it, then you probably don't need it." - Fast Company

Fast Company

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

Computer World

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

CIO Magazine

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

Information Week

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

InfoWorld

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

InfoWorld

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

NASA Harvard University Stanford Graduate School of Business Stanford School of Medicine Stanford University MIT Sloan School of Management MIT 50 K Entrepreneurship Competition MIT Press MIT Libraries Yale Law Journal Wharton School Princeton University UC Berkeley UC Berkeley Haas School of Business among other worldwide firms and organizations such as...

 

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.

Top3SearchEngineBRINT

Top-3 Search Engines Ranked in the Carnegie Mellon University: National Industry.Net Awards

2015-2018: 63 SSRN Top-10 Research Rankings: Top-2% 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,
• 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.

Recent Research Presentations and Research Reports
*2018 Princeton FinTech & Quant Conference: Invited Research Presentation: AI-Machine Learning-Deep Learning MRM.
*2018 MIT Sloan-Computer Sc. & AI Lab AI-Machine Learning Executive Guide including RPA & Cognitive Automation
*2018 Journal of Operational Risk, March: Toward 'Cyber-Finance’ Cyber Risk Management Frameworks of Practice.
*2017 National Association of Insurance Commissioners, June , Advancing Cyber Risk Insurance beyond VaR Models.
*2017 IUP Journal of Computer Sciences, April, 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.
*2015-2018 58 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
58 SSRN Top-10 Rankings: AI, Algorithms & Machine Learning; Cybersecurity; Computational Quant Finance
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

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...)

 

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"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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