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Dr. Yogesh Malhotra: RESEARCH: Beyond 'Prediction' to 'Anticipation of Risk': Research Impact among Nobel Laureates: Princeton University Presentations: Digital Ventures:
[Digital Transformation Pioneer] [AI, Algorithms & Machine Learning] [Computational Quant Analytics] [CyberSecurity Risk Engineering] [FinTech: 'Rethinking Finance']
2015 & 2016 Princeton Quant Trading Conference Presentations: Computational Quant & Crypto Machine Learning Algorithms,
2008: AACSB International Impact of Research Report: Named among Black-Scholes, Harry Markowitz & Bill Sharpe

*Projects *Goldman Sachs *JP Morgan *Wall Street Hedge Funds *Princeton Presentations *Model Risk Arbitrage *Cyber Finance *Cyber Risk Insurance * Ventures
*Bayesian vs. VaR *Markov Chain Monte Carlo Models *Mobile Trust Models * Pen Testing Frameworks *Bitcoin Cryptanalytics *NFS Cryptanalytics Algorithms
*Research Impact *Future of Finance *Beyond VaR *Model Risk Management *SR11-7 *OCC2011-12 *Future of Risk *Cyber Risk *SSRN *Google Scholar *Publications

Dr. Yogesh Malhotra: Future of Risk (FutureOfFinance.org) Venture Spans Wall Street & Hi-Tech Quant Research.
"Almost all risks characterizing today's information-based financial products and services, financial markets, financial exchanges, financial currencies, and financial economies are however first and foremost Information risks and Cyber risks. Such Information risks and Cyber risks may not only escalate traditional risks but may also subsume traditional financial risks as brick-and-mortar institutions such as NYSE 'trading floors' become 'museums of financial history'."
-- Dr. Yogesh Malhotra on the launch of Griffiss Cyberspace (2013-2015), Summer 2013, Rome, NY
"Unlike other risks, Cyber Risk poses a uniquely different set of exposures as it is intertwined with the medium and the message in the increasingly digital world of networked communications... "
- Dr. Yogesh Malhotra,
January 19, 2015, in the Risk Futures Report of the The Future of Finance (FutureOfFinance.org) venture:
A Report on the Future of Finance, Future of Risk, and Future of Quant: ‘Knight Reconsidered’: Risk, Uncertainty, and, Profit for the Cyber Era

- Projects: Cybersecurity, Financial Protocols & Networks Protocols Analysis, and, Penetration Testing
- Reports: Quantitative Computational Finance-Risk Modeling & Risk Management Research Papers

- Venture: Griffiss Cyberspace Cybersecurity Venture Aims to Span Wall Street and Hi-Tech Research
To guide the global practices of Cyber Risk and Cyber Risk Assessment, Dr. Yogesh Malhotra's post-doctoral research guided by the advisory committee of Distinguished Computer Scientists, Mathematicians, &, Physicists affiliated with AFRL and NYS-CRI defines the risk as well as the means for measuring progress by combining ways and means to achieve defined ends.

Access here:
Model Risk Management of Cyber Insurance Models Using Quantitative Finance and Advanced Analytics: Risk, Uncertainty, and Profit for the Cyber Era
by
Dr. Yogesh Malhotra.

CISOs must first define the risk, cybersecurity analyst tells Congress

"To combat continued and growing threats, cybersecurity officials should utilize a two-step process, said a network security firm executive speaking before Congress."

"Step one is to define the risk, and step two is to measure progress by combining ways and means to achieve defined ends," Richard Bejtlich, chief security strategist at FireEye, told the House Energy and Commerce subcommittee on oversight and investigations March 3. "This is exactly the role of strategic thinking, meaning the application of strategies, campaigns, tactics and tools to achieve organizational goals."
-- FierceGovernmentIT, March 5, 2015

 

FireEye

White House

FierceGovernmentIT

"[The] scale and breadth of the attacks — and the lack of clarity about the hackers’ identity or motive — show not only the vulnerability of the most heavily fortified American financial institutions but also the difficulty, despite billions of dollars spent in detection technology, in finding the sources of attack... The data breach at JPMorgan Chase was amongthe most troubling breaches ever,” [Illinois Attorney General] said, adding that it proved “there is probably no database that cybercriminals cannot compromise.”"
-- [President] Obama Had Security Fears on JPMorgan Data Breach, New York Times, Wednesday, 8 Oct, 2014 | 2:08 PM.

"In our existing environment and at our company, cybersecurity attacks are becoming increasingly complex and more dangerous," Dimon said. "The threats are coming in not just from computer hackers ... but also from highly coordinated external attacks both directly and via third-party systems."
-- Jamie Dimon, Chairman & CEO, JP Morgan Chase & Co., JPMorgan cyberattack hits 76M households, CNBC, Friday, 3 Oct 2014 | 1:51 AM ET.

"When it comes to security, the best defense is offense; you need to test the effectiveness of your own security practices before a real intruder does it for you...The best defense against network vulnerabilities is a great proactive offense. You must test your networks and systems before someone else does."

How to Do It:
- Risk Management Framework for Stress Testing Banking Network Protocols
- Markov Chain Monte Carlo Models for High-Dimension Complex Stochastics
- Tools and Techniques for Penetration Testing and Ethical Hacking

"This is going to be a big deal and there will be a lot of battles... We need a lot of help."
-- Jamie Dimon, Chairman & CEO, JP Morgan Chase & Co., Dimon Calls for Help on Cyberattacks, New York Times , Friday, 10 Oct 2014 | 3:22 PM.

White House

 

JP Morgan

CNBC    New York Times

 

 

 

 

 

 

 

 

 

Benjamin Lawsky, superintendent of the New York Department of Financial Services, said that cyberterrorism is the most significant issue that DFS will work on in the next year, saying the possibility of an “armageddon-like” cyberattack is one of his primary concerns as a financial regulator. “I worry that we’re going to have some sort of major cyber-event in the financial system that’s going to cause us all to shudder,” Lawsky said... "We like to say that to some extent the failures to detect the 9/11 plot were a failure of imagination and communication," he said. "I'm worried about the same thing here—that an event will happen and we'll look back and say, 'How did we not do more?'

-- NY regulator warns against looming cyber 9/11, CNBC, Sep 22 , 2014 12:47 p.m. ET.

New York

CNBC    Bloomberg

"Treasury Secretary Jacob Lew is calling for financial firms to do more to combat cybersecurity threats..."Far too many hedge funds, asset managers, insurance providers, exchanges, financial market utilities, and banks should and could be doing more,"... attacks on the US financial sector can come from a myriad of sources, including state sponsored groups, cyber criminals, politically motivated hackers and others. No matter the source... a successful attack on the US financial system "would compromise market confidence, jeopardize the integrity of data, and pose a threat to financial stability."
-- Treasury Secretary Calls for Better Cybersecurity at Financial Firms - Jacob Lew Says Successful Attacks 'Would Compromise Market Confidence', The Wall Street Journal, July 15, 2014 6:54 p.m. ET.

New York

Wall Street Journal

 


"
Based on available evidence, it is not improbable that the current officially "recommended" most widely used global standard of encryption (RSA-1024) may have already been compromised."
-- Dr. Yogesh Malhotra in Number Field Sieve Cryptanalysis Algorithms for Most Efficient Prime Factorization on Composites presentation 15 miles from the Air Force Research Lab, May 1, 2013.  


Malhotra, Y. Cryptology beyond Shannon’s Information Theory: Preparing for When the ‘Enemy Knows the System’ with Technical Focus on Number Field Sieve Cryptanalysis Algorithms for Most Efficient Prime Factorization on Composites, Published by the Global Risk Management Network, LLC, May 3, 2013.

 

'Changes to our SSL Certificates', Thursday, May 23, 2013 8:00 AM, Posted by Google Stephen McHenry, Director of Information Security Engineering: "This encryption needs to be updated at times to make it even stronger, so this year our SSL services will undergo a series of certificate upgrades—specifically, all of our SSL certificates will be upgraded [from RSA-1024] to 2048-bit keys by the end of 2013. We will begin switching to the new 2048-bit certificates on August 1st..."

"Google just announced that its HTTPS web pages will be ditching 1024-bit RSA keys in favour of 2048 bits."
- Anatomy of a change - Google announces it will double its SSL key sizes, nakedsecurity, May 27, 2013.

Computational & Quantitative Finance Risk Management Impact...

Google


"Operational risks stemming from breakdowns attributed to people, process and technology have become increasingly apparent in banking over the years. "

- U.S. Banks’ Model Risk Worse than Ever, Thanks to Basel III, American Banker, July 11, 2013.

Advancing Beyond VaR Model Risks Exposed by the Financial Crisis...

American Banker


"Hackers and other cybercriminals pose as grave a threat to the financial system as the recent financial crisis if banks and government officials don't mount an effective response, a top U.S. official warned Wednesday. The growing sophistication of cyberattacks spawned by criminal organizations, hackers and other foreign governments could pose a systemic risk to the financial system, Comptroller of the Currency Thomas Curry said in a speech in Washington. "The financial-services industry is one of the more attractive targets for cyberattacks, and, unfortunately, the threat is growing," Mr. Curry said. "

- U.S. Official Warns on Threat to Banks From Cyberattacks: Comptroller of Currency Says Systemic Threats are Growing, Wall Street Journal, September 18, 2013.

Cybersecurity Risk as Key Contributor to Banks' Financial Risk...

Office of the Comptroller of the Currency


"On Sept. 18, the Federal Reserve shocked the financial world with its decision not to scale back its level of support to the economy as most market participants expected... By one estimate, as much as $600 million in assets changed hands in the milliseconds before most other traders in Chicago could learn of the Fed's September surprise... The precise timing of the release is crucial because information can only travel as fast as the speed of light... like a Fed decision—released in Washington takes as much as 7 milliseconds to travel to Chicago, where futures and other assets are traded. And because high-speed trading firms are now able to execute trades at the millisecond level, there is a brief window of time in which information can be publicly available in Washington but is still traveling to Chicago, where computers won't receive it until milliseconds later." - Some traders got 'no taper' decision news earlier, CNBC, 24 Sep 2013.

Black Swans and Federal Reserve/OCC Model Risk Guidance SR11-7...

US Federal Reserve System


"On Monday afternoon, seven New York State senators gathered at the Griffiss Institute for a cyber security hearing. The hearing, entitled Defending New York from cyber attacks covered various topics within the cyber security spectrum. There are six subcommittees under the cyber security topic: Banking, Veterans, Homeleand Security & Military Affair, Insurance, Commerce, Economic Development & Small Business, Crime VIctims, Crime & Correction, Select Committee on Science, Technology, Incubation & Entrepreneurship."

- Cyber security conference held On Griffiss, Rome Observer, Monday, November 18, 2013.

Griffiss Cyberspace Venture Spans Wall Street & Hi-Tech Quant Research...

Rome Observer

"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)

CxO Leadership Pioneering Global Cyber Risk Management Practices...

Us DoD Under Secretary of Defenese

"We are observing diminishing credibility of information technologists. A key reason for this is an urgent need to understand how technologies, people and processes together combine to influence enterprise performance. - Yogesh Malhotra, Journal of Knowledge Management"

- United States Air Force Research Lab CIO Col. Tom Hamilton
in presentation to the Armed Forces Communications Electronics Association titled 'Enterprise IT Solutions Are Tough But They're Tougher If You're Stupid'.

CxO Leadership Pioneering Finance-IT-Risk Management Practices...

Griffiss AFRL

"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 "

- U.S. Defense Information Systems Agency Interoperability Directorate.

Global Cyber Defense, Finance & IT Risk Management CxO Guidance...

Griffiss AFRL

Griffiss Cyberspace (GriffissCyberspace.com) Cybersecurity Venture Aims to Span Wall Street and Hi-Tech Research:
World-Leading Thought Leadership of Global Defense Bearing on Global Finance Cybersecurity

Griffiss Cyberspace, our latest Cyber Risk Management venture in the Griffiss Air Force Base area of Rome, New York, advances our global CxO leadership renowned for pioneering U.S. and worldwide risk practices in IT and Cyber Risk Management. It aims to connect the dots between Wall Street quantitative finance and quantitative risk modeling research and practices and latest generation computational and mathematical research and practices in cybersecurity and cyber risk management of critical national information infrastructures (NII). Its socioeconomic objective is to contribute to the regional economic development of Central New York and advancement of cybersecurity and cyber risk management practices related to global banking and financial systems and other critical NII.

Our prior research followed by the nation's top signals intelligence (SIGINT) expert agencies NSA and CIA, such as the computer science journal Expert Systems with Applications top-ranked paper on Cyber risk management human and machine learning expert systems & AI (2001), advanced upon Shannon's Information Theory. Inspired by our communication with the Genetic Algorithms pioneer Dr. John Holland (1995) at the Santa Fe Institute at the time, it anticipated and addressed many questions raised about quantitative computational models in the aftermath of the 2008-2009 Global Financial Crisis more than a decade ahead of time. Our recent Cryptanalysis research focus on Number Field Sieve Cryptanalysis Algorithms for Prime Factorization on Composites proposed next generation robust encryption standards by advancing Non-Deterministic reformulations of both Kerckhoffs's principle and Shannon's maxim underlying modern encryption standards and technologies.

Our two-decade-long Cyber Risk Management applied research and global practice ventures also produced and published one of the most influential seminal research papers on the US National Information Infrastructure (NII) in 1995 used as a most recommended resource by worldwide and UN Economists, Statisticians, and Policymakers and top programs such as the University of California Berkeley.

US Office of the Comptroller of the Currency recently underscored Cybersecurity as ‘Fastest-Growing Risk to Banks’ that must be accounted for like other Financial Risks such as Credit Risk or Market Risk (see, for example: "OCC Sees Cybersecurity as Fastest-Growing Risk to Banks", American Banker, June 18, 2013). The growing sophistication of cyberattacks could pose a systemic risk to the financial system, Comptroller of the Currency Thomas Curry noted in his subsequent speech, observing that the "financial-services industry is one of the more attractive targets for cyberattacks, and, unfortunately, the threat is growing." (see, for example 'U.S. Official Warns on Threat to Banks From Cyberattacks: Comptroller of Currency Says Systemic Threats are Growing', Wall Street Journal, September 18, 2013.)

Reflecting on OCC's remark that the specific cyberattack and cybersecurity related risks represent 'operational risks', it seems important to update our perspectives characterizing financial risks in traditional terms such as Credit Risks, Market Risks, Operational Risks, etc. Such definitions might have reflected the true nature of financial risks in the past. Almost all risks characterizing today's information-based financial products and services, financial markets, financial exchanges, financial currencies, and financial economies are however first and foremost Information risks and Cyber risks. Such Information risks and Cyber risks may not only escalate traditional risks but may also subsume traditional financial risks as brick-and-mortar institutions such as NYSE 'trading floors' become 'museums of financial history'.
- Dr. Yogesh Malhotra,
Summer, 2013

 

 

Background:

Pioneering Global Computational Quant Cyber-Crypto Finance-IT-Risk Management Digital Transformation Practices

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Princeton University Invited FinTech Research Presentations on Model Risk Management
Pioneering 'Open Systems Finance', 'Model Risk Arbitrage', and, 'Cyber Finance'


*2016 Princeton Quant Trading Conference: Among other Presenters: It was a pleasure to collaborate.

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).


40 SSRN Top-10 Research Rankings in Computational Statistical Algorithms & Machine Learning


40 SSRN Top-10 Research Rankings: Computational Quant Analytics, Algorithms, & Machine Learning, 2015-2016.

Research selected for 40 SSRN Top-10 Rankings in Computational Quantitative Risk Analytics.
- SSRN Top-10 Ranking Categories
• 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.

 

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

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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

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Digital Transformation Ventures in Global Business & Technology Press

Media Coverage Media Coverage
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Digital Transformation Research Interviews in Global Business & Technology Press

CIO Magazine
CIO Insight
Inc.
Fortune
Wall Street Journal
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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

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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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Pioneered Digital Transformation e-Services & Knowledge Management Practices
Led Global Virtual Team of 200-PhD Experts & CxOs to Publish Pioneering Research Leading Global Practices

CyberspaceOrganizations
Published in 2000
CyberspaceBusinessModels
Published in 2001

CyberspaceBusinessModels
Journal Articles & Reports 1993-Present

Published independent Study paper on computer graphics image compression standards for hypermedia computing technologies, the precursor of WWW, on MBA graduate research fellowship with B2B pioneer and full tuition scholarship in 1993.

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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


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

Recent Research Presentations and Research Reports
*Princeton University Presentations on the Future of Finance: 'Rethinking Finance' for Era of Global Networked Digital Finance.
*2016 Princeton Quant Trading Conference Invited Research Presentation: Beyond Stochastic Models to Non-Deterministic Methods.
*2015 Princeton Quant Trading Conference Invited Research Presentation: Beyond Risk Modeling to Knightian Uncertainty Management.
*Beyond 'Bayesian vs. VaR' Dilemma to Empirical Model Risk Management: How to Manage Risk (After Risk Management Has Failed).
*Markov Chain Monte Carlo Models, Gibbs Sampling, & Metropolis Algorithm for High-Dimensionality Complex Stochastic Problems.
*Risk, Uncertainty, and Profit for the Cyber Era: 'Knight Reconsidered': Model Risk Management of Cyber Risk Insurance Models.
*Cybersecurity & Cyber-Finance Risk Management: Strategies, Tactics, Operations, &, Intelligence: ERM to Model Risk Management.
*Number Field Sieve Cryptanalysis Algorithms for Most Efficient Prime Factorization on Composites: Beyond Shannon's Maxim.
* Bitcoin Protocol & Bitcoin Block Chain: Model of 'Cryptographic Proof' Based Global Crypto-Currency & Electronic Payments System.
*2015-2016 40 SSRN Top-10 Research Rankings for Computational Quantitative & Risk Analytics Algorithms Machine Learning Research.
* 2008 AACSB International Impact of Research Report: Named 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
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
Quantitative Finance, Quantitative Risk Analytics & Risk Management Projects Impact
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
40 SSRN Top-10 Rankings: Computational Quant Analytics: 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

2015-2017: 40 SSRN Top-10 Research Rankings: Top-10% SSRN Authors:
AI & Decision Modeling; Algorithms & Machine Learning:
SSRN Top-10 Research Ranking Categories:
• Capital Markets,
• Cognition in Mathematics, Science, & Technology,
• Computational Biology,
• Computational Techniques,
• Corporate Governance: Disclosure, Internal Control, & Risk-Management,
• 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,
• 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