Dr. Yogesh Malhotra: LinkedIn: Risk Analytics Beyond 'Prediction' to 'Anticipation of Risk': Princeton University Presentations on the Future of Finance
Who's Who in America®, Who's Who in the World®, Who's Who in Finance & Industry®, Who's Who in Science & Engineering®
2015 & 2016 Princeton Quantitative Trading Conference: Invited Presentations: Computational Quantitative Research,
2015-2016: 33 SSRN Top-10 Research Rankings: Computational Quantitative, Risk Analytics, & Algorithms Research,
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

Princeton University Invited Presentations on the Future of Finance
'Rethinking Finance' for Era of Global Networked Digital Finance
FinTech Research Presentations on Model Risk Management
Pioneering 'Open Systems Finance', 'Model Risk Arbitrage', and, 'Cyber Finance'


Dr. Yogesh Malhotra at Princeton Quant Trading Conference
2016 Princeton Quant Trading Conference, Princeton University

Sponsors: Princeton University, Goldman Sachs, Citadel
Model Risk Arbitrage and Open Systems Finance, 'The Biggest Short'
Beyond Model Risk Management to Model Risk Arbitrage for FinTech Era

How to Navigate ‘Uncertainty’... When ‘Models’ Are ‘Wrong’... and ‘Knowledge’... ‘Imperfect’!
Knight Reconsidered Again: Risk, Uncertainty, & Profit beyond ZIRP & NIRP
ModelRiskArbitrage.com

2015 Princeton Quant Trading Conference, Princeton University
Sponsors: Princeton University, Princeton Bendheim Center & ORFE, Citadel, KCG Holdings
Future of Finance beyond 'Flash Boys'

Risk Modeling for Managing Uncertainty in Increasingly Non-Deterministic Cyber World

Knight Reconsidered: Risk, Uncertainty, and Profit for the Cyber Era:
Future of Finance: Cyber-Finance?:
Uncertainty Modeling & Model Risk Management

FutureOfFinance.org

2016 New York State Cyber Security Conference Research Presentation
Sponsors: New York State Governor & CIO.
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?

QuantRiskLabs.com

The Future of Finance Project: Uncertainty & Risk Management
Computational Finance Models & Cybersecurity Risk Analytics
with Next Generation Computational Statistics Algorithms


2016 Princeton Quant Trading Conference, Princeton University, April 16, 2016
Model Risk Arbitrage for Open Systems Finance:
How to Navigate ‘Uncertainty’... When ‘Models’ Are ‘Wrong’... and ‘Knowledge’... ‘Imperfect’!
Knight Reconsidered Again: Risk, Uncertainty, & Profit beyond ZIRP & NIRP
Yogesh Malhotra, PhD
Global Risk Management Network, LLC

Cornell Business and Technology Park, Ithaca, New York

The 2016 invited presentation at the Princeton Quant Trading Conference proposes two new financial innovations and their interrelationships: ‘Model Risk Arbitrage’ for ‘Open Systems Finance’. It develops the new framework of Model Risk Arbitrage for profit-maximization in the emerging global financial markets characterized by unprecedented uncertainty, complexity, and, rapid discontinuous changes. It develops the new framework of ‘Open Systems Finance’ aligned with George Soros’ Reflexivity Theory based upon empirical practical experience in financial markets as contrasted from ‘Closed Systems Finance’ models characterizing most of classical and academic Finance and Economics theory.

Aligning with George Soros’ Reflexivity Theory and associated Hegelian Dialectic, it characterizes ‘reflexivity’ as the missing link in Finance theory, research, and, practice that can help understand the effect of feedback and feedforward loops across Time and Space in information-based non-deterministic ‘open systems’ Finance. Consistently, it is based on the Hegelian Dialectic characterizing the [profit-maximizing] Black Hat approach as compared with the [risk-optimizing] White Hat approach. The Black Hat approach exploits all vulnerabilities at all levels of all systems to maximize advantage over the White Hat approach. Similarly, Model Risk Arbitrage exploits all model risks at all levels of all systems to maximize advantage over Model Risk Management. Open Systems Finance framework advances beyond ‘silo’ based mindsets characterizing academic theory and practices and thus serves as foundation for developing and executing Model Risk Arbitrage strategies for profit-maximization.

The current presentation advances upon last two decades of our applied and industrial research and global practices on post-WWW era management and modeling frameworks of uncertainty and risk management. It builds upon our research and practices on designing self-adaptive complex systems for high velocity hyper-turbulent environments characterized by high uncertainty.  The 2016 invited presentation is the sequel to the 2015 invited presentation at the Princeton Quant Trading Conference which advanced Frank Knight’s (1921) original treatise developing the foundation of Risk, Uncertainty, and Profit for the Cyber Era.  The 2015 presentation laid the foundation for examining modeling and management of ‘true uncertainty’ which is distinct from [theoretical] risk and “which forms the basis of a valid theory of profit and accounts for the divergence between actual and theoretical competition” (Knight 1921).

That presentation further advanced upon prior research in collaboration with world’s distinguished cybersecurity experts affiliated with the Air Force Research Lab and Wall Street’s leading risk management experts from top investment banks such as JP Morgan. That work developed the original basis for understanding emerging Cyber Finance practices at the intersection of leading-edge developments in both Finance and Cybersecurity related risk and uncertainty management. In addition, it also developed robust computational quantitative finance modeling foundations for industrywide Cyber Risk Insurance Modeling practices.


Leading Analytics & Frameworks Helping the World Model and Manage "True" Uncertainty for Over 20 Years

'"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.


Related Research & Applications:

Computational Finance & Cybersecurity Risk Analytics: Computational Statistics Algorithms

Enterprise Risk Management to Model Risk Management: Open Systems Dynamics View

Enterprise Risk Management, Model Risk Management, FinTech & Cyber Risk Management

Computational Statistics & Algorithms Research invited for Presentations at Princeton University

Publications List: Post-Doc Research, Books, Papers, Keynotes, Editorial Boards, Expert Panels

Computational Quantitative Analytics-Finance-Risk Management Projects

Research Impact in Business Press, Industry Surveys, & Scientific Studies:

AACSB Impact of Research among Finance Nobel Laureates such as Black-Scholes

Scientific Impact Studies Rankings among IT Nobel Laureates and Harvard Professors

CNet Networks Corporate Computing Award for Most Influential Research

Academy of Management Best Reviewer Award for Quantitative Structural & Statistical Models

2015-2016: 36 SSRN Top-10 Research Rankings
ALGORITHMS, MACHINE LEARNING & ECONOMETRICS for COMPUTATIONAL QUANT RISK ANALYTICS
 

    07/2016

    IRPN: Innovation & Cyberlaw & Policy

    05/2016

    Risk Management eJournal
    Risk Management & Analysis in Financial Institutions eJournal
    Econometrics: Econometric & Statistical Methods - Special Topics eJournal
    ERN: Other Econometrics: Econometric & Statistical Methods - Special Topics

    02/2016

    Corporate Governance: Disclosure, Internal Control, & Risk-Management eJournal

    01/2016

    CGN: Risk Management Practice
    CGN: Risk Management, Including Hedging & Derivatives
    Corporate Governance Practice Series eJournal
    IRPN: Innovation & Cyberlaw & Policy
    ISN: Property Protection

    05/2015

    Econometrics: Mathematical Methods & Programming eJournal
    Computational Techniques
    Information Systems & Economics eJournal

    04/2015

    Econometrics: Mathematical Methods & Programming eJournal
    Computational Techniques

    03/2015

    Econometric Modeling: Capital Markets - Risk eJournal
    Econometric Modeling: Risk Management eJournal
    Econometric Modeling: Capital Markets - Risk eJournal
    Operations Research Network eJournal
    OPER Subject Matter eJournal
    Systemic Risk
    Econometrics: Mathematical Methods & Programming eJournal

    02/2015

    Stochastic Models eJournal
    Computational Techniques
    OPER: Analytical
    Other Econometrics: Mathematical Methods & Programming
    Econometric & Statistical Methods - Special Topics eJournal
    Microeconomics: Decision-Making under Risk & Uncertainty eJournal
    VaR Value-at-Risk
    Uncertainty & Risk Modeling
    Econometric & Statistical Methods

    01/2015

    Econometric Modeling: Capital Markets - Risk eJournal
    Microeconomics: Decision-Making under Risk & Uncertainty eJournal
    Uncertainty & Risk Modeling
    VaR Value-at-Risk.

 

Digital Transformation & Advanced Analytics Projects Leading Global Firms & National Economies
line


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

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).

'"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
(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.




35 SSRN Top-10 Research Rankings in FinTech Quant Risk Analytics-Model Risk Management
  1. SSRN Top-10 Research: Risk Management eJournal: May 2016.
  2. SSRN Top-10 Research: Risk Management & Analysis in Financial Institutions eJournal: May 2016.
  3. SSRN Top-10 Research: Econometrics: Econometric & Statistical Methods - Special Topics eJournal: May 2016.
  4. SSRN Top-10 Research: ERN: Other Econometrics: Econometric & Statistical Methods - Special Topics: May 2016.
  5. SSRN Top-10 Research: Corporate Governance: Disclosure, Internal Control, Risk-Management eJournal: Feb. 2016.
  6. SSRN Top-10 Research: ISN: Property Protection: January 2016.
  7. SSRN Top-10 Research: CGN: Risk Management Practice: January 2016.
  8. SSRN Top-10 Research: CGN: Risk Management, Including Hedging & Derivatives: January 2016.
  9. SSRN Top-10 Research: Corporate Governance Practice Series eJournal: January 2016.
  10. SSRN Top-10 Research: IRPN: Innovation & Cyberlaw & Policy: January 2016.
  11. SSRN Top-10 Research: Econometrics: Mathematical Methods & Programming eJournal: May 2015.
  12. SSRN Top-10 Research: Computational Techniques: May 2015.
  13. SSRN Top-10 Research: Information Systems & Economics eJournal: May 2015.
  14. SSRN Top-10 Research: Econometrics: Mathematical Methods & Programming eJournal: April 2015.
  15. SSRN Top-10 Research: ERN: Computational Techniques (Topic): April 2015.
  16. SSRN Top-10 Research: Econometric Modeling: Risk Management eJournal: March 2015.
  17. SSRN Top-10 Research: Econometric Modeling: Capital Markets - Risk eJournal: March 2015.
  18. SSRN Top-10 Researchr: Econometric Modeling: Capital Markets - Risk eJournal: March 2015.
  19. SSRN Top-10 Research: MRN Operations Research Network eJournal: March 2015.
  20. SSRN Top-10 Research: OPER Subject Matter eJournal: March 2015.
  21. SSRN Top-10 Research: Systemic Risk (Topic): March 2015.
  22. SSRN Top-10 Research: Econometrics: Mathematical Methods & Programming eJournal: March 2015.
  23. SSRN Top-10 Research: Econometric & Statistical Methods - Special Topics eJournal: February 2015.
  24. SSRN Top-10 Research: Microeconomics: Decision-Making under Risk & Uncertainty eJournal: February 2015.
  25. SSRN Top-10 Research: VaR Value-at-Risk (Topic): February 2015.
  26. SSRN Top-10 Research: ERN: Uncertainty & Risk Modeling (Topic): February 2015.
  27. SSRN Top-10 Research: ERN: Econometric & Statistical Methods (Topic): February 2015.
  28. SSRN Top-10 Research: Computational Techniques (Topic): February 2015.
  29. SSRN Top-10 Research: OPER: Analytical (Topic): February 2015.
  30. SSRN Top-10 Research: ERN: Mathematical Methods & Programming (Topic): February 2015.
  31. SSRN Top-10 Research: Stochastic Models eJournal: February 2015
  32. SSRN Top-10 Research: Econometric Modeling: Capital Markets - Risk eJournal: January 2015.
  33. SSRN Top-10 Research: Microeconomics: Decision-Making under Risk & Uncertainty eJournal: January 2015.
  34. SSRN Top-10 Research: Uncertainty & Risk Modeling (Topic): January 2015.
  35. SSRN Top-10 Research: VaR Value-at-Risk (Topic): January 2015.



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


Griffiss CyberspaceTM Cybersecurity Venture Spans Wall Street & Cyber Research


Cryptanalytic Algorithms and Quantum ComputingQuantitative 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 Computational Quantitative Cryptanalytic Algorithms for Cyber-Quantum Era


Cryptanalytic Algorithms and Quantum ComputingFuture 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

 

Global-National Expert Panels of Computer Scientists & Quantitative Economists
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

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Digital Transformation Research in Global Business & Technology Press

CIO Magazine
CIO Insight
Inc.
Fortune
Wall Street Journal
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Digital Transformation Ventures in Global Business & Technology Press

Media Coverage Media Coverage
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Digital Transformation Venture Clients, Patrons, & Subscribers

A sample of our corporate and organizational clients, patrons, and users is listed below:

FinTech Firms: Goldman Sachs, Google, HP, IBM, Intel, Microsoft, Ogilvy, Wells Fargo

Consulting Firms: Accenture, Ernst & Young, McKinsey, PricewaterhouseCoopers

World Governments: Australia, Canada, European Union, United Kingdom, United States

U.S. Defense: AFRL, Air Force, Army, CCRP, Comptroller, DISA, DoD, NASA, Navy, RAND

World Defense: Australia (Air Force), Canada (Defence R&D), UK (Ministry of Defence)

Business Schools: Harvard, MIT, Princeton, Stanford, UC Berkeley, Wharton

Associations
: AACSB, ABA, ACM, AICPA, AOM, APICS, ASTD, ISACA, IEEE, INFORMS

"Founder Yogesh Malhotra says his vision is to fill the gaps between business and technology, data and knowledge, and, theory and practice..."
-
Dr. Yogesh Malhotra in Fortune
Interview

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

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 Top Digital Research Site, Search Engine, & 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 after 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