Dr. Yogesh Malhotra, AI-ML-Cyber-Quant Finance Post-Doc

• MIT-Princeton Faculty-SME: Post-Doctoral AI-Machine Learning-Quant Finance & Trading-Cyber-Crypto-Quantum-FinTech-Risk-Cloud-Engineering-R&D:
Computer Science-Computer & Network Security-Quantitative Finance & Trading.
SSRN: 128+ Top-10 Research Rankings: Top 1% Authors: www.YogeshMalhotra.com :
AI & Machine Learning, Computer Science, Cyber Security, Cryptography,
AI-ML-DL-Digital-Quant-Cyber-Crypto-Quantum-Risk-Computing

Keywords: Digital Transformation, Decision… Show more

• MIT-Princeton Faculty-SME: Post-Doctoral AI-Machine Learning-Quant Finance & Trading-Cyber-Crypto-Quantum-FinTech-Risk-Cloud-Engineering-R&D:
Computer Science-Computer & Network Security-Quantitative Finance & Trading.
SSRN: 128+ Top-10 Research Rankings: Top 1% Authors: www.YogeshMalhotra.com :
AI & Machine Learning, Computer Science, Cyber Security, Cryptography,
AI-ML-DL-Digital-Quant-Cyber-Crypto-Quantum-Risk-Computing

Keywords: Digital Transformation, Decision Science, Technology Adoption & Diffusion, Cloud Computing, Agility, Resilience, Artificial Intelligence, Machine Learning, Cybersecurity, Well Architected Framework, Cloud Adoption Framework, Infrastructure as Code, MLOps, DevSecOps, CI-CD, Microservices, Containers, Self Adaptive Complex Systems, Chaos, Model Risk Management, Risk Modeling, Bayesian Inference, VaR, Portfolio Construction, Portfolio Optimization, Fund of Funds, Hedge Funds, Bitcoin, Block Chain, Block Chain Protocol, Electronic Payments System, Attacks-Vulnerabilities of Bitcoin, Cryptographic Protocol, Cryptographic Proof of Work, , Cryptographic Trust, Cryptocurrencies, Money, Cryptographic Algorithms, Elliptic Curve Digital Signature Algorithm, ECDSA, Credit Risk, CreditMetrics, Credit VaR, VaR, Value at Risk, Transition Matrices, Credit Ratings, Forward Pricing, Forward Price Curves, Fixed Income, Bonds, Bond Defaults, Credit Defaults, Economic Capital, Quantitative Analytics, Quantitative Finance, Model Risk Management, Cyber Risk Modeling, Cyber Insurance, Cyber Finance, Risk Management, Cyber-Finance-Trust Framework (tm), Cyber Economics, Cyber Risk, Quantitative Models, Vulnerabilities, Threats, Risk Mitigation, Process Engineering; AI; Machine Learning; Deep Learning; Cognitive Computing; Neuromorphic Computing; Model Risk Management; Anticipatory Risk Analytics; Risk Management; Uncertainty Management; Intelligence, Surveillance & Reconnaissance, C4I-Cyber, C4I, Quantum Computing, Command & Control, ABMS, JADC2 Show less

Over the course of the last eight years, as the Silicon Valley-Wall Street-Pentagon-Global Digital CEO-CTO-CxO Digital Transformation and Risk Management pioneer, our New York State Cybersecurity Presentations have advanced New York State Capitol Information Technology, Cybersecurity, Artificial Intelligence (AI), Machine Learning (ML), Quantum Computing, Cryptography, and Cloud Computing practices. At the recent 2023 annual presentation, we shared Why ChatGPT-LLMs-Generative AI Cannot Be… Show more

Over the course of the last eight years, as the Silicon Valley-Wall Street-Pentagon-Global Digital CEO-CTO-CxO Digital Transformation and Risk Management pioneer, our New York State Cybersecurity Presentations have advanced New York State Capitol Information Technology, Cybersecurity, Artificial Intelligence (AI), Machine Learning (ML), Quantum Computing, Cryptography, and Cloud Computing practices. At the recent 2023 annual presentation, we shared Why ChatGPT-LLMs-Generative AI Cannot Be Trusted and Why We Still Need to Advance R&D on Them for Advancing Beyond Limitations of ChatGPT, Large Language Models, and Generative AI. Some analysts ‘predict’ that within five years or so, ongoing AI-ML advances will surpass Artificial General Intelligence (AGI) rendering the needed human[-like] skills obsolete resulting in the “real existential crisis” of development and sustenance of future ‘employable’ skills. As AWS Accredited-Certified Partner & AWS Academy Educator with AWS CTO Fellowship as AWS Startup Council member, we are guiding and leading the future of post-GPT Cyber-Resilient AI-ML Software Development as well as already building Post-GPT Future of Cyber-Resilient AI-ML Education & Training Skills Development. Drawing upon our recent R&D driven global practices development, we share How to Ensure You Aren't Replaced by Generative AI-Large Language Models in Post-GPT Future.

Keywords: Generative AI, Generative Artificial Intelligence, Large Language Model, Security Posture, Cyber-Resilience, Software Development, Workforce Development, GPT, Machine Learning, Deep Learning, Natural Language Processing, Self-Adaptive Complex Systems, Knowledge Management, Computer Science & Engineering, Quantum Uncertainty, Dynamic Uncertainty, Data Driven AI, Network-Centric AI, Human-Centered AI, Meaning Aware AI, AI Factories, AI Ecosystems, Model Risk Management, Model Risk Arbitrage, AI Financial Markets, AI Stock Valuations, AI Risk Management Standards, AI Cyber-Resilience Show less

Network-Centric Meaning-Driven Human-Centric AI-Cyber Computing Beyond Data-Driven to Event-Driven Architectures for Quantum Uncertainty, 1995-2023:

Building upon contextual focus of global discussions on GPT, ChatGPT, GenAI, GenAI, LLMs, we help you advance beyond global AI-hype - on both dystopian and utopian extremes - to focus on the latest AI Event-Driven Architectures developments such as in AIOps, MLOPs, DevSecOps, Infrastructure As Code, Configuration As Code, Platform As Code… Show more

Network-Centric Meaning-Driven Human-Centric AI-Cyber Computing Beyond Data-Driven to Event-Driven Architectures for Quantum Uncertainty, 1995-2023:

Building upon contextual focus of global discussions on GPT, ChatGPT, GenAI, GenAI, LLMs, we help you advance beyond global AI-hype - on both dystopian and utopian extremes - to focus on the latest AI Event-Driven Architectures developments such as in AIOps, MLOPs, DevSecOps, Infrastructure As Code, Configuration As Code, Platform As Code, Pipeline As Code for building Cloud Computing AI-Agility and Cyber-Resilience Sustainability, the focus of our 2022 New York State Cybersecurity Conference presentation as AWS Partner. With increasing Digitization of Networks as Code, we help world's global 'Hardware', 'Software' and other 'Computing' providers and practitioners advance beyond legacy models of computing to the latest Cloud-based Networked Computing Utility models. Our 30-year R&D focus on Network-Centric Computing from both Socio-technical and Systems Engineering perspectives spans the schisms presented by Claude Shannon's Information Theory in how AI-ML enabled Information Processing and Sense Making can occur across both Socio-Technical and Computing-Telecom Networks*.

Having already addressed the core issues being debated on mainstream Business, Finance, Technology and other media and resolved them based on 30-years of our AI-Cyber-Network Science-Engineering R&D leading worldwide Digital practices, we also help you advance ahead by 25-years on the global Risk Management standards given that the latest ISO 31000 Risk Management Standard is playing catch up having lagged 25-years behind our R&D leading global Risk Management practices. Based on most thorough R&D over 30-years and most in-depth analysis of current academic, scholarly, policy and practice resources, we provide definitive answers on many issues that have left too many confused with what our analysis shows as extreme dystopian and utopian views. Show less

ISO 31000 Standard on Risk Management recently re-defined Risk as the effect of uncertainty on an organization's ability to meet the objectives. The 'revised' ISO Risk advances beyond a static world guided by prediction to a dynamic world characterized by uncertainty and complexity focused on business outcomes over data inputs. As Self-Adaptive Systems pioneer, our ‘Anticipation of Surprise’ focus of KM R&D adopted by global organizations such as Goldman Sachs, NASA and Big Banks is readily… Show more

ISO 31000 Standard on Risk Management recently re-defined Risk as the effect of uncertainty on an organization's ability to meet the objectives. The 'revised' ISO Risk advances beyond a static world guided by prediction to a dynamic world characterized by uncertainty and complexity focused on business outcomes over data inputs. As Self-Adaptive Systems pioneer, our ‘Anticipation of Surprise’ focus of KM R&D adopted by global organizations such as Goldman Sachs, NASA and Big Banks is readily applicable to provide a 25-year head start to organizations in above ISO risk evolution. Over the last two decades, we have developed theoretical and applied frameworks for the dynamic world characterized by uncertainty and complexity, with business outcomes as drivers of real-time performance rather than data inputs. Our KM focus manages change, uncertainty and complexity as primary [outcome] targets in contrast to ‘data-driven’ [input] approaches. Its focus on dynamic uncertainty is complemented by adversarial uncertainty from cyber-adversarial environments. Quantum uncertainty – encapsulating the two uncertainty types – and time-space complexity from increasingly non-deterministic and statistically non-normal and non-linear environments are the focus of our KM R&D underpinning development of Quantum minds. Our latest AI-Cybersecurity KM practices are advancing the future of Pentagon’s C4I-Cyber-Command-Control-Advanced Battle Management Systems and AWS Network-centric Agile-Resilient Cloud computing.

Keywords: AI-Agility, Cyber-Resilience Engineering, Quantum Minds, Self-Adaptive Complex Systems, Quantum Uncertainty, Time Space Complexity

Malhotra, Y, Augmented AI-Knowledge Driven Intelligent Systems for Adversarial-Dynamic Uncertainty & Complexity: Designing Self Adaptive Complex Systems for Quantum Uncertainty and Time Space Complexity (February 8, 2023). The International Journal of Knowledge Engineering and Management (IJKEM), 2023.: https://ssrn.com/abstract=4351946 Show less

The current article about execution of the Data Protection Act (DPA) proposal was sent a week before the State of New York state wide shut-down due to the global COVID-19 coronavirus pandemic to Senator Kirsten Gillibrand, the US Senator from the State of New York who had proposed the DPA. The article underscored the need to advance the focus of its execution beyond ex-post reactive penalization of respective firms for compromise of privacy of personal information by firms 'storing' such data… Show more

The current article about execution of the Data Protection Act (DPA) proposal was sent a week before the State of New York state wide shut-down due to the global COVID-19 coronavirus pandemic to Senator Kirsten Gillibrand, the US Senator from the State of New York who had proposed the DPA. The article underscored the need to advance the focus of its execution beyond ex-post reactive penalization of respective firms for compromise of privacy of personal information by firms 'storing' such data to focus on ex-ante Sustainability and Survival material to individuals. There were two specific issues underlying the above recommendations. First, it is not just about storage of such 'entrusted' data but if and how such data was 'exploited' by the trusted firms to Command & Control the Survival and Sustainability of respective individuals. Second, in most cases, those firms may not even be responsible for such compromise of individual data entrusted to them given that they are themselves subject to being 'hacked' by third parties. Hence, to solve the more critical systemic problem encompassing all individuals and firms, we need to build and stress-test systems to preempt and prevent such 'hacking' attacks in addition to the proposed normative compliance measures. Essentially, for Sustainability and Survival of individual Command & Control (C2), we need to focus on developing and deploying Adversarial C2 systems to stress test the robustness of C2 systems as well as Counter-Adversarial C2 to counter the adversarial threats.

The specific focus of global networked systems, infrastructures, and networks that can get impacted in global systemic exponential cascading attacks given the inter-connectivity of networks and often endogenous nature of such attacks was compared with analogous global contagion risks of COVID-19 and their global and national 'spread' that all are monitoring. Continued: https://ssrn.com/abstract=4326658 . Show less

Framework of CreditMetrics Methodology for Credit VaR

Malhotra, Yogesh. Framework of Credit Metrics Methodology for Computing Credit VaR, IUP Journal of Financial Risk Management. Sep 2022, Vol. 19 Issue 3, p 38-49. 12p.

Abstract

Financial institutions are subject to many sources of risk, where risk often represents the degree of uncertainty about future net returns. Credit Risk can result in potential loss due to the inability of a counterparty to meet its obligations and… Show more

Framework of CreditMetrics Methodology for Credit VaR

Malhotra, Yogesh. Framework of Credit Metrics Methodology for Computing Credit VaR, IUP Journal of Financial Risk Management. Sep 2022, Vol. 19 Issue 3, p 38-49. 12p.

Abstract

Financial institutions are subject to many sources of risk, where risk often represents the degree of uncertainty about future net returns. Credit Risk can result in potential loss due to the inability of a counterparty to meet its obligations and is a function of the credit exposure, the probability of default and the loss in the event of default. For a given credit instrument portfolio of Credit obligations such as a portfolio of corporate bonds or swaps, Credit Value-at-Risk (VaR) quantifies how much at most can be lost with a given probability over a specific time horizon (Malhotra 2015). The associated CreditMetrics Methodology, originally introduced in 1997 by JP Morgan has become the “de facto industry standard” along with Credit VaR for credit risk modeling among global financial institutions as well as their regulators (Malhotra 2022). Described by Hull (2011 and 2012) as ‘a procedure for calculating credit value at risk’, CreditMetrics methodology (RiskMetrics Group, 2007) is used for assessing portfolio risk due to changes in bond or debt value caused by credit quality changes, including credit migration (upgrades and downgrades) as well as default. It measures the uncertainty in forward value of the bond portfolio at the risk horizon caused by such credit events. By distinguishing high quality well-diversified portfolios from low-quality concentrated portfolios, CreditMetrics offers better understanding of credit risk in terms of diversification benefits and concentration risk compared to standard capital adequacy measures.

Keywords: Credit Risk, CreditMetrics, Credit VaR, VaR, Value at Risk, Transition Matrices, Credit Ratings, Forward Pricing, Forward Price Curves, Fixed Income, Bonds, Bond Defaults, Credit Defaults... Show less

JP Morgan World HQ: Guidance to Managing Directors-Quants, Portfolio Managers

Built Liquidity Risk Modeling System for Deployment by the Managing Directors.
Led quantitative portfolio liquidity modeling for multiple financial asset classes.
Led literature review of all liquidity risk models, methods, and measures.
Led project management & scheduling and delivering high quality results on time.
Led interpretations of all outcomes & findings to ED team of Quants, CIO, MDs… Show more

JP Morgan World HQ: Guidance to Managing Directors-Quants, Portfolio Managers

Built Liquidity Risk Modeling System for Deployment by the Managing Directors.
Led quantitative portfolio liquidity modeling for multiple financial asset classes.
Led literature review of all liquidity risk models, methods, and measures.
Led project management & scheduling and delivering high quality results on time.
Led interpretations of all outcomes & findings to ED team of Quants, CIO, MDs, PMs..
Assets: alternatives, HF, equities, commodities, fixed income, bonds, currencies.
Analyzed market risk, credit risk, ALM risk, portfolio risk, investment risk.
Led modeling and stress-testing for all asset classes and composite portfolio.
Led validation of all liquidity and liquidity risk models and measures.
Led verification of model performance, limiting behaviors, responses to stress.
Led modeling of pricing & risk measurement with specific focus on liquidity.
Led evaluation of third-party models, data, software for diverse asset classes.
Led inventorying of model assumptions and assessment of model risks for all assets.
Led evaluation of third-party models, data, software for diverse asset classes.
Led inventorying of model assumptions and assessment of model risks for all assets.
Modeled historical simulation, parametric & modified VaR, expected shortfall.
Modeled and analyzed multi-asset volatility, variances & correlations, GARCH, MLE.
Modeled VaR, QMLE, non-normality, Cornish-Fisher, EVT stochastic models for assets.
Modeled and analyzed liquidity risk models for all assets and portfolio optimization.
Identified & defined benchmark indices & data sources for all asset classes.
Assessed soundness of liquidity & liquidity risk models for assets & portfolio.

Keywords: JP Morgan, Hedge Funds, Risk Models, Liquidity Risk, Market Risk, Credit Risk, Alternative Assets, Alternative Investments, Equities, Commodities, Fixed Income, Bonds, Currencies Show less

In the aftermath of the Global Financial Crisis, some risk management practitioners have advocated wider adoption of Bayesian inference to replace Value- at-Risk (VaR) models in order to minimize risk failures. Despite its limitations, the Bayesian methodology has significant advantages. Just like all other quantitative models, VaR—[mostly] non-Bayesian and [increasingly] Bayesian—continues to be a key methodological foundation of risk management and regulation-related risk modeling practices… Show more

In the aftermath of the Global Financial Crisis, some risk management practitioners have advocated wider adoption of Bayesian inference to replace Value- at-Risk (VaR) models in order to minimize risk failures. Despite its limitations, the Bayesian methodology has significant advantages. Just like all other quantitative models, VaR—[mostly] non-Bayesian and [increasingly] Bayesian—continues to be a key methodological foundation of risk management and regulation-related risk modeling practices in global finance. Many studies have noted that Bayesian inference modeling and VaR modeling frameworks facilitate model risk management for minimizing risks. VaR frameworks are empirically applied for hedge fund risk modeling of multi-asset fund of funds portfolios of a large investment bank. In this study, multiple risk models and measures with transparent assumptions to cross-validate convergent findings across multiple levels of risk analysis are examined for empirical model risk management.

Keywords: Model Risk Management, Risk Modeling, Bayesian Inference, VaR, Portfolio Construction, Portfolio Optimization, Fund of Funds, Hedge Funds

JEL Classification: B23, C1, C10, C11, C12, C13, C14, C15, C19, C22, C32, C4, C5, C51, C52, D81, G11 Show less

Conference Presentation Video: https://youtu.be/1gd6mKeHJuw :
387-Pg PDF Guide: https://ssrn.com/abstract=4131044 :

Cloud Computing CEOs-CTOs-CIOs-CFOs-CXOs Reference Guide: How You Can Implement Well-Architected ‘Zero Trust’ Hybrid-Cloud Computing Beyond ‘Lift and Shift’: Cloud-Enabled Digital Innovation at Scale with Infrastructure as Code (IaC), DevSecOps and MLops: Cloud Computing: Computing as Global Agile Resilient On-Demand Infinitely Scalable Utility:

"CEOs-CxOs must… Show more

Conference Presentation Video: https://youtu.be/1gd6mKeHJuw :
387-Pg PDF Guide: https://ssrn.com/abstract=4131044 :

Cloud Computing CEOs-CTOs-CIOs-CFOs-CXOs Reference Guide: How You Can Implement Well-Architected ‘Zero Trust’ Hybrid-Cloud Computing Beyond ‘Lift and Shift’: Cloud-Enabled Digital Innovation at Scale with Infrastructure as Code (IaC), DevSecOps and MLops: Cloud Computing: Computing as Global Agile Resilient On-Demand Infinitely Scalable Utility:

"CEOs-CxOs must realize that the Future of Computing as Global Agile Resilient On-Demand Infinitely Scalable Utility is already happening NOW. Worldwide Future-Focused CEOs-CxOs and Boards are already choosing to and planning to advance beyond "Undifferentiated Heavy Lifting" with Zero or Negative Value to Positive Business Performance Value. The latest Computing evolution is even more significant than the coming of the WWW."

Exponential improvements in Cloud Computing architectures and capabilities offer unprecedented speed and agility for global Digital Innovation along with much needed integration of Smart Automation and Cyber Resilience at scale. However, as evident from industry surveys of business and technology executives, most need help in getting up to speed with the rapidly evolving Cloud technology platforms and architectures. Given the rapidly accelerating pace and sophistication of global cyber-attacks threatening critical IT and OT infrastructures, advancing beyond “legacy” on-premises and virtualized data centers is not a matter of discretionary choice, but a matter of existential survival. Drawing upon our Big-3 Cloud Computing Network Partner practices with comparative understanding of the leading Cloud Computing Providers and related Cloud Computing implementation and migration strategies, we shall advance technology leaders’ understanding about the key Cloud Computing implementation-migration strategies and related technological-architecture issues hence enabling systematic Cloud adoption. Show less

SSRN Top-10 R&D Rankings:
Decision-Making in Computational Design & Technology eJournal, 31 July 2022
DecisionSciRN: Digital Transformation, Jul 25, 2022
DecisionSciRN: Technology Adoption & Diffusion, Jul 25, 2022

Exponential improvements in Cloud Computing architectures and capabilities offer unprecedented speed and agility for global Digital Innovation along with much needed integration of Smart Automation and Cyber Resilience at scale. However, as evident from industry… Show more

SSRN Top-10 R&D Rankings:
Decision-Making in Computational Design & Technology eJournal, 31 July 2022
DecisionSciRN: Digital Transformation, Jul 25, 2022
DecisionSciRN: Technology Adoption & Diffusion, Jul 25, 2022

Exponential improvements in Cloud Computing architectures and capabilities offer unprecedented speed and agility for global Digital Innovation along with much needed integration of Smart Automation and Cyber Resilience at scale. However, as evident from industry surveys of business and technology executives, most need help in getting up to speed with the rapidly evolving Cloud technology platforms and architectures. Given the rapidly accelerating pace and sophistication of global cyber-attacks threatening critical IT-OT infrastructures, advancing beyond “legacy” on-premises and virtualized data centers is not a matter of discretionary choice, but a matter of existential survival. Drawing upon our Big-3 Cloud Computing Network Partner practices with comparative understanding of the leading Cloud Computing Providers and related Cloud Computing implementation and migration strategies, we advance technology leaders’ understanding about the key Cloud Computing implementation-migration strategies and related technological-architecture issues hence enabling systematic Cloud adoption.

Keywords: Cloud Computing, Agility, Resilience, AI, Machine Learning, Cybersecurity, Well Architected Framework, Cloud Adoption Framework, Infrastructure As Code, MLOps, DevSecOps, CI/CD, Microservices, Containers, Self Adaptive Complex Systems, Chaos Show less

Quantum Artificial Intelligence (AI), Trustable AI and Explainable AI: The Missing Links: Why Smart Humans Are Critical For Using Smart AI Technologies Smartly: https://lnkd.in/e4yKkphk:
MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) Faculty-SME: AI-ML-DL-NLP-Robotics-RPA Guide: https://lnkd.in/eknKzm5 :

His latest Interview builds on prior Keynotes and Presentations of Digital-AI-Quant Finance pioneer Dr. Yogesh Malhotra advancing upon his R&D ranked for impact… Show more

Quantum Artificial Intelligence (AI), Trustable AI and Explainable AI: The Missing Links: Why Smart Humans Are Critical For Using Smart AI Technologies Smartly: https://lnkd.in/e4yKkphk:
MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) Faculty-SME: AI-ML-DL-NLP-Robotics-RPA Guide: https://lnkd.in/eknKzm5 :

His latest Interview builds on prior Keynotes and Presentations of Digital-AI-Quant Finance pioneer Dr. Yogesh Malhotra advancing upon his R&D ranked for impact among AI-Quant-Finance Nobel laureates building Silicon Valley-Wall Street-Pentagon-Global Digital CEO-CxO Practices --- recommended by industry leaders such as Microsoft founder Bill Gates and Management & Leadership programs such as the Harvard MBA.

Our Digital ventures are compared with world-leading e-learning programs such as Harvard and Wharton and lead worldwide global Digital practices: https://lnkd.in/egrbGbk.

We founded the world's Top ranked global Digital Transformation Network including Top Digital Site-Search Engine-Social Network with millions of worldwide users and led the Silicon Valley venture capitalists and CEOs on How to Build and Lead Global Digital Enterprises for the 'Wild Wild Web'.

European Union: Global AI Conference: Why C4I-Cyber Controls Supremacy is Prerequisite for AI Supremacy: AI-Cybersecurity Master Class: Models-Algorithms-Data:
https://lnkd.in/erQxatbE: https://lnkd.in/eJChRAdR:

USA: Keynote: GAIM Ops West CxO AI-Cybersecurity Keynote: Hedge Fund & Private Equity Venture Capital CxOs: Evolution of Risk Management in a World of Uncertainty:
https://lnkd.in/eahsVSYU: https://lnkd.in/drkwCYmg:

Asia: Keynote: Global AI Conference: The Future is Now:
"How Has AI Challenged Boundaries of Humanistic Thinking":
https://lnkd.in/e37GirjM: https://lnkd.in/eUb6Z-ES:

European Union: AI FinTech Expert Panel Beyond Model Risk Management: Model Risk Arbitrage to Quantum Uncertainty Time Space Complexity: https://lnkd.in/eaMa7yEJ: https://lnkd.in/dQd7yjJP : Show less

The post-COVID-19 global virtualization with increasing global cyber-attacks across the Information Technology (IT) and Operational Technology (OT) systems has raised the bar for AI, cybersecurity, defense and law enforcement policymakers and professionals.
Our US Air Force Research Lab CA ventures advance C4I-Cyber command & control practices, technologies, ventures, and networks to meet such post-COVID-19 risk management realities. We build upon our role as the world’s first, foremost, and… Show more

The post-COVID-19 global virtualization with increasing global cyber-attacks across the Information Technology (IT) and Operational Technology (OT) systems has raised the bar for AI, cybersecurity, defense and law enforcement policymakers and professionals.
Our US Air Force Research Lab CA ventures advance C4I-Cyber command & control practices, technologies, ventures, and networks to meet such post-COVID-19 risk management realities. We build upon our role as the world’s first, foremost, and largest digital transformation network that pioneered digital-virtual organizations practices, spanning Silicon Valley, Wall Street, the Pentagon, and other worldwide organizations.COVID-19 has highlighted the critical significance of resilience and sustainability of command and control (C2) capabilities of systems powering national defense & space, critical infastructures, all enterprises, and intra- and inter-enterprise networks for organizational, national, and global survival in spite of the latest AI and quantum computing capabilities powering business-IT performance.Hence, design, development, deployment, and sustenance of critical infrastructures and systems need to advance beyond C2 to include focus on adversarial C2 and counter-adversarial C2 capabilities to survive and thrive given unprecedented global and national cyber-attacks. Our ConnectAI workshop will help AI, cyber security, defense and law enforcement policymakers, professionals, managers, and leaders advance beyond data, beyond models, and beyond algorithms to effectively preempt risks posed by the latest and greatest adversarial threats by drawing upon our latest contributions to advancing US global and national defense & space capabilites. To counter C2 risks to critical infrastructures and systems, commercial, government, military, and other, we shall build upon our practices advancing upon the NIST risk management and risk engineering frameworks for AI, ML, quant, cyber, crypto, and quantum risk computing. Show less

Hedge Fund-Private Equity CEOs-CxOs Keynote: Future of Finance Alternative Assets, Alternative Risks: How We Create the Digital Future And You Can Too:

Common Sense of Risk & Uncertainty Management Sense-Making:
Data, Models, Algorithms, AI, Quantum

Problem 1: DATA: All Data is About the Past, All Decisions Are About the Future
- Advance Beyond Prediction to Anticipation of Surprise: FutureOfFinance.org .

Problem 2: MODELS: All Models Are Wrong, Yet All Algorithms… Show more

Hedge Fund-Private Equity CEOs-CxOs Keynote: Future of Finance Alternative Assets, Alternative Risks: How We Create the Digital Future And You Can Too:

Common Sense of Risk & Uncertainty Management Sense-Making:
Data, Models, Algorithms, AI, Quantum

Problem 1: DATA: All Data is About the Past, All Decisions Are About the Future
- Advance Beyond Prediction to Anticipation of Surprise: FutureOfFinance.org .

Problem 2: MODELS: All Models Are Wrong, Yet All Algorithms Use Models
- Use Model Risk Management and Model Risk Arbitrage: ModelRiskArbitrage.com .

Problem 3: ALGORITHMS: No Master Algorithm, Different Tribes: Different Masters
- Deploy Common Sense, Sense Making & Intuition as AI Doesn’t Have Any of Them .

Problem 4: RISKS: Fragmented Risks Across Domain ‘Silos’ Result in Systemic Risks
- Manage Non-Normal, Non-Linear Risks & Uncertainty for Adversarial Uncertainty .

Problem 5: AI SUPREMACY: AI Supremacy Is a Myth and So Is Quantum Supremacy
- Ensure Command-Control Supremacy for AI-Quantum Resilience-Sustainability.

Problem 6: METAVERSE: Every Vendor Sells One’s Own Metaverse ‘Products’
- Build Your Metaverse to Manage Quantum Uncertainty & Time-Space Complexity. Show less

European Union FinTech Innovation Conference Panel: Breaking Down Finance Verticals & In Search For New Horizontals: Beyond Model Risk Management & Model Risk Arbitrage to Quantum Uncertainty and Time-Space Complexity in Quantitative Finance and Trading for Hedge Funds Risk Management: Vilnius: Lithuania:
FINTECH INN 21-22 October 2021, ORGANIZED BY: Lithuania Ministry of Economy & the Ministry of Science & Education: https://www.fintechinn.lt/ :

• All Data is About Past… All… Show more

European Union FinTech Innovation Conference Panel: Breaking Down Finance Verticals & In Search For New Horizontals: Beyond Model Risk Management & Model Risk Arbitrage to Quantum Uncertainty and Time-Space Complexity in Quantitative Finance and Trading for Hedge Funds Risk Management: Vilnius: Lithuania:
FINTECH INN 21-22 October 2021, ORGANIZED BY: Lithuania Ministry of Economy & the Ministry of Science & Education: https://www.fintechinn.lt/ :

• All Data is About Past… All Decisions Are About Future
• All Models Are Wrong… All FinTech-AI Algorithms Use Models
• All Risks Are Fragmented… All FinTech Depends Upon Risk Management

#FinTech #Crypto #HedgeFund #Risk #Modeling & #RiskManagement for the #Adversarial #Quantum #Uncertainty #Time #Space #Complexity #Era

Our #WallStreet #HedgeFunds #Practices #FinTech-#AI #Panel underscores 3 #Key #Problems and our resolutions for your #Successful #Performance in:

• #Assets Management
• #Investment Management
• #Portfolio Management
• #Pricing
• #Risk Management
• #Trading
• #Valuation, etc.

#Panel Fintech & AI:
Breaking Down #Finance #Verticals And In Search For New #Horizontals:
Beyond #ModelRiskManagement & #ModelRiskArbitrage to #Quantum #Uncertainty & #Time-#Space #Complexity in #Quantitative #Finance & #Trading for #Hedge #Funds #Risk #Management.

Goldman Sachs J.P. Morgan: #Beyond #Prediction:
#AnticipationOfSurprise FutureOfFinance.org

Princeton University: #Beyond #ModelRisk ModelRiskArbitrage.com
ACM, Association for Computing Machinery
CFA Institute
PRMIA - Professional Risk Managers'​ International Association
National Association of Insurance Commissioners (NAIC)
#Beyond #VaR #ValueAtRisk
#ModelRiskManagement #ModelRiskArbitrage:

MIT Computer Science and Artificial Intelligence Laboratory (CSAIL):
Beyond #AI to #QuantumMinds for #QuantumUncertainty:

Global Risk Management Network LLC: Silicon Valley-Wall Street-Pentagon-Global Digital CEOs Networks:
AIMLExchange.com: BRINT.com: C4I-Cyber.com: Show less

Future of Search-Learning-Work: Humanistic Artificial Intelligence-Machine Learning-Quantum Computing

2021 October: Future is Now: How Has AI Changed the Boundaries of Humanistic Thinking:

"I propose that Silicon Valley embrace human-driven technology as the Next Big Thing... It would empower users rather than exploit them. Human-driven social networks would enable sharing with friends, but without massive surveillance, filter bubbles and data insecurity."

AIMLExchange™ is… Show more

Future of Search-Learning-Work: Humanistic Artificial Intelligence-Machine Learning-Quantum Computing

2021 October: Future is Now: How Has AI Changed the Boundaries of Humanistic Thinking:

"I propose that Silicon Valley embrace human-driven technology as the Next Big Thing... It would empower users rather than exploit them. Human-driven social networks would enable sharing with friends, but without massive surveillance, filter bubbles and data insecurity."

AIMLExchange™ is the Silicon Valley-Wall Street-Pentagon-Global Digital Pioneer of human-driven social networks that empower rather than exploit users... As Global Digital Transformation pioneers, we led and guided Silicon Valley 20-years ago to build Digital enterprises for the ‘Wild Wild Web’ starting with the beta version of the first WWW browser. We are ready to lead the Silicon Valley again to advance further as founders and pioneers of the Silicon Valley's 'Next Big Thing' being already developed as one of our latest US Air Force-Air Force Research Lab Commercialization Academy ventures.

Having led Silicon Valley 20-Years Ago, BRINT.com ups the Global Bar "Beyond" Quantum: https://lnkd.in/ePEpnPd

Pioneering Human-Centered AI & Augmented AI 25-Years before the World Caught Up: https://lnkd.in/eY7ft5m

Knowledge Management, Virtual Organizations & Business Model Innovation Pioneer: https://lnkd.in/e7fBQmm

Pioneer: AI-Machine Learning-Quant-Cyber-Crypto-Quantum Where World Will Go Next: https://lnkd.in/eetNWFT

Having Built Global CEO-CxO Practices across MIT, Princeton, & Wall Street Hedge Funds: https://lnkd.in/eBih82G

Global Digital Transformation Pioneer: Top Digital Site, Search Engine, &, Social Network: https://lnkd.in/eXr6tsR .

Global Risk Management Network LLC: Silicon Valley-Wall Street-Pentagon-Global Digital CEOs Networks:
AIMLExchange.com: BRINT.com: C4I-Cyber.com:
We Create the Digital Future™: https://lnkd.in/esk8PEp : Show less

Guidance To Joint Chiefs Of Staff: Beyond #ABMS #JADC2 to #QuantumUncertainty Time-Space Complexity: The Joint Staff: How To Advance ABMS-JADC2 For Command & Control Resilience: On Executing The #ControlDoctrine To Counter Adversarial #UnrestrictedWarfare:
Video: https://lnkd.in/eR2fJpW : Slides: https://lnkd.in/gNviMFz .
LinkedIn: https://www.linkedin.com/posts/yogeshmalhotra_guidance-to-the-joint-chiefs-of-staff-how-activity-6809129601000906753-CbY0

2021 #NewYorkState… Show more

Guidance To Joint Chiefs Of Staff: Beyond #ABMS #JADC2 to #QuantumUncertainty Time-Space Complexity: The Joint Staff: How To Advance ABMS-JADC2 For Command & Control Resilience: On Executing The #ControlDoctrine To Counter Adversarial #UnrestrictedWarfare:
Video: https://lnkd.in/eR2fJpW : Slides: https://lnkd.in/gNviMFz .
LinkedIn: https://www.linkedin.com/posts/yogeshmalhotra_guidance-to-the-joint-chiefs-of-staff-how-activity-6809129601000906753-CbY0

2021 #NewYorkState #CyberSecurity Conference: #NexGen #Cyber Track: Wednesday, June 9, 2021: 2:00 PM - 3:00 PM EDT: C4I-Cyber Command & Control Supremacy: Video: https://lnkd.in/eR2fJpW : Slides: https://lnkd.in/gNviMFz : NYS Office of Information Technology Services New York State Cybersecurity Conference Presentations: https://lnkd.in/gcrsGFg:

Given unprecedented global and national cyber-attacks, critical Systems need to advance beyond C2 to include focus on Adversarial C2 and Counter-Adversarial C2 capabilities to survive and thrive. Drawing upon our latest contributions to advancing US Global and National Defense & Space capabilities spanning Air-Space-Cyberspace such as the Advanced Battle Management System (ABMS) Joint All Domain Command & Control (JADC2), our latest State of New York Cybersecurity Conference presentation will help Cyber Security and Risk Management professionals, managers, and, leaders advance Beyond Data, Models, and Algorithms to preempt risks posed by latest adversarial threats. We shall build upon our Practices advancing upon the NIST Risk Management and Risk Engineering frameworks for AI, Machine Learning, Quantitative, Cyber, Crypto, and, Quantum Risk Computing to counter the C2 risks for enterprises, systems, and, infrastructures – commercial, government, military, and other – connected to the Internet. Show less

Despite exponential improvements in Data, Models, and, Algorithms and advancements in AI and Quantum Computing, the bar on national and organizational Security has been raised by COVID19 global disruptions including ongoing global cyber-attacks. As world’s first, foremost, and, largest Digital Transformation Network that pioneered Digital and Virtual Organizations practices spanning Silicon Valley, Wall Street, Pentagon, our latest Air Force Research Lab Ventures are advancing C4I-Cyber Command… Show more

Despite exponential improvements in Data, Models, and, Algorithms and advancements in AI and Quantum Computing, the bar on national and organizational Security has been raised by COVID19 global disruptions including ongoing global cyber-attacks. As world’s first, foremost, and, largest Digital Transformation Network that pioneered Digital and Virtual Organizations practices spanning Silicon Valley, Wall Street, Pentagon, our latest Air Force Research Lab Ventures are advancing C4I-Cyber Command & Control (C2) Practices, Technologies, Ventures, and Networks to meet the post-COVID19 Risk Management realities. In spite of latest AI and Quantum Computing capabilities powering Business-IT Performance, COVID19 has highlighted the critical significance of Resilience and Sustainability of C2 capabilities of Systems powering National Defense & Space, Critical Infrastructures, all Enterprises, and, Intra- and Inter-Enterprise Networks for organizational, national, and, global survival. Given unprecedented global and national cyber-attacks, critical Systems need to advance beyond C2 to include focus on Adversarial C2 and Counter-Adversarial C2 capabilities to survive and thrive. Drawing upon our latest contributions to advancing US Global and National Defense & Space capabilities spanning Air-Space-Cyberspace such as the Advanced Battle Management System (ABMS) Joint All Domain Command & Control (JADC2), our latest State of New York Cybersecurity Conference presentation will help Cyber Security and Risk Management professionals, managers, and, leaders advance Beyond Data, Models, and Algorithms to preempt risks posed by latest adversarial threats. We shall build upon our Practices advancing upon the NIST Risk Management and Risk Engineering frameworks for AI, Machine Learning, Quantitative, Cyber, Crypto, and, Quantum Risk Computing to counter the C2 risks for enterprises, systems, and, infrastructures – commercial, government, military, and other – connected to the Internet. Show less

SSRN Top-10 SSRN R&D Rankings - Multiple:
- DecisionSciRN: Risk Techniques, Apr 26, 2021
- DecisionSciRN: Decision-Making & Risk Management, Apr 26, 2021
- CGN: Risk Management Practice, Mar 29, 2021
- CGN: Risk Management, Including Hedging & Derivatives, Mar 29, 2021
- Corporate Governance Practice Series eJournal, Mar 29, 2021
- Corporate Governance: Disclosure, Internal Control, & Risk-Management eJournal, Mar 29, 2021
- ERN: Value-at-Risk, Mar 26, 2021
- Finance… Show more

SSRN Top-10 SSRN R&D Rankings - Multiple:
- DecisionSciRN: Risk Techniques, Apr 26, 2021
- DecisionSciRN: Decision-Making & Risk Management, Apr 26, 2021
- CGN: Risk Management Practice, Mar 29, 2021
- CGN: Risk Management, Including Hedging & Derivatives, Mar 29, 2021
- Corporate Governance Practice Series eJournal, Mar 29, 2021
- Corporate Governance: Disclosure, Internal Control, & Risk-Management eJournal, Mar 29, 2021
- ERN: Value-at-Risk, Mar 26, 2021
- Finance Educator: Courses, Cases & Teaching eJournal, Mar 23, 2021

Described by Hull (2011, 2012) as ‘a procedure for calculating credit value at risk’, CreditMetrics methodology (RiskMetrics Group 2007) is used for assessing portfolio risk due to changes in bond or debt value caused by credit quality changes including credit migration (upgrades and downgrades), as well as, default. It measures the uncertainty in forward value of the bond portfolio at the risk horizon caused by such credit events. Changes in debt value could be small in case of credit quality ratings change; however, they could be enormous, 50% to 90%, in case of default. Characterized by a long downside tail, credit-returns are highly-skewed and fat-tailed and thus far from the Gaussian normal distribution assumptions about market risk in VaR (Fig. 1). In the portfolio context, based upon correlation of credit quality moves across obligors, CreditMetrics assesses both value-at-risk (VaR), i.e., the volatility of value, as well as expected losses (EL). By distinguishing high quality well-diversified portfolios from low-quality concentrated portfolios, it offers better understanding of credit risk in terms of diversification benefits and concentration risk compared to mandated standard capital adequacy measures.

Keywords: Credit Risk, CreditMetrics, Credit VaR, VaR, Value at Risk, Transition Matrices, Credit Ratings, Forward Pricing, Forward Price Curves, Fixed Income, Bonds, Bond Defaults, Credit Defaults, Economic Capital, Diversification Show less

Following Up On: The Story Behind the Digital Innovation Network Named 'The Knowledge Creating Company™' Before Google: Circa 1993-2001: The Little Engine That Could Do: Cybernetics, Digital Social Enterprises, & Digital Social Networks: The Self-Adaptive Complex Systems Network Point-Of-View: On Actualizing the Cybernetic Models of Complex Self-Adaptive Systems & Harnessing the “Wild Wild Web”: https://www.brint.com/TheLittleEngineThatCould.html .

#SelfAdaptive #ComplexSystems #Learning… Show more

Following Up On: The Story Behind the Digital Innovation Network Named 'The Knowledge Creating Company™' Before Google: Circa 1993-2001: The Little Engine That Could Do: Cybernetics, Digital Social Enterprises, & Digital Social Networks: The Self-Adaptive Complex Systems Network Point-Of-View: On Actualizing the Cybernetic Models of Complex Self-Adaptive Systems & Harnessing the “Wild Wild Web”: https://www.brint.com/TheLittleEngineThatCould.html .

#SelfAdaptive #ComplexSystems #Learning #Doing #Execution
2021: Latest Reference w.r.t. Self-Adaptive Learning "Methodology" in the recent invited Small Business Development Keynote Presentation on:
Growing Digital Startups to Trillion $ Companies While Saving 90% Time & Cost Building Sustainable Resilience:
Video Presentation: https://www.youtube.com/watch?v=XPV-AV17rk0
Downloadable PDF: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3769330

Pioneering Global Digital Transformation from Silicon Valley to Wall Street to Pentagon shares the lessons learned in the journey of the world's Digital Transformation pioneer invited by world-leading companies such as Google, IBM, Intel, and, Ogilvy and institutions such as Harvard and MIT to take them on as clients given our worldwide leadership of Digital Transformation based upon Digital Assets, Intellectual Capital, Human Capital, and, Social Capital on which we serve as the United Nations global benchmark of Knowledge Assets for worldwide national economies. As the world’s first, foremost, and, largest global Digital Transformation Network of practices with millions of worldwide users, hundreds of thousands of contributors, and, fans who have recommended these ventures to their worldwide followers including Microsoft founder Bill Gates, Big-4 Consulting CxOs, and, CxOs of US Army, US Navy, and, US Air Force, our latest Air Force Research Lab ventures continue leading the world’s Digital Transformation journey. Show less

Our contextual US Air Force (USAF) focus is on the Advanced Battle Management System (ABMS) Joint All Domain Command & Control (JADC2), characterized as the ‘New American Way of War’ to yield “significant advantage over everybody in the world for a long time” by The Joint Staff Chiefs Vice-Chair General Hyten. Focused on ‘real world’ ‘Systems of Systems’ and ‘Networks of Networks’, we advance beyond pervasive mainstream R&D on Quantum Computing “silos” to elucidate what we see as the new… Show more

Our contextual US Air Force (USAF) focus is on the Advanced Battle Management System (ABMS) Joint All Domain Command & Control (JADC2), characterized as the ‘New American Way of War’ to yield “significant advantage over everybody in the world for a long time” by The Joint Staff Chiefs Vice-Chair General Hyten. Focused on ‘real world’ ‘Systems of Systems’ and ‘Networks of Networks’, we advance beyond pervasive mainstream R&D on Quantum Computing “silos” to elucidate what we see as the new paradigm of the Real Time Network Centric Computing Warfare in the ABMS-JADC2 ‘concept’. By drawing upon our world-leading global practices on Management of Radical Discontinuous Changes (such as ‘Black Swans’), Uncertainty and Complexity, we focus on building most robust and resilient Human-Machine Systems informed by our R&D on Autonomy and Controls adopted by worldwide organizations including NASA and Big Banks.

Drawing upon our R&D on AI & Quantum Uncertainty, Quantum Computing is presented as a solution to the exponentially widespread challenges of Time, Space, and Sensory Complexity central to USAF’s Next Generation Air Dominance (NGAD) built on most optimal and resilient execution of ABMS-JADC2. Advancing upon our AI-ML-Quant-Cyber-Crypto-Quantum Computing and Risk Management practices, Quantum Computing is seen as enabler of ‘Massive Parallelism’ for Exponentially Fast Optimization enabling fast search at ‘speed of light’ for “Options” to Maximize Gains” While Minimizing “Risks.” Advancing beyond AI and Quantum Supremacy hype, we present how “The Hacker” focus leads beyond Command & Control (C2) to Adversarial C2 (AC2) and Counter-Adversarial C2 (CAC2) enabled C4I-Cyber-EMS (Electromagnetic Spectrum) based Control Doctrine to counter the challenges posed by the Adversary’s Unrestricted Warfare.

Keywords: Quantum Computing, Artificial Intelligence, Cryptography, Cybersecurity, Autonomy, Control, ABMS, JADC2, USAF, USSF, AIMLExchange, C4I-Cyber, US Air Force, US Space Force. Show less

Project Summary/Abstract Response to Problem:

Our research objective is making quantum computing real with Qiskit for USAF-Pentagon JADC2 (Joint All Domain Command & Control) thus contributing to USAF-DoD core missions. JADC2 is the US Air Force led and Joint Staff coordinated key effort central to Joint Services C4I-ISR and C2 (Command & Control) integration enabling the new Joint Warfighting Concept for All-Domain Operations. The resulting ‘New American Way of War’ is anticipated to… Show more

Project Summary/Abstract Response to Problem:

Our research objective is making quantum computing real with Qiskit for USAF-Pentagon JADC2 (Joint All Domain Command & Control) thus contributing to USAF-DoD core missions. JADC2 is the US Air Force led and Joint Staff coordinated key effort central to Joint Services C4I-ISR and C2 (Command & Control) integration enabling the new Joint Warfighting Concept for All-Domain Operations. The resulting ‘New American Way of War’ is anticipated to yield “significant advantage over everybody in the world for a long time” according to the Vice-Chairman of the Joint Chiefs General John Hyten .

Project Narrative:

Research Objective: The research objective of the current white paper is on making quantum computing real with Qiskit for USAF-Pentagon JADC2 (Joint All Domain Command & Control). It’s inspired by PI’s recent invited interviews seeking his interest in the roles of the United States Air Force (USAF) Chief Scientist at Pentagon, and C-Suite industry leadership in Quantum Computing for the IBM Q Team. JADC2 is the US Air Force led and Joint Staff coordinated key effort central to Joint Services C4I-ISR and C2 (Command & Control) integration enabling the new Joint Warfighting Concept for All-Domain Operations. The resulting ‘New American Way of War’ is anticipated to yield “significant advantage over everybody in the world for a long time” according to the Vice-Chairman of the Joint Chiefs General John Hyten . Qiskit is an open-source framework and software development kit (SDK) for quantum computing. It provides tools for creating and manipulating quantum programs and running them on prototype quantum devices on IBM Q Experience or on simulators on a local computer . It is the first real-world Quantum Computing programming environment to be tested live with thousands of global users recently in course of IBM’s first virtual Qiskit Global Summer School held over recent two weeks. Show less

SSRN 72 Top-10 Research Rankings, Top 1% SSRN Authors:
SSRN: Top-10 Research Rankings Paper: Total & Counting:

The Survival & Sustainability of Systems at all levels which is at stake and the respective critical significance of Command & Controls - spanning global, national, organizational, individual, and, even human cellular levels of analysis - has been recognized globally as never before on the COVID-19 pandemic "global theater". The respective role of such Command & Controls… Show more

SSRN 72 Top-10 Research Rankings, Top 1% SSRN Authors:
SSRN: Top-10 Research Rankings Paper: Total & Counting:

The Survival & Sustainability of Systems at all levels which is at stake and the respective critical significance of Command & Controls - spanning global, national, organizational, individual, and, even human cellular levels of analysis - has been recognized globally as never before on the COVID-19 pandemic "global theater". The respective role of such Command & Controls that are the most essential defining attributes of any self-adaptive System and its self-identity, self-regulation, and, self-direction have also been recognized in terms of determining the Sustainability and Survival of the respective Systems. For preempting and preventing future similar global threats such as COVID-19, we need to develop and deploy Adversarial C2 systems to stress test the robustness of C2 for respective Systems as well as Counter-Adversarial C2 to counter the adversarial threats. Our latest Global Command & Control Network venture being developed as a United States Air Force (USAF) Air Force Research Lab (AFRL) Commercialization Academy venture C4I-Cyber (TM) Global Risk Management Network (C4I-Cyber.com) fulfills this mission. Show less

USAF-Pentagon: Recent Invited Interviews for the USAF Chief Scientist, Pentagon

• USAF-Pentagon S&T R&D Strategy: 2030 & Beyond: Beyond JADC2
• USAF Joint Domain Operations: Air-Space-CyberSpace-EMS: Beyond JADC2: JADAC2-JADCAC2
• USAF-AFRL Quantum Defense Summit, AFRL-AFCEA C4I-Cyber, NYS-Cyber

Our venture's dual objective is to advance most optimal strategic & technological development and most optimal risk management for the USAF-Pentagon JADC2 (Joint All Domain Command &… Show more

USAF-Pentagon: Recent Invited Interviews for the USAF Chief Scientist, Pentagon

• USAF-Pentagon S&T R&D Strategy: 2030 & Beyond: Beyond JADC2
• USAF Joint Domain Operations: Air-Space-CyberSpace-EMS: Beyond JADC2: JADAC2-JADCAC2
• USAF-AFRL Quantum Defense Summit, AFRL-AFCEA C4I-Cyber, NYS-Cyber

Our venture's dual objective is to advance most optimal strategic & technological development and most optimal risk management for the USAF-Pentagon JADC2 (Joint All Domain Command & Control) thus contributing to USAF-DoD core missions. JADC2 is the US Air Force led and Joint Staff coordinated key effort central to Joint Services C4I-ISR and C2 (Command & Control) integration enabling the new Joint Warfighting Concept for All-Domain Operations. The resulting ‘New American Way of War’ is anticipated to yield “significant advantage over everybody in the world for a long time” according to the Vice-Chairman of the Joint Chiefs General John Hyten .

It advances upon USAF-AFRL Commercialization Academy ventures bridging Artificial Intelligence (AI) / Machine Learning (ML), Cybersecurity, and Quantum Computing. These AI-ML-Quant-Cyber-Crypto-Quantum Risk Engineering and Resilience ventures advance risk engineering and resilience focus on Artificial Intelligence/Machine Learning, Cybersecurity, and Quantum Computing technologies for applications to support communication and networking. These strategic Science & Technology (S&T) Research & Development (R&D) ventures also represent the strategic transformation blueprints for leading the execution of the Air Force Science & Technology Strategy for 2030 and Beyond. Execution of the USAF S&T Strategy for 2030 and Beyond, as explained by USAF Secretary Heather Wilson, USAF Chief Scientist Dr. Richard Joseph, and ISR special advisor Mark Tapper, is aligned with these S&T R&D ventures leading global strategic transformations. Show less

2020 USAF-AFRL Commercialization Academy Venture, C4I-Cyber, AI-ML-Quant-Cyber-Crypto-Quantum Computing Resilience, Sustainability, and Business Continuity leadership for C-suite teams from startups to trillion dollar firms to build and sustain AI-Quantum technologies and enterprises that can withstand historically unprecedented uncertainty & complexity.

> Advances upon the three annual presentations at Princeton Quant conferences on AI, Machine Learning, Deep Learning, Cybersecurity,… Show more

2020 USAF-AFRL Commercialization Academy Venture, C4I-Cyber, AI-ML-Quant-Cyber-Crypto-Quantum Computing Resilience, Sustainability, and Business Continuity leadership for C-suite teams from startups to trillion dollar firms to build and sustain AI-Quantum technologies and enterprises that can withstand historically unprecedented uncertainty & complexity.

> Advances upon the three annual presentations at Princeton Quant conferences on AI, Machine Learning, Deep Learning, Cybersecurity, Cryptography & Encryption, Quantum Computing & Quantum Cryptography sponsored by firms such as Goldman Sachs and Citadel and Princeton University and held at Princeton University.

• 2019 USAF-AFRL Commercialization Academy Venture, AIMLExchange, AI-ML-Quant-Cyber-Crypto-Quantum Computing Risk Engineering based Processes Optimization leadership for global C-suite teams from startups to trillion dollar firms to save up to 90% Time, Cost, and, Labor building upon cohesive global practice frameworks leading global industry practices for 25-years.

> Advances upon industry expert leadership of MIT Sloan School of Management and the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) Management and Leadership AI & Strategy program for global C-suite and industry leaders including 200 industry executives from global firms such as Google, Microsoft, and, Tesla. Show less

Position Paper: Air Force Research Lab-Rome Reps-Griffiss Institute: Discussion with Congressman Brindisi.
Will All Roads in Quantum Computing in Future Lead to Rome, New York?
https://lnkd.in/eG9mJsa: It's our privilege to have inspired the imagination of USAF AFRL Griffiss Institute colleagues when we asked the above question at the Quantum Defense Summit Roundtable with Congressman Brindisi organized by CNY Defense Alliance-Griffiss Institute: https://lnkd.in/ePVnqA3.

Artificial Intelligence Expert Interview: Interviewer: Paul Capon, The Innovation Community (UK): Beyond Innovator's Dilemma to Innovator's Insight: Beyond Data to Business Performance:

"We are what we repeatedly do. Innovation, then, is not an act, but a habit."
- Dr. Yogesh Malhotra, Founder, Global Risk Management Network, LLC. -

http://AIMLExchange.com/InnovationCommunity/DrYogeshMalhotra.mp4
Also, via LinkedIn: https://lnkd.in/eN-vWUs .

From Beta of First WWW… Show more

Artificial Intelligence Expert Interview: Interviewer: Paul Capon, The Innovation Community (UK): Beyond Innovator's Dilemma to Innovator's Insight: Beyond Data to Business Performance:

"We are what we repeatedly do. Innovation, then, is not an act, but a habit."
- Dr. Yogesh Malhotra, Founder, Global Risk Management Network, LLC. -

http://AIMLExchange.com/InnovationCommunity/DrYogeshMalhotra.mp4
Also, via LinkedIn: https://lnkd.in/eN-vWUs .

From Beta of First WWW Browser to What Became Digital Transformation to where AI is Headed Next .

Published, Dec 30, 2019:
http://theinnovationcommunity.libsyn.com/the-innovation-community-podcast-6-yogesh-malhotra-ai-machine-learning-expert .

I enjoyed the interview with Paul as well as connecting the dots spanning 25-years from the beta of the first WWW browser to what became Digital Transformation to where AI is headed next. The latest interview connects the dots from early 1990s such as when Tom Petzinger interviewed me for The Wall Street Journal over hosted lunch while I was concluding my PhD. We also briefly touched on one of my earliest plenary keynotes* to the Silicon Valley Tech community where I met the world-known Silicon Valley venture capitalist and then made my very first pitch for a $1 Billion investment.

Fast Company: Nerds Need Apply:
"If @Brint doesn't have it, then you probably don't need it."
@Brint Network was the original name of our Digital ventures:
https://www.fastcompany.com/39678/nerds-need-apply

FinRM™ We create the Digital Future™:

MIT AI-ML Executive Guide: https://lnkd.in/eaEfvZv
Princeton Quant Presentations: https://lnkd.in/eijBfHA
Goldman Sachs-JP Morgan-Hedge Funds: https://lnkd.in/ePyWXd5
AFRL-USAF HQ Leading Global AI-ML: https://lnkd.in/eTDKbSk
Digital-Quant-Cyber-Crypto-Quantum Practices: https://lnkd.in/eR6439j
R&D: Real Impact Among Nobel Laureates: https://lnkd.in/eQAR3rd . Show less

Having led Silicon Valley 20-Years Ago, New York firm ups the Global Bar to Quantum:

2019: New York State IDEA Awards Finalist: AIMLExchange™: Air Force Research Lab Commercialization Academy:
U.S. Air Force: Air Force Research Lab Commercialization Academy, Griffiss Institute
Rome firm among six finalists in Commercialization Academy: Rome Sentinel, Rome, New York, USA:
https://romesentinel.com/stories/rome-firm-among-six-finalists-in-commercialization-academy,83445

Save… Show more

Having led Silicon Valley 20-Years Ago, New York firm ups the Global Bar to Quantum:

2019: New York State IDEA Awards Finalist: AIMLExchange™: Air Force Research Lab Commercialization Academy:
U.S. Air Force: Air Force Research Lab Commercialization Academy, Griffiss Institute
Rome firm among six finalists in Commercialization Academy: Rome Sentinel, Rome, New York, USA:
https://romesentinel.com/stories/rome-firm-among-six-finalists-in-commercialization-academy,83445

Save 90% Time, Cost, & Effort in Digital Execution!
AIMLExchange™ Global Hi-Tech Digital CEOs-CxOs Network Platform: We Enable Global Hi-Tech Digital CEO-CxO Teams by "accelerating business performance" and "minimizing execution risk" in Knowing-Building-Monetizing™ global Digital, AI, ML, Quant, Cyber, Crypto & Quantum Practices, Technologies, Teams & Ventures.
'Your Survival Network for The Brave New World Of Business'™
“The best way to predict the future is to create it.” —Peter Drucker
We Create the Digital Future™ ...Doing So Since Beginning of the WWW...
Join Us on LinkedIn! What Got AIMLExchange™ Started:
"Do Something Epic: Save the World™" Show less

SSRN Top-10 R&D Ranking - Forensic Science Educator: Courses, Cases & Teaching eJournal, Oct 8, 2021.

The primary focus of the presentation is on helping advance intuitive understanding about AI-Machine Learning Augmentation and Cybersecurity. With great power comes great responsibility! In case of AI and Machine Learning technologies, the realization and application of such great power can yield unprecedented automation and optimization capabilities for developing more sophisticated… Show more

SSRN Top-10 R&D Ranking - Forensic Science Educator: Courses, Cases & Teaching eJournal, Oct 8, 2021.

The primary focus of the presentation is on helping advance intuitive understanding about AI-Machine Learning Augmentation and Cybersecurity. With great power comes great responsibility! In case of AI and Machine Learning technologies, the realization and application of such great power can yield unprecedented automation and optimization capabilities for developing more sophisticated cybersecurity and cyber risk management capabilities. However, the same AI and Machine Learning technologies also provide the ‘adversary’ with unprecedented deception, manipulation, and, attack capabilities to launch much more sophisticated cyberattacks with unprecedented destructive power. Furthermore, for designers, developers, and, users of AI and Machine Learning technologies, greater responsibility is needed not only for acutely recognizing the limitations of underlying mathematical models and algorithms but also for smartly deploying human imagination, intuition, and, insight to make up for the mechanistic limitations inherent in the design of the machines and related automation technologies.

Keywords: AI, Artificial Intelligence, Machine Learning, Augmentation, Governance, Cybersecurity, Risk Management, Interpretability, Adversarial Risks: Show less

MINIMIZING THE DOWNSIDE RISKS OF AI AND MACHINE LEARNING
Published: 29 April 2019
YOGESH MALHOTRA | Chief Scientist and Executive Director, Global Risk Management Network, LLC

This article discusses how model risk management in operationalizing machine learning or algorithm deployment can be applied in national systemic and cyber risk management projects such as Project Maven.

After an introduction about why model risk management is crucial to robust AI, ML, deep learning… Show more

MINIMIZING THE DOWNSIDE RISKS OF AI AND MACHINE LEARNING
Published: 29 April 2019
YOGESH MALHOTRA | Chief Scientist and Executive Director, Global Risk Management Network, LLC

This article discusses how model risk management in operationalizing machine learning or algorithm deployment can be applied in national systemic and cyber risk management projects such as Project Maven.

After an introduction about why model risk management is crucial to robust AI, ML, deep learning, and neural networks deployment, the article presents a knowledge management framework for model risk management to advance beyond ‘AI automation’ to ‘AI augmentation.’

PDF: https://www.capco.com/-/media/CapcoMedia/PDFs/Capco_Journal_49_Malhotra_AI-Augmentation.ashx .

HTML: https://www.capco.com/Capco-Institute/Journal-49-Alternative-Capital-Markets/AI-AUGMENTATION-FOR-LARGE-SCALE-GLOBAL-SYSTEMIC-CYBER-RISK-MANAGEMENT-PROJECTS Show less

2018 CFA Society: Invited Keynote: Hedge Funds Chief Investment Officer Practices: JP Morgan & Goldman Sachs: AI & Auto-ML.

We introduce Risk Management Models using JP Morgan’s pioneering focus on Investment Performance, Analytics, and Risk. We build understanding about Model Risks with focus on Value-at-Risk (VaR), the most prominent financial risk valuation models in use across global practices. AI & Machine Learning (ML) are introduced in terms of the Statistical Probabilistic… Show more

2018 CFA Society: Invited Keynote: Hedge Funds Chief Investment Officer Practices: JP Morgan & Goldman Sachs: AI & Auto-ML.

We introduce Risk Management Models using JP Morgan’s pioneering focus on Investment Performance, Analytics, and Risk. We build understanding about Model Risks with focus on Value-at-Risk (VaR), the most prominent financial risk valuation models in use across global practices. AI & Machine Learning (ML) are introduced in terms of the Statistical Probabilistic Analytics underlying the performance of such Models. We advance beyond Normality and Linearity assumptions with sophisticated Models while introducing Bayesian Inference as a complement to above models to mitigate Model Risks often attributed to Frequentist Methodologies. AI & ML Algorithms and Models from the JP Morgan AI-ML portfolio motivate focus on Big Data driven Automated Machine Learning to enable Model Risk Management inspired by Goldman Sachs’ pioneering focus on Model Risk Management and Uncertainty Management. Advancing beyond Risk to Uncertainty which is increasingly characterizing emerging global financial markets, we underscore the need for Augmented Intelligence characterizing Smart Minds smartly using Smart Tools with illustrative cases and examples.

Keywords: CFA, Hedge Funds, Chief Investment Officer, Model Risk Management, Auto Machine Learning, JP Morgan, Goldman Sachs Show less

AI, Machine Learning & Deep Learning Risk Management & Controls: Beyond Deep Learning and Generative Adversarial Networks: Model Risk Management in AI, Machine Learning & Deep Learning
Paper Accepted for Presentation at the 2018 Armed Forces Communications and Electronics Association (AFCEA) C4I and Cyber Conference, Erie Canal Chapter, New York, June 19 & 20, 2018.

Abstract
The current paper proposes how model risk management in operationalizing machine learning for algorithm… Show more

AI, Machine Learning & Deep Learning Risk Management & Controls: Beyond Deep Learning and Generative Adversarial Networks: Model Risk Management in AI, Machine Learning & Deep Learning
Paper Accepted for Presentation at the 2018 Armed Forces Communications and Electronics Association (AFCEA) C4I and Cyber Conference, Erie Canal Chapter, New York, June 19 & 20, 2018.

Abstract
The current paper proposes how model risk management in operationalizing machine learning for algorithm deployment can be applied in national C4I and Cyber projects such as Project Maven. It builds upon recent leadership of global Management and Leadership industry executives for AI and Machine Learning Executive Education for MIT Sloan School of Management and the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) and invited presentations at Princeton University. After building understanding about why model risk management is most crucial to robust AI, Machine Learning, Deep Learning, and, Neural Networks deployment, it introduces a Knowledge Management Framework for Model Risk Management to advance beyond ‘AI Automation’ to ‘AI Augmentation.’

Keywords: Project Maven, AI, Artificial Intelligence, Machine Learning, Deep Learning, Neural Networks, Model Risk Management, Knowledge Management, AI Augmentation, AI Automation Show less

AI, Machine Learning & Deep Learning Risk Management & Controls: Beyond DL and GANs:

Abstract

The European Parliament Think Tank's Research Policy document 'Should we fear artificial intelligence?' reflects the ongoing mainstream debate between the Utopian and Dystopian aspects of AI and Machine Learning. "Powerful AIs can in principle be given nearly any goal, which is a source of both risk and opportunity. There are myriad possible malicious uses of AI and many ways in which it… Show more

AI, Machine Learning & Deep Learning Risk Management & Controls: Beyond DL and GANs:

Abstract

The European Parliament Think Tank's Research Policy document 'Should we fear artificial intelligence?' reflects the ongoing mainstream debate between the Utopian and Dystopian aspects of AI and Machine Learning. "Powerful AIs can in principle be given nearly any goal, which is a source of both risk and opportunity. There are myriad possible malicious uses of AI and many ways in which it might be used in a harmful manner unintentionally, such as with algorithmic bias. Perhaps most fundamentally, the control problem will have to be addressed – that is, we will need to learn how to ensure that AI systems achieve the goals we want them to without causing harm during their learning process, misinterpreting what is desired of them, or resisting human control." Third in the series of the Princeton Presentations on AI and Machine Learning Risk Management & Control Systems, the current presentation develops fundamental guidance on the design, development, and implementation of AI, Machine Learning, and Deep Learning Models and Methods.

The 2018 Princeton presentation will focus on "the control problem" which is a critical prerequisite for AI systems to have positive impacts by further developing upon my prior two presentations that pioneered Cyber-Finance-Trust™ Model Risk Management & Model Risk Arbitrage™ practices at prior Princeton Quant Trading Conferences. Starting with the first technical report on the Bitcoin Blockchain Cryptographic Proof of Work; spanning latest developments in AI, Machine, Learning, Deep Learning, and, Generative Adversarial Networks; and, hedge fund algorithmic trading, the presentation generates interesting insights about the most critical role of risk management controls. Such role of risk management controls is most critical in not only getting the best out of AI, but also ensuring that the worst fears about the AI do not really come true. Show less

AI, AI Strategies, AI Technologies, AI Algorithms, Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing, NLP, Robotics, Robotic Process Automation, RPA, Cognitive Automation:

The MIT-AI Strategy Executive Guide is inspired by many of the Management & Leadership Industry Executives in the MIT-AI Learning Communities of Practice of which I am the Learning Facilitator. The experience of leading the global industry leaders in pioneering AI & ML industry… Show more

AI, AI Strategies, AI Technologies, AI Algorithms, Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing, NLP, Robotics, Robotic Process Automation, RPA, Cognitive Automation:

The MIT-AI Strategy Executive Guide is inspired by many of the Management & Leadership Industry Executives in the MIT-AI Learning Communities of Practice of which I am the Learning Facilitator. The experience of leading the global industry leaders in pioneering AI & ML industry practices in respective firms and industries also provides an outstanding opportunity for enhancing the MIT Sloan and MIT C-SAIL Faculty Curriculum supported by in-depth supplementary resources included in this guide. More than 300 of the in-depth supplementary resources are included in this guide arranged over the weekly Module-by-Module Curriculum followed and related online discussions. That experience is founded upon 20-year applied and industrial R&D in advancing global Knowledge Management, and, AI & Machine Learning practices. The earliest milestone of that journey that I recall was the communication of 1995 with the Genetic Algorithms pioneer Dr. John Holland. At that time, he was at the Santa Fe Institute, the Nobel laureates’ think tank on Complexity Theory and Self-Adaptive Systems, themes on which our Digital ventures were recognized by the Wall Street Journal and New York Times as global benchmarks for industry practices. Dialog with Holland inspired the top-ranked journal paper on AI & Machine Learning in the Expert Systems with Applications journal which stimulated attention of world's smartest intelligence agencies at the time. That paper and the related R&D program guiding worldwide practices on Digital Transformation underpin some of the central issues advancing the design of AI & Machine Learning 'sense-making' systems as evident in latest developments in AI, Machine Learning, Deep Learning R&D including the latest advances such as in Generative Adversarial Networks. Show less

MARCH 2018: PAGES: 77-99 DOI: 10.21314/JOP.2018.201 FIRST PUBLISHED: 26 MARCH 2018 Bridging networks, systems and controls frameworks for cybersecurity curriculums and standards development.
ABSTRACT Applied cybersecurity practices in private and public industry in the United States are transitioning to an overall focus on cyber risk management. Hence, it is necessary to align the information technology (IT) cybersecurity application standards of professional associations and related… Show more

MARCH 2018: PAGES: 77-99 DOI: 10.21314/JOP.2018.201 FIRST PUBLISHED: 26 MARCH 2018 Bridging networks, systems and controls frameworks for cybersecurity curriculums and standards development.
ABSTRACT Applied cybersecurity practices in private and public industry in the United States are transitioning to an overall focus on cyber risk management. Hence, it is necessary to align the information technology (IT) cybersecurity application standards of professional associations and related educational curriculums with emerging applications in practice. Current standards and educational curriculums seem fragmented across network protocols and network analysis tool frameworks (NPNATFs); systems and networks infrastructure frameworks (SNIFs); and risk management and controls policy frameworks (RMCPFs). This paper develops an applied framework for aligning, integrating and streamlining standards and curriculums across all three levels, aligning them with the needs of applied risk management practice. A cyber risk management framework is developed with a focus on voice over internet protocol (VoIP) networks. These networks have been gaining central prominence across diverse industries, such as global banking and finance, over the past decade. Despite their central role (in both technological and economic terms), sparse attention has been given to their critical vulnerabilities – described as the “weakest links” in global banking and finance networks – as is evident from cybersecurity and penetration testing. This paper demonstrates the contribution of the proposed cyber risk management framework in addressing such critical gaps in global banking and finance cybersecurity and information assurance practices. The latter constitutes an example application of the proposed framework; it is extendable to multiple other industries including health care. Show less

Drawing upon insights shared in the MIT: AI & Machine Learning: Management and Leadership learning community of practice, the current Intelligence, Surveillance, Reconnaissance (ISR) presentation advances the focus on "collective intelligence of people and computers" in the context of Cognitive Computing for Anticipatory Risk Analytics in Intelligence, Surveillance, & Reconnaissance (ISR). It defines as well as distinguishes multi-level Cognitive Computing process engineering frameworks of… Show more

Drawing upon insights shared in the MIT: AI & Machine Learning: Management and Leadership learning community of practice, the current Intelligence, Surveillance, Reconnaissance (ISR) presentation advances the focus on "collective intelligence of people and computers" in the context of Cognitive Computing for Anticipatory Risk Analytics in Intelligence, Surveillance, & Reconnaissance (ISR). It defines as well as distinguishes multi-level Cognitive Computing process engineering frameworks of Artificial Intelligence (AI) & Machine Learning as applied in KM practices of US and worldwide firms, governments, and ISR agencies from Cognitive-Neuromorphic Chips. A recent IEEE Spectrum report also published as "The Neuromorphic Chip's Make-or-Break Moment" observes that "Neuromorphic Chips Are Destined for Deep Learning—or Obscurity" given that the Neuromorphic Chip researchers "have hitched their wagon to deep learning's star." Drawing upon insights on Model Risk Management and Anticipatory Risk Analytics focus of top Wall Street investment banks and hedge funds beyond the Global Financial Crisis currently guiding national and global Cyber Risk Insurance industry practices, we demonstrate how Model Risk Management (MRM) and Anticipatory Risk Analytics are even more critical in the global and national domains of Intelligence, Surveillance, Reconnaissance (ISR). The first operational use of AI and Deep Learning AI technologies in the Defense Intelligence Enterprise led by Project Maven and Algorithmic Warfare Cross-Functional Team is used as a case study for illustrating how Anticipatory Risk Analytics & MRM assume even greater significance at the intersections of Space and Cyberspace wherein Offensive and Defensive Cybersecurity strategies, such as discussed in the recent 2015 and 2016 presentations at the Princeton Quant Trading Conference, are deployed. Show less

Mainstream insurance industry practices have adopted Value-at-Risk (VaR) from global financial industry as the pre-dominant cyber insurance model being oblivious to both distinguishing characteristics of cyber-risks as well as statistical properties of VaR. Such widespread misapplication of VaR for cyber risk insurance underwriting unless abated and corrected is expected to lead to a global cyber-insurance crisis that may dwarf the worldwide economic shock from the global financial crisis… Show more

Mainstream insurance industry practices have adopted Value-at-Risk (VaR) from global financial industry as the pre-dominant cyber insurance model being oblivious to both distinguishing characteristics of cyber-risks as well as statistical properties of VaR. Such widespread misapplication of VaR for cyber risk insurance underwriting unless abated and corrected is expected to lead to a global cyber-insurance crisis that may dwarf the worldwide economic shock from the global financial crisis. Given worldwide high impact of increasingly global cyber-attacks, the current paper advances cyber risk insurance underwriting model risk management beyond VaR to pre-empt and prevent the forthcoming global cyber-insurance crisis.

Note: National Association of Insurance Commissioners Expert Paper: Expert Paper prepared and submitted on the request of the National Association of Insurance Commissioners on June 24, 2017 with latest revision of December 07, 2017. The National Association of Insurance Commissioners (NAIC) is the U.S. standard-setting and regulatory support organization created and governed by the chief insurance regulators from the 50 states, the District of Columbia and five U.S. territories.

Keywords: Network Security, Measurement, Methods, Models, Risk, Uncertainty, Profit, Knight, VaR, Value-at-Risk, Quantitative Finance, Cyber Insurance, Cyber Risk, Cybersecurity Show less

Trust and trust management represent the very foundations of Computer and Network Security Protocols enabling all cyber activities. The recent spate of national and global high-impact cyber security compromises threats, vulnerabilities and exposures leads to fundamental questioning of trust as the key enabler of all cyber phenomena in the unfolding era of exponentially increasing distrust. It is, therefore, necessary to understand the current state of trust and trust management modeling and… Show more

Trust and trust management represent the very foundations of Computer and Network Security Protocols enabling all cyber activities. The recent spate of national and global high-impact cyber security compromises threats, vulnerabilities and exposures leads to fundamental questioning of trust as the key enabler of all cyber phenomena in the unfolding era of exponentially increasing distrust. It is, therefore, necessary to understand the current state of trust and trust management modeling and implementation in the most high security environments such as in defense and space. Such understanding can serve as a foundation for modeling, design and implementation of next-generation mobile wireless networks for other high security environments such as in banking and finance. This study attempts to understand how trust and trust management are being modeled for the next-generation wireless communication systems (NIST) such as autonomous self-discovering, self-organizing and self-adaptive mobile ad hoc networks. Within the context of Network-Centric Operations (NCO), the paper examines (i) the capabilities of next-generation wireless mobile ad hoc networks; (ii) how trust and trust management are modeled in such mobile ad hoc networks; and (iii) how trust and trust management are implemented in trust-based task assignment in tactical networks. US Army Research Laboratory (ARL) Computational and Information Sciences Directorate’s Network Science research program on wireless mobile ad hoc networks is the focus of the case study.

Keywords: Wireless mobile ad hoc networks, Network security, Trust management protocols, Trust and Trust management modeling, Trust and trust management metrics Show less

CyberFinance: Why Cybersecurity Risk Analytics Must Evolve to Survive 90% of Emerging Cyber Financial Threats, and, What You Can Do About It? Advancing Beyond 'Predictive' to 'Anticipatory' Risk Analytics:
The primary focus of the presentation is on helping advance insights of auditors, business managers, critical infrastructure owners, educators, executives, information security professionals, forensic specialists, IT professionals, law enforcement, process improvement managers, and… Show more

CyberFinance: Why Cybersecurity Risk Analytics Must Evolve to Survive 90% of Emerging Cyber Financial Threats, and, What You Can Do About It? Advancing Beyond 'Predictive' to 'Anticipatory' Risk Analytics:
The primary focus of the presentation is on helping advance insights of auditors, business managers, critical infrastructure owners, educators, executives, information security professionals, forensic specialists, IT professionals, law enforcement, process improvement managers, and project managers about the emerging contours of Cyber Risk which is increasingly intertwined with Financial Risk. Using the metaphor of the iceberg with 90% of emerging cyber financial threats invisible to human eye, it sheds light on emerging Cyber risks that threaten the Financial survival of national and regional economies, global and local business enterprises, information infrastructure entities as well as individuals. Backed by research ranked for worldwide impact among Finance and IT Nobel laureates, this presentation will help you see Cyber risk and its implication for Finance at various levels like you have never seen before. It advances upon industry-leading research that recently developed robust foundation of global Cyber Risk Insurance standards with oversight of Cybersecurity experts affiliated with U.S. Air Force Research Lab and New York State Cyber Research Institute. The presentation builds upon global leadership of professional hi-tech practices in global Banking and Finance industry over the recent 25 years with most recent risk analytics leadership for top Wall Street investment banks such as JP Morgan, FinTech risk analytics ventures with CxO clients and patrons such as Goldman Sachs, and, prior global leaderships for Big Banks such as Bank of America and Big-3 IT firms leading global financial systems development for worldwide Banking & Finance firms. Show less

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

Research Presentation at: 2016 Princeton Quant Trading Conference:

Current research presentation at the Princeton Quant Trading Conference proposes two new financial innovations and their interrelationships: ‘Model Risk Arbitrage’ for ‘Open Systems… Show more

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

Research Presentation at: 2016 Princeton Quant Trading Conference:

Current research 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. Show less

Future of Finance Beyond 'Flash Boys': Risk Modeling for Managing Uncertainty in an Increasingly Non-Deterministic Cyber World: Knight Reconsidered: Risk, Uncertainty, and Profit for the Cyber Era:

We reconsider Knight's Risk, Uncertainty, and Profit of 1921 in light of the emergence of the World Wide Web in early-1990s, Emanuel Derman's pioneering work in Model Risk Management at Goldman Sachs in mid-1990s.

Based upon review of related financial risk modeling practices and… Show more

Future of Finance Beyond 'Flash Boys': Risk Modeling for Managing Uncertainty in an Increasingly Non-Deterministic Cyber World: Knight Reconsidered: Risk, Uncertainty, and Profit for the Cyber Era:

We reconsider Knight's Risk, Uncertainty, and Profit of 1921 in light of the emergence of the World Wide Web in early-1990s, Emanuel Derman's pioneering work in Model Risk Management at Goldman Sachs in mid-1990s.

Based upon review of related financial risk modeling practices and exponentially increasing Cyber era uncertainty, we help advance mainstream Finance practices of risk modeling and uncertainty management to enable them to meet the needs of Cyber-Finance which is the emerging Future of Finance. It will help Finance researchers and practitioners recognize that the current mainstream focus of financial risk modeling is on the metaphorical 'tip' of the iceberg, with significant risks that may not as readily meet the human eye.

With its information-based view on cyber-risk as the predominant risk that will subsume most traditional financial risks such as credit risks and market risks, it will help them recognize the exponentially increasing tail risks and systemic risks characterizing the highly systemic, interdependent, and correlated cyber risks which in turn characterize financial risks. Based on research of two-decades started around the emergence of the WWW on how to 'anticipate surprise' when ‘prediction’ of risk is infeasible, it explores advances in quantitative risk models, statistical methodologies, and, computational statistical technologies to facilitate dialog on the above issues of central concern to both the Future of Finance and the Future of Risk.

Keywords: Model Risk Management, Value at Risk, VaR, T-VaR, ES, GARCH, ARCH, EVT, Power Laws, Bayesian Inference, Markov Chain Monte Carlo Models, FIX, FAST, Cyber Finance, Cyber Risk, Risk Modeling, Knightian Uncertainty Management, Uncertainty Modeling, Cyber Warfare, HFT, High Frequency Trading Show less

The keynote presentation addressed to a national group of senior Fortune 100 practice leaders including Chief Security Officers focuses on emerging trends in Enterprise Risk Management (ERM). The keynote elucidates the Cyber-Finance-Trust TM Framework developed to facilitate applied intuition about how ongoing digitization, virtualization, and transformation of inter- and intra-enterprise networks are contributing to the convergence of Financial Risk Management and Cyber Risk Management. It… Show more

The keynote presentation addressed to a national group of senior Fortune 100 practice leaders including Chief Security Officers focuses on emerging trends in Enterprise Risk Management (ERM). The keynote elucidates the Cyber-Finance-Trust TM Framework developed to facilitate applied intuition about how ongoing digitization, virtualization, and transformation of inter- and intra-enterprise networks are contributing to the convergence of Financial Risk Management and Cyber Risk Management. It helps senior executives better understand the emergence of Cyber-Finance Risk Management that is anticipated to subsume most traditional risks generally treated in isolation such as various Financial Risks and Operational Risks. Based on a comprehensive review of most recent Cyber Security and Risk Management trends in two key sectors – Banking & Finance, and, Healthcare – it facilitates understanding about latest vulnerabilities, threats, and risk assessment and risk mitigation strategies. Advancing beyond computational quantitative analytical risk assessment models found deficient during the global financial crisis, it helps better understand the key role of the ‘human factor’ while relating it to coherent People, Process, and Technology frameworks underlying ERM. To facilitate more precise and accurate Risk Assessment and Risk Modeling for Cyber-Finance Risk Management, the concluding section provides an overview of author’s related research that developed robust foundations for Cyber Risk Insurance (CRI) Modeling. Advancing upon research and practice in CRI Modeling, to help prepare the senior executives responsible for Risk Management and Cybersecurity, the presentation delineates the computational quantitative analytical risk assessment models suitable for catastrophic risks assessment which are increasingly material to ongoing viability and sustenance of any enterprise.

Keywords: Cyber Finance, Cyber Economics, Cyber Risk, Cyber Risk Modeling, Cyber Risk Loss Valuation Show less

By adopting and integrating the 3 levels of specific frameworks discussed herein, a financial institution can develop, maintain, improve, and sustain its enterprise risk management and compliance frameworks.

The proposed risk management framework identifies 3 levels for bridging the gaps in industry frameworks of prudent risk management and information assurance. Context-sensitive adaptation can be enabled by integration across vulnerability analysis and penetration testing embedded… Show more

By adopting and integrating the 3 levels of specific frameworks discussed herein, a financial institution can develop, maintain, improve, and sustain its enterprise risk management and compliance frameworks.

The proposed risk management framework identifies 3 levels for bridging the gaps in industry frameworks of prudent risk management and information assurance. Context-sensitive adaptation can be enabled by integration across vulnerability analysis and penetration testing embedded within overall systems and networks controls framework and risk management frameworks.

Given the discussed contexts of risk management, controls, and compliance frameworks, compliance can benefit from adapting the proposed framework to institution’s specific needs. Integration across the 3 levels of vulnerability analysis and penetration testing embedded within overall systems and networks controls and overarching risk management frameworks can facilitate such context-sensitive adaptation.

From perspective of the ISACA framework, vulnerability assessment and penetration testing can be embedded within IT audit framework of assessment of adequacy of internal controls for effective risk management and compliance.

Related Accepted Conference Paper: Bridging Networks, Systems and Controls Frameworks for Cybersecurity Curricula & Standards Development, 2015 NY Cyber Security & Engineering Technology Association Conference, Oct. 22, 2015 Rochester Institute of Technology, Rosica Hall, NTID, Rochester, New York (http://ssrn.com/abstract=2792636).

Keywords: IT Cybersecurity and Risk Management Compliance & Controls, Enterprise Risk Management, Model Risk Management, Cyber Finance, Risk Management, Cybersecurity and Penetration Testing, Professional Standards of Practice, Networks Protocols and Network Analysis, Systems and Networks Infrastructure Show less

Catastrophic Risk Modeling for Risk Strategy Execution: Extreme Risk Models and Methods: Cyber Finance to Cyber Warfare Risk Modeling for Managing Exponential Uncertainty and Complexity in Increasingly Non-Deterministic Cyberspace

State Street, 2015

Abstract
Recently, such probabilistic, statistical, and numerical methods related concerns are in globally popular press related to cybersecurity controls and compliance. Earlier, similar probabilistic, statistical, and numerical… Show more

Catastrophic Risk Modeling for Risk Strategy Execution: Extreme Risk Models and Methods: Cyber Finance to Cyber Warfare Risk Modeling for Managing Exponential Uncertainty and Complexity in Increasingly Non-Deterministic Cyberspace

State Street, 2015

Abstract
Recently, such probabilistic, statistical, and numerical methods related concerns are in globally popular press related to cybersecurity controls and compliance. Earlier, similar probabilistic, statistical, and numerical methods related concerns were in the global popular press in the context of the global financial crisis. Future questions focused on the underlying assumptions and logic may focus on related implications for compliance, controls, valuation, risk management, etc. Likewise, recent developments about mathematical entropy measures shedding new light on apparently greater vulnerability of prior encryption mechanisms may offer additional insights for compliance and control experts. For instance, given related mathematical, statistical and numerical frameworks, analysis may also focus on potential implications for pricing, valuation and risk models. The important point is that many such fundamental assumptions and logic underlying widely used probabilistic, statistical, and numerical methods may not as readily meet the eye.

Keywords: Risk Strategy, Risk Management, Risk Modeling, Catastrophic Risks, Extreme Risks, Extreme Value Theory, Cyber Finance, Cyberwar, Cybersecurity, Statistics, Probability, Quantitative Methods Show less

JP Morgan Funds of Funds Alternative Assets Portfolio Optimization With VaR, ES, CVAR, ARCH/GARCH and EVT Stress Testing: Beyond ‘Bayesian vs. VaR’ Dilemma to Empirical Model Risk Management: How to Manage Risk (After Risk Management Has Failed) for Hedge Funds

In aftermath of the Financial Crisis, some risk management practitioners advocate wider adoption of Bayesian inference to replace Value-at-Risk (VaR) models for minimizing risk failures (Borison & Hamm, 2010). They claim reliance… Show more

JP Morgan Funds of Funds Alternative Assets Portfolio Optimization With VaR, ES, CVAR, ARCH/GARCH and EVT Stress Testing: Beyond ‘Bayesian vs. VaR’ Dilemma to Empirical Model Risk Management: How to Manage Risk (After Risk Management Has Failed) for Hedge Funds

In aftermath of the Financial Crisis, some risk management practitioners advocate wider adoption of Bayesian inference to replace Value-at-Risk (VaR) models for minimizing risk failures (Borison & Hamm, 2010). They claim reliance of Bayesian inference on subjective judgment, the key limitation of Bayesian methodology as underscored by statisticians (Kass & Raftery, 1995; Kruschke, 2011; Lynch, 2007), as the most significant advantage compared with VaR (Christoffersen, 2012). Despite its well-known limitations, just like all other quantitative models (Derman, 1996; Morini, 2011), VaR – [mostly] non-Bayesian and [increasingly] Bayesian – continues to be a key methodological foundation of risk management and regulation related risk modeling practices in global Finance (Danielsson et al., 2014; Zangari, 1996). Bayesian inference modeling and VaR modeling frameworks are outlined to facilitate model risk management (Derman, 1996; Morini, 2011; US Fed & OCC, 2011) for minimizing risk of any model – Bayesian, VaR, or Bayesian VaR. VaR frameworks are empirically applied for hedge fund risk modeling (Darbyshire & Hampton, 2012, 2014) of a multi-asset fund of funds portfolio of a large Wall Street investment bank. Multiple risk models and measures with transparent assumptions to cross-validate convergent findings across multiple levels of risk analysis are examined for empirical model risk management.

Keywords: Model Risk Management, Risk Modeling, Bayesian Inference, VaR, Portfolio Construction, Portfolio Optimization, Fund of Funds, Hedge Funds. Show less

Quantitative Modeling of Trust and Trust Management Protocols in Next Generation Social Networks Based Wireless Mobile Ad Hoc Networks

Abstract
Trust and Trust Management represent the very foundations of Computer and Network Security Protocols enabling all cyber activities. Recent spate of national and global high-impact Cyber Security compromises, threats, vulnerabilities, and exposures leads to fundamental questioning of Trust as the key enabler of all cyber phenomena in the… Show more

Quantitative Modeling of Trust and Trust Management Protocols in Next Generation Social Networks Based Wireless Mobile Ad Hoc Networks

Abstract
Trust and Trust Management represent the very foundations of Computer and Network Security Protocols enabling all cyber activities. Recent spate of national and global high-impact Cyber Security compromises, threats, vulnerabilities, and exposures leads to fundamental questioning of Trust as the key enabler of all cyber phenomena in the unfolding era of exponentially increasing Distrust. It is therefore necessary to understand the current state of Trust and Trust Management modeling and implementation in the most high security environments such as in Defense & Space. Such understanding can serve as a foundation for modeling, design, and implementation of next generation mobile wireless networks for other high security environments such as in Banking & Finance. This study attempts to understand how Trust and Trust Management are being modeled for the “next generation wireless communication systems” (NIST) such as autonomous self-discovering, self-organizing, and self-adaptive mobile ad hoc networks. Within the context of Network-Centric Operations (NCO), we examine: (i) the capabilities of next generation wireless mobile ad hoc networks; (ii) how trust and trust management are modeled in such mobile ad hoc networks; and, (iii) how trust and trust management are implemented in trust-based task assignment in tactical networks. US Army Research Lab (ARL) Computational and Information Sciences Directorate’s Network Science research program on wireless mobile ad hoc networks is the focus of our case study.

Keywords: Wireless Mobile Ad Hoc Networks, Network Security, Trust Management Protocols, Trust and Trust Management Modeling, Trust and Trust Management Metrics Show less

Markov Chain Monte Carlo Models, Gibbs Sampling, & Metropolis Algorithm for High-Dimensionality Complex Stochastic Problems

Abstract
Markov chain Monte Carlo (MCMC) methods have an important role in solving high dimensionality stochastic problems characterized by computational complexity. Given their critical importance, there is need for network and security risk management research to relate the MCMC quantitative methodological concerns with network and security risk applications… Show more

Markov Chain Monte Carlo Models, Gibbs Sampling, & Metropolis Algorithm for High-Dimensionality Complex Stochastic Problems

Abstract
Markov chain Monte Carlo (MCMC) methods have an important role in solving high dimensionality stochastic problems characterized by computational complexity. Given their critical importance, there is need for network and security risk management research to relate the MCMC quantitative methodological concerns with network and security risk applications. This article contributes to that research stream. The core quantitative methodological focus of the article is on Monte Carlo Models and MCMC Algorithms, Gibbs Sampling and Metropolis-Hastings Algorithm. Network and security risk management application focus is on how MCMC methods help solve previously unsolvable problems in computational statistical modeling of cryptography, cryptanalytics, and penetration testing; intrusion detection & prevention and anomaly detection; and, privacy in anonymity systems and social networks. Future quantitative methods applied research and development in MCMC and computational statistical computing to address systemic risk and model risk management is recommended.

Keywords: Bayesian Inference, Markov chain, Monte Carlo, High Dimensional Problems, High Dimensional Stochastics, Statistical Computing Algorithms, Metropolis-Hastings algorithm, Gibbs Sampling algorithm Show less

A Risk Management Framework for Penetration Testing of Global Banking & Finance Networks VoIP Protocols

Abstract
According to computer scientists at Columbia University, “A vulnerability inside all current Cisco IP phones allows hackers to take complete control of the devices… It’s relatively easy to penetrate any corporate phone system, any government phone system…” reported IEEE Spectrum article. Multiple news sources and blog ‘Cisco Phone Hack’ of computer security expert Bruce… Show more

A Risk Management Framework for Penetration Testing of Global Banking & Finance Networks VoIP Protocols

Abstract
According to computer scientists at Columbia University, “A vulnerability inside all current Cisco IP phones allows hackers to take complete control of the devices… It’s relatively easy to penetrate any corporate phone system, any government phone system…” reported IEEE Spectrum article. Multiple news sources and blog ‘Cisco Phone Hack’ of computer security expert Bruce Schneier noted: “All current Cisco IP phones, including the ones seen on desks in the White House and aboard Air Force One, have a vulnerability that allows hackers to take complete control of the devices.”

Voice over Internet Protocol based networks have been gaining central prominence in global banking and finance industry over the past decade. In recent years, they have been considered a primary avenue for costs optimization and revenue maximization by global banks thus fuelling exponential growth based upon worldwide adoption. Despite central role both technologically and economically, sparse attention has been given to critical vulnerabilities described as the ‘weakest link’ in global banking and finance networks and the ‘soft targets’ in the underbelly of global banking and finance. This article’s focus is on addressing these critical gaps in global banking and finance practices and key industry frameworks underlying prudent risk management and information assurance practices for global banking and finance.

Keywords: Cybersecurity, Information Assurance, Banking and Finance, VoIP Networks, Penetration Testing, Ethical Hacking Show less

Future of Bitcoin & Statistical Probabilistic Quantitative Methods: Global Financial Regulation (Interview: Hong Kong Institute of CPAs)
Global official magazine of the Hong Kong Institute of Certified Public Accountants, 2014

Abstract
Recently, such probabilistic, statistical, and numerical methods related concerns are in globally popular press related to cybersecurity controls and compliance. Earlier, similar probabilistic, statistical, and numerical methods related concerns were… Show more

Future of Bitcoin & Statistical Probabilistic Quantitative Methods: Global Financial Regulation (Interview: Hong Kong Institute of CPAs)
Global official magazine of the Hong Kong Institute of Certified Public Accountants, 2014

Abstract
Recently, such probabilistic, statistical, and numerical methods related concerns are in globally popular press related to cybersecurity controls and compliance. Earlier, similar probabilistic, statistical, and numerical methods related concerns were in the global popular press in the context of the global financial crisis. Future questions focused on the underlying assumptions and logic may focus on related implications for compliance, controls, valuation, risk management, etc. Likewise, recent developments about mathematical entropy measures shedding new light on apparently greater vulnerability of prior encryption mechanisms may offer additional insights for compliance and control experts. For instance, given related mathematical, statistical and numerical frameworks, analysis may also focus on potential implications for pricing, valuation and risk models. The important point is that many such fundamental assumptions and logic underlying widely used probabilistic, statistical, and numerical methods may not as readily meet the eye.

Keywords: Bitcoin, Statistical Probabilistic Quantitative Methods, Global Financial Regulation, Cybersecurity, Controls, Accounting, Auditing, Valuation, Risk Management, Compliance, Global Financial Crisis, Cyber Finance Crisis, Encryption Mechanisms, Mathematical Entropy, Cryptography, Vulnerabilities Show less

Bitcoin Protocol: Model of ‘Cryptographic Proof’ Based Global Crypto-Currency & Electronic Payments System

11 Pages Posted: 12 Feb 2017 Last revised: 10 Jul 2017
Yogesh Malhotra

Amazon Web Services Partner; Global Risk Management Network, LLC; GIBC Digital, LLC (Earlier)

Date Written: December 4, 2013
Abstract

This is the first research report with specific technical focus on cryptographic ‘proof of work’ in the context of virtual crypto-currencies such as… Show more

Bitcoin Protocol: Model of ‘Cryptographic Proof’ Based Global Crypto-Currency & Electronic Payments System

11 Pages Posted: 12 Feb 2017 Last revised: 10 Jul 2017
Yogesh Malhotra

Amazon Web Services Partner; Global Risk Management Network, LLC; GIBC Digital, LLC (Earlier)

Date Written: December 4, 2013
Abstract

This is the first research report with specific technical focus on cryptographic ‘proof of work’ in the context of virtual crypto-currencies such as Bitcoin. Situated somewhere along the trajectory between real money and quantum money, virtual crypto-currencies based upon ‘cryptographic proof’ represent a natural stage in the evolution of global finance. Its cryptographic solution enables creation and regulation of issue of crypto-currency, preventing its counterfeiting and double-spending, and securing its global transmission at minimal transaction cost while using little time. Specific cryptographic vulnerabilities however need attention to ensure its integrity as a reliable medium of exchange and store of value.

Keywords: Bitcoin, Block Chain, Block Chain Protocol, Bitcoin P2P Electronic Payments System, Attacks-Vulnerabilities of Bitcoin, Cryptographic Protocol, Cryptographic Proof of Work, , Cryptographic Trust, Cryptocurrencies, Money, Cryptographic Algorithms, Elliptic Curve Digital Signature Algorithm, ECDSA Show less

Advancing Cognitive Analytics Using Quantum Computing for Next Generation Encryption (Presentation Slides)
52 Pages Posted: 27 Mar 2017
Yogesh Malhotra
Amazon Web Services Partner; Global Risk Management Network, LLC; GIBC Digital, LLC (Earlier)

Date Written: March 24, 2017

Abstract
Based on the premise that the “world’s fastest [quantum] computer will operate like a human brain”, a framework of MEANING MAKING as evident in the ‘interpretive flexibility’ of human… Show more

Advancing Cognitive Analytics Using Quantum Computing for Next Generation Encryption (Presentation Slides)
52 Pages Posted: 27 Mar 2017
Yogesh Malhotra
Amazon Web Services Partner; Global Risk Management Network, LLC; GIBC Digital, LLC (Earlier)

Date Written: March 24, 2017

Abstract
Based on the premise that the “world’s fastest [quantum] computer will operate like a human brain”, a framework of MEANING MAKING as evident in the ‘interpretive flexibility’ of human sense-making processes is explored to contrast and compare with the ‘qubit-based’ information-processing and encryption capabilities of today’s ‘quantum computers’ for inspiring thinking about next generation encryption and decryption. Quantum Mechanics notions of ‘Superposition’ and ‘Entanglement’ evident in human sense making processes present interesting avenues for advancing ‘Cognitive Analytics’ at the intersection of Quantum Computing and Quantum Biology of the Human Mind/Brain. Show less

Advancing Cognitive Analytics Using Quantum Computing for Next Generation Encryption (Presentation Slides)
52 Pages Posted: 27 Mar 2017
Yogesh Malhotra
Amazon Web Services Partner; Global Risk Management Network, LLC; GIBC Digital, LLC (Earlier)

Date Written: March 24, 2017

Abstract
Based on the premise that the “world’s fastest [quantum] computer will operate like a human brain”, a framework of MEANING MAKING as evident in the ‘interpretive flexibility’ of human… Show more

Advancing Cognitive Analytics Using Quantum Computing for Next Generation Encryption (Presentation Slides)
52 Pages Posted: 27 Mar 2017
Yogesh Malhotra
Amazon Web Services Partner; Global Risk Management Network, LLC; GIBC Digital, LLC (Earlier)

Date Written: March 24, 2017

Abstract
Based on the premise that the “world’s fastest [quantum] computer will operate like a human brain”, a framework of MEANING MAKING as evident in the ‘interpretive flexibility’ of human sense-making processes is explored to contrast and compare with the ‘qubit-based’ information-processing and encryption capabilities of today’s ‘quantum computers’ for inspiring thinking about next generation encryption and decryption. Quantum Mechanics notions of ‘Superposition’ and ‘Entanglement’ evident in human sense making processes present interesting avenues for advancing ‘Cognitive Analytics’ at the intersection of Quantum Computing and Quantum Biology of the Human Mind/Brain. Show less

GLOBAL FINANCE LIQUIDITY RISK REVISITED: JP Morgan Alternative Assets Portfolio Liquidity Assessment Framework & Models: $500 Billion Fund of Funds: 17 Asset Classes

Presentations at
JP Morgan World HQ, 270 Park Ave, Manhattan, NY, USA

Led quantitative portfolio liquidity modeling for multiple financial asset classes.
Led literature review of all liquidity risk models, methods, and measures.
Led project management & scheduling and delivering high quality results on… Show more

GLOBAL FINANCE LIQUIDITY RISK REVISITED: JP Morgan Alternative Assets Portfolio Liquidity Assessment Framework & Models: $500 Billion Fund of Funds: 17 Asset Classes

Presentations at
JP Morgan World HQ, 270 Park Ave, Manhattan, NY, USA

Led quantitative portfolio liquidity modeling for multiple financial asset classes.
Led literature review of all liquidity risk models, methods, and measures.
Led project management & scheduling and delivering high quality results on time.
Led interpretations of all outcomes & findings to ED team of Quants, CIO, MDs, PMs..
Assets: alternatives, HF, equities, commodities, fixed income, bonds, currencies.
Analyzed market risk, credit risk, ALM risk, portfolio risk, investment risk.
Led modeling and stress-testing for all asset classes and composite portfolio.
Led validation of all liquidity and liquidity risk models and measures.
Led verification of model performance, limiting behaviors, responses to stress.
Led modeling of pricing & risk measurement with specific focus on liquidity.
Led evaluation of third-party models, data, software for diverse asset classes.
Led inventorying of model assumptions and assessment of model risks for all assets.
Led evaluation of third-party models, data, software for diverse asset classes.
Led inventorying of model assumptions and assessment of model risks for all assets.
Modeled historical simulation, parametric & modified VaR, expected shortfall.
Modeled and analyzed multi-asset volatility, variances & correlations, GARCH, MLE.
Modeled VaR, QMLE, non-normality, Cornish-Fisher, EVT stochastic models for assets.
Modeled and analyzed liquidity risk models for all assets and portfolio optimization.
Identified & defined benchmark indices & data sources for all asset classes.
Assessed soundness of liquidity & liquidity risk models for assets & portfolio.

Guidance to JP Morgan Managing Directors/Executive Directors for Future Execution Show less

Abstract
[Update: Within four weeks of the original publication of this research report, Risk Magazine reported in its 28th February 2012 issue story titled 'Goodbye VaR? Basel to Consider Other Risk Metrics': "A review of trading book capital rules, due to be launched in March by the Basel Committee on Banking Supervision, will consider ditching value-at-risk as the main measure on which market risk capital is calculated, sources say - but it may not be easy to find a replacement."… Show more

Abstract
[Update: Within four weeks of the original publication of this research report, Risk Magazine reported in its 28th February 2012 issue story titled 'Goodbye VaR? Basel to Consider Other Risk Metrics': "A review of trading book capital rules, due to be launched in March by the Basel Committee on Banking Supervision, will consider ditching value-at-risk as the main measure on which market risk capital is calculated, sources say - but it may not be easy to find a replacement." Subsequently, in May 2012, Bank for International Settlements (BIS) published Basel Committee's 'Fundamental review of the trading book - consultative document' proposing the switch from Value-at-Risk (VaR) to Expected Shortfall in order to better capture 'tail risk.']

Based upon a literature survey of research on Value-at-Risk (VaR), the predominant measure of financial risk assessment in the global Banking and Finance industry, this presentation outlines the case for advancing beyond VaR for better measurement of systemic financial risks. Specifying why alternatives to VaR are necessary given known inherent limitations of VaR as a measure of systemic risks, it also examines if in years preceding the Financial Crisis, specific limitations of VaR observed in course of the Crisis were foreseen by other researchers. Establishing the need for better measures of systemic risks beyond VaR, based upon a survey of the spectral risk measures, it reviews alternative models and measures from extant research and empirical research on their comparative analysis.

Keywords: VaR, Value-at-Risk, Credit Risk, Liquidity Risk, Market Risk, Operational Risk, Systemic Risk, VaR Regulation, Coherent Risk Measures, Expected Shortfall, Spectral Risk Measures, Co-VaR, CaViaR Show less

• AACSB: 'Exemplars'​ of 'considerable impact on actual practice' such as Black-Scholes, 02/2008.
• AI-KM research impact among others such as Herbert Simon: University of Minnesota, ASIS&T.

Seminal Article Underlying Systems & Decision Models for Black Swans & Extreme Events.
Originally published in Americas Conference in Information Systems, August, 1997.

Subject of Air Force Research Lab CIO Keynote to AFCEA.

CNET Networks Corporate Computing Award: Most Influential Research
American Society for Information Science & Technology: Published Research.

Why Information Systems based Knowledge Management Models Fail?

"Latest thinking on issues at the forefront of teaching innovation and professional imagination."
- M. Lynne Markus, Professor & Dept. Chair of Electronic Business, City University of Hong Kong.

Designing Human-Machine Learning Systems for Self-Adaptive Complex Systems:
Inspired by Dr. John Holland, Genetic Algorithms pioneer, then at Santa Fe Institute.

KMWorld 2000, Santa Clara (Silicon Valley), CA, Sep. 12-Sep. 15, 2000.

Other Keynote Speakers on the same forum: Booz Allen Hamilton CKO Charles Lucier,

"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 Corp.

Plenary Keynote to Cabinet Ministers, 13 CIOs, and 600 top IT Executives.

Silicon Valley TiE Global Annual Conference: Opening Plenary Keynote to VCs & CEOs:
Hosted by Silicon Valley TiE Global Founding Board of Directors Members:
“Growing Business Enterprises on the Net: The Way of the Wild Wild Web,"
Opening Plenary Keynote Preceded Plenary Keynote by Silicon Graphics co-founder.

Conference Board U.S. Quality Council, Executive Council of Global Center for Performance.

Plenary Keynote by Kenneth T. Derr, Chairman and CEO, Chevron Corporation.

Google Scholar: 900+ Citations

ASQ, Administrator of Malcolm Baldrige National Quality Awards.

Interview by South Korea's Largest National Newspaper and TV Network:
Knowledge Management, Knowledge Organizations & Knowledge Workers.

Seminal Research on Systems & Decision Models for Black Swans & Extreme Events.

Google Scholar 8400+ Citations: SSRN 9000+ Downloads: AI-ML-DL-Quant-Cyber-Crypto-Quantum, Algorithms, Machine Learning, Cybersecurity, Quant Finance