Yogesh MalhotraFounder & CEO at Global Risk Management Network
Dr. Yogesh Malhotra is the Founding Chairman & CEO of the New York, USA, based global venture capital and private equity firm Global Risk Management Network, LLC. As CEO, CIO, and, CTO of global Digital ventures with global clients-patrons such as Goldman Sachs, Google, IBM, Intel, Microsoft, and, Ogilvy, institutions such as Harvard and MIT, and, ACM, NSF, UN, U.S. and world governments, Dr. Yogesh Malhotra is an industry pioneer in Quantum Information Science, Human-Centered Artificial Intelligence (AI), Knowledge Management (KM), and, Digital Transformation. As Industry Expert for MIT Computer Science & AI Lab, he recently led 200 Management & Leadership executives from firms such as Google and Microsoft to develop, deploy, and, implement AI, Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), and, Robotic Process Automation (RPA) strategy road maps. As Industry Expert for the Princeton Quant Trading & Finance and Crypto-FinTech Conferences sponsored by firms such as Goldman Sachs and Citadel, his recent presentations advanced Cyber-Crypto resilience practices for AI-ML-DL-GANs (Generative Adversarial Networks) and Quantum Computing and Quantum Cryptography.
Over recent years, at the request of Pentagon CTO and U.S. DoD CIO senior advisor, he has served as Chief Data Scientist and Chief Scientist enabling DoD-wide AI-ML enablement for the Secretary of the United States Air Force (USAF) and Joint Artificial Intelligence Center (JAIC) CTO, and, a global inter-agency COVID rapid response network respectively. Before that, he was retained as full-time global Managing Director on the senior leadership team by the CEO of GIBC Digital to head a $1 Billion global AI-ML center of innovation excellence. Over above time span, he also represented the CEO of a global Block Chain Cloud Computing pioneer on investment road shows across Asia and Australia while leading and guiding the CEO, COO, and, CTO team on AI-ML-Cyber-Crypto tech architecture and platform development and strategy.
His above CEO-CxO teams leaderships advance upon his prior leadership of global Digital Practices, Technologies, Teams, and, Ventures adopted-recommended by industry leaders such as Microsoft founder Bill Gates, Big-4 Consulting CxOs, and, U.S. Army, Navy, and, Air Force CIOs. Building upon 25-year leadership of CEO-CIO-CTO practices and teams, his recent Air Force Research Lab (AFRL) Commercialization Academy ventures advance AI-ML-DL and Cyber-Crypto, Quant, and, Quantum practices enabling global Digital CEO-CxO teams to build next generation resilient Digital enterprises while saving 90% time and cost. His automation and optimization focus built upon leadership of AI-ML-DL and Knowledge Management practices is complemented by his solid Risk Management focus.
His latest AI-ML-DL industry expert papers and presentations such as for the Journal of Financial Transformation and Journal of Operational Risk, and, Chartered Financial Analyst (CFA) Society, and, National Association of Insurance Commissioners (NAIC) and Data Science innovations such as Model Risk Arbitrage™ build upon prior leadership of Wall Street investment banks with $1 Trillion AUM such as JP Morgan in Financial Risk Management, and, State of New York in Cyber Security and Network Security Risk Management.
With 72 Top-10 SSRN research rankings for latest post-doctoral R&D papers and presentations on AI-ML-DL-Cyber-Crypto-Quant-Quantum technologies, his prior impact of research is ranked and recognized among Nobel laureates in Information Technology and Finance such as Herbert Simon and Black-Scholes, and, recognized by various awards including CNet Networks Corporate Computing Award for most influential research.