QuantUniversity

Navigating the Future with Generative AI and Enhanced Model Risk Management QuantUniversity Guest Lecture with Rafic Fahs, Fifth Third Bank and Sri Krishnamurthy, CFA, CAP This talk addresses the critical risks and challenges of generative AI in retail banking, such as confabulation, harmful recommendations, and mishandling sensitive data. It highlights the need for robust initial controls, effective validation, and comprehensive lifecycle management of high-risk AI models. Key solutions include: - AI Governance Working Group: A diverse team ensuring ethical usage and human oversight. - Exemption Criteria: Guidelines for when generative AI systems can be exempt from strict risk management. - Lifecycle Management Framework: Managing high-risk models from development to deployment. - Customized Risk Tiering: Tailoring risk assessments to specific AI use cases. - Enhanced Validation Templates: Standardizing validation processes for consistency and accuracy. This framework balances innovation with robust risk management, ensuring secure and efficient use of generative AI in various applications.

I had the privilege of presenting our work on #QuSkillBridge, developed by QuantUniversity, at the IEEE Global Tech Forum on AI, held on November 7, 2024, at the Microsoft New England Research & Development Center. My talk focused on leveraging agentic architectures for #CareerLifecycleManagement within enterprises. The Imagination in Action segment, curated by John Werner, brought thought leaders and entrepreneurs Michael Stonebraker, Tejas Kulkarni, Tamer Karatekin, Alexander Htet Kyaw & Richa Gupta for a fabulous afternoon filled with intrigue and insights fitting right in the theme of the possibilities with AI!. A heartfelt thank you to IEEE Future Directions, Imagination in Action, and John Werner for hosting this impactful event. For those interested in personalized AI upskilling and cross-skilling solutions, explore more at?https://lnkd.in/eF_HUSc3 About QuSkillBridge.ai: QuSkillBridge.ai offers personalized AI upskilling and cross-skilling solutions tailored to professionals, students, and individuals. Powered by QuantUniversity, our platform identifies unique learning needs and customizes educational journeys, preparing users for AI-driven careers aligned with their backgrounds and interests. Enterprises can craft customized career paths, empowering employees with the skills necessary for future AI-powered roles.

Navigating AI and Model Risk Management in Banking QuantUniversity AI Fall school Lecture 5 Speakers: - Sri Krishnamurthy, CFA, CAP - Christophe Rougeaux, TD - Hua Julia Li, Ex-State Street Summary: This panel will explore the intersection of AI advancements and Model Risk Management (MRM) in the banking industry, past/present/future, focusing on how emerging technologies are transforming risk management practices. Thought leaders will discuss the evolution of AI techniques, real-world applications, and strategies for managing the unique risks posed by AI systems. This discussion will provide insights into challenges, benefits, and practical advice for professionals seeking to upskill in AI risk management.

QuantUniversity's AI Fall School Lecture 4 announcement! Tomorrow Apostol Vassilev from National Institute of Standards and Technology (NIST) will join Sri Krishnamurthy, CFA, CAP for a discussion on adversarial machine learning! Join us over zoom at 12.00pm EDT on October 30th! https://lnkd.in/e5fYdbWc Summary: This talk covers a taxonomy of adversarial machine learning (AML) from the National Institute of Standards and Technology (NIST) Trustworthy and Responsible AI report. It explores types of attacks, attacker goals and capabilities, and mitigation methods, providing a structured understanding of AML concepts and challenges in securing AI systems. Key Takeaways: -Overview of AML attacks (evasion, data poisoning, trojans) and their impact on AI systems. -Insights into attacker objectives and knowledge levels, crucial for developing defense strategies. -Practical methods for mitigating adversarial attacks and managing AI security risks. -Identification of open challenges in AML, guiding future practices for robust AI systems. Reference: https://lnkd.in/eYhQ_ijt

?? Exciting day at #BostonFintechWeek! QuantUniversity hosted a half-day workshop on AI and Investing, bringing together an incredible panel of industry leaders: ?? Sri Krishnamurthy, CFA, CAP, QuantUniversity ?? Anish S., Quant Research, Fidelity Investments ?? Dushyant (D) Shahrawat, CFA, Director, FinTech Investment Banking, Rosenblatt Securities ?? John Werner, Managing Director, Link Ventures ?? John Harthorne, Managing Director, Two Lanterns Venture Capital ?? Arun Verma, PhD, Head of Quantitative Research Solutions, Bloomberg LP Thanks to everyone who joined us for insightful discussions on the future of AI in fintech! #AI #Investing #Fintech #QuantitativeResearch Thanks Farrah Narkiewicz and Stephen D. Cutler Center for Investments and Finance, Babson College for hosting us and Fintech Sandbox for organizing the #BostonFintechWeek!

AI and Investing: What You Need to Know in 2024 and Beyond Artificial intelligence (AI) has significantly impacted investing in recent years. It has introduced a range of tools and techniques that can help investors make more informed decisions, optimize their strategies, and manage risk more effectively. Join our panel of experts as they weigh in on the topic and highlight not only trends and opportunities but also how to create effective guardrails around AI and risks. The panel will feature: Sri Krishnamurthy, CFA, CAP, CEO, QuantUniversity Professional Learning John Harthorne, Founder and Managing Director, Two Lanterns Venture Capital Anish S., Quant Research, Fidelity Investments Asset Management Dushyant (D) Shahrawat, CFA, Director, FinTech Investment Banking, Rosenblatt Securities Arun Verma, PhD, Head of Quantitative Research Solutions at Bloomberg, LP John Werner, Managing Director, Link Ventures