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Abhaya Kant SrivastavaMachine Learning Agnostic Methods To Validate AI/ML Models Within Regulator’s ExpectationsMachine Learning Agnostic Methods to Validate AI/ML Models Within Regulator’s ExpectationsFeb 15
Alex Filiakov, ACASAI-Driven P&C Insurance: Enhancing Antifragility and Enabling the Exploration of New FrontiersThe integration of Artificial Intelligence into Property and Casualty (P&C) insurance, particularly in the actuarial field, is a…Apr 28
Mukund PandeyThe Essential Guide to Model Risk Management (MRM): Frameworks, Best Practices, and BeyondIn the complex and rapidly evolving data-driven world, the governance of models stands as a critical pillar ensuring the integrity…Feb 5
Fintech SandboxMeet Proov.ai — A Demo Day[s] 10 Presenting StartupThis year, FinTech Sandbox Demo Day[s] will take place across two days, April 9 & April 11. The presentations will be virtual and the…Mar 27
Aj NayakSelf-Regulating AI: Regulatory Considerations and Challenges in AI Model Governance in Financial…Part 1 of 2Feb 18
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InNaked AIbySohail ShaikAI Risk 103: AI is COMPLEX!!The most complex non-living thing right now!Nov 19, 2023
