Understanding and managing risk is crucial for banks to come out on top. As banking becomes more data driven, AI is playing a powerful role in determining the methods and extent to which banks comprehend and handle their risk across a variety of areas and functions, including credit risk, operational risk, market risk and liquidity risk. This panel will gather industry leaders to provide insight into the latest thought leadership on AI and risk management.
Speakers
Natalia Bailey
Policy Advisor, Digital Finance, Institute of International Finance (IIF)
Agus Sudjianto
EVP, Head of Corporate Model Risk, Wells Fargo Bank
Jacob Kosoff
Head of Model Risk Management and Validation (MRMV), Regions Bank
Ashish Jain
Chief Product Officer, Arkose Labs
Amit Srivastav
Executive DirectorMorgan Stanley
Victor Ghadban
Chief Field Data Scientist, Explorium
Predictive models based on the right data are the tools you need to use in order to drive efficient growth. AI/ML capabilities continue to spread across B2B marketing, sales and…
Machine Learning can take your marketing and sales to the next level, by enabling a scalable system to help you identify your ICP, and connect with them in the way…
The adoption of machine learning in the enterprise continues to grow as businesses—hungry for automation and intelligence—strive for greater efficiency, agility, and innovation through the digital transformation of legacy processes….
