Financial services companies have been at the forefront of the digital transformation wave, and many now identify as technology companies due to the adoption of cutting-edge practices including machine learning. Banks and other financial services companies are using automated decision making for a range of use cases, including fraud detection, credit scoring, and algorithmic trading. These innovations are leading to better outcomes for the businesses and customers alike; but as companies balance AI risk with innovation, they must also navigate a rapidly evolving AI policy landscape. In this panel, hear from industry leaders with experience developing and managing models with positive impact that meet regulatory compliance requirements.
Panelists:
Elliott Star, Director of Data Science, Chime
Raj Sachdeva, SVP, Model Risk Management, Northern Trust
Jie Chen, MD, Corporate Model Risk, Wells Fargo
Ozge Yeloglu, VP, Advanced Analytics & AI, CIBC
Amit Moran, VP of Data, BlueVine
Oz Karan, Partner, Trustworthy AI, Deloitte
Moderator:
Kojin Oshiba, Co-Founder, Robust Intelligence
28 сен 2024