Financial Services - ML:Integrity Panel

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.

Financial Services - ML:Integrity Panel

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.