In today’s business fast-paced business environment, we see that digitally native enterprises are constantly innovating methods to analyze vast amounts of data on high performance computing platforms to build powerful AI solutions. Many such enterprises, such as Amazon and Google, have leveraged AI to become giants both due to their sustained profitable growth as well as their ability to deliver superior customer experiences.
The success of enterprises such as Amazon and Google have inspired broad interest in AI so most enterprises invest in AI efforts today. While many have succeeded, most continue to struggle as they don’t fully address risks in implementing AI solutions. These risks arise from failure to experiment at scale, but also from attempts to implement black-box model that suffer from bias or can’t be explained adequately to their own subject matter experts or regulators.
Core is proud to welcome Rajesh Iyer, VP NA Financial Services at Capgemini to discuss the Risk vs Reward balance from AI solutions.
Rajesh Iyer - VP NA Financial Services at Capgemini
Rajesh is responsible for driving growth in Machine Learning and Artificial Intelligence capability as part of the Insights & Data Global Service Line at Capgemini. He comes to Capgemini with 20+ years of Data Sciences/AI experience across multiple domains, such as Risk, Distribution, Operations and Marketing, but working mostly with very large financial services institutions across the Banking and Insurance verticals.
Bay Adelaide Centre, 333 Bay St #3400
Toronto, ON M5H 2R2
8:00 – 8:30: Breakfast
8:30 to 9:15: Presentations, questions and discussion
9:15 – 9:30: Break
9:30 to 10:15: Panel Discussion