How Banking Leaders Can Overcome the Challenges to AI Adoption - With Nishant Chandra

Banks have several challenges to AI adoption. One of them is their legacy IT and data infrastructures which aren’t built or organized for machine learning. Nishant Chandra, PhD, Senior Director of Data Products at Visa, outlines how banks can transition their legacy systems to systems ready for AI. Chandra discusses the importance of leadership teams in cultivating a company culture necessary for adopting AI with any success, and he gives examples of times when he’s seen old systems hold a company back from adopting AI and when he’s seen leadership do the same. Discover how banks can overcome some of the pitfalls to AI adoption in this episode of the AI in Banking Podcast.

Om Podcasten

The AI in Financial Services is for non-technical financial services leaders looking to find AI opportunities, build an AI strategy, and deliver ROI. Each week, Emerj AI Research team (and CEO Daniel Faggella) interview leaders from global financial services firms and unicorn AI startups to get to the heart of AI ROI - uncovering what’s working and what’s not working for FinServ leaders. Visit our advertising page to learn more about reaching our executive audience of AI adopters in the world’s largest banking and insurance firms: https://emerj.com/advertise