Most banks know CLV matters. Few have a system that identifies which customers are at risk—and tells a banker exactly what to do about it, right now.

Matt Mazzarell, AI Lead for Financial Services (Americas) at Teradata, follows Phinean's opening with a live demo of Teradata's Customer Lifetime Value application—a purpose-built solution combining traditional ML, predictive modeling, and generative AI in a single analyst experience.

In the room right now, attendees are seeing:

• How CLV, attrition risk, and propensity scores combine into one explainable view of your book of business
• How AI-powered clustering surfaces the segments most likely to borrow—or leave—before your team spots them manually
• How an agent-in-the-loop synthesizes dozens of signals into a next best action, complete with call script and talk track, in real time

This is what purpose-built AI for banking looks like. Get a sneak peek into his demo.