Building Agentic Apps with Customer Data Products

“One of the most difficult problems every company faces is understanding its customers completely. Customer lifetime value, attrition risk, and purchase propensity are all solvable with AI/ML — but how do we combine these modeling scores to initiate the right action with the right customer at any point in time?

Agentic applications help us make the best possible decisions when interpreting complex, high-volume signals from our customers. An agentic application gives end users visuals that explain key insights, with an agent in the loop to ensure nothing is missed. Context is everything: when done correctly, the agent always has the appropriate understanding to build an action plan that improves customer health and profitability.

In this session, we’ll show you how to build agentic apps from ideation to a finished product that interacts with customers. You’ll take away practical tips for using agentic coding frameworks, curating complete customer data products, and building customer-facing agents — capped off with a live demo of Teradata’s Customer Lifetime Value Agentic App.”