AI Builders Global Conference 2026
Oct 14, 2026 – Oct 16, 2026 · Virtual · scheduled
At this event: Adobe
Vidya Bansal
Principal CXO Architect
Putting AI into customer decisioning sounds easy—until you ask: What context does AI need to make useful and trustworthy decisions? Customer data platforms contain rich behavioral data, but raw customer signals alone aren't decision-ready. They need to be interpreted against a business goal, behavioral evidence, customer and cohort context, and the policies that govern what actions are appropriate. In this session, we'll walk through a reference architecture for AI-powered decision intelligence on top of a customer data platform. Using a marketing retention scenario, we'll show how behavioral signals can be transformed into business context, how AI agents can explore customer data to discover meaningful cohorts and opportunities, and how that evidence can be assembled into decision context for recommendations such as lifecycle interventions and next-best actions. We'll explore how agentic discovery, deterministic policies, confidence controls, and human oversight work together—showing where AI should reason freely and where governed systems must remain in control.
Event connections
Showing 1 of 1 published event connections.
Sources & verification
Showing 2 of 2 published source records.
A source check is not a claim of complete extraction.