Many organisations can build an impressive AI prototype. Far fewer can turn it into a trusted, scalable application that delivers measurable business value.

Using a media-streaming use case, this session explores how an AI assistant can move beyond generic recommendations to deliver personalised, catalogue-grounded experiences in real time. You will learn how live operational data, conversational memory, semantic search and governed AI actions can work together—while ensuring the AI respects availability, customer entitlements, parental controls and other business rules.

The session will share practical lessons from building the solution, including where large language models add value, where deterministic logic works better, how to reduce latency and cost, and why trusted data is often more important than a larger model. Attendees will leave with a practical framework for taking agentic AI from an exciting concept to a production-ready business capability.

Beyond the AI Demo: Turning Agentic AI into Real Business Impact

Speakers

Sai Vajja