We both enjoy BBC's live text commentary for sports. Often, it includes novel insights but also summarizes recent events. Imagine enhancing this with an AI Co-Pilot for more efficiency.

In our session, we'll introduce this AI Co-Pilot, leveraging Redpanda, ClickHouse, Flink, and a Large Language Model. It involves feeding a stream of events into RedPanda, capturing them in Flink by game or time, and storing them in ClickHouse with historical data.

The LLM receives recent events and historical data, suggesting text commentary. Commentators can use, edit, or ignore these AI-generated suggestions, enhancing the live commentary experience.

This mechanism applies to similar use cases like live auctions, traffic updates, weather predictions, and use case that involves real-time data and human commentary.