Game, Set, Match: Transforming Live Sports with AI-Driven Commentary
Mark Needham & Dunith Danushka
We are both big fans of the live text commentary the BBC provides for sports like football, tennis, rugby, cricket, and more. While there are a lot of novel observations in the commentary, there is also a lot that effectively summarises what just happened.
Wouldn’t it be cool if the commentator could have a Co-Pilot who can make the process more efficient?
This session will introduce an AI co-pilot for sports commentary based on Redpanda, ClickHouse, and a large language model. A stream of events will be fed into RedPanda, and we’ll capture a window of those events in game-by-game and/or time-period buckets using ClickHouse.
We’ll then send the LLM the events that have just happened along with queries on historical data, from which it can generate suggested text commentary. The commentator can then decide whether to use the Co-Pilot’s suggestion, edit the suggestion, or just go along with their own version.
Under the Hood: Full Text Search at ClickHouse scale and speed
Watch this deep-dive webinar to learn how to perform full-text search for real-time analytics using ClickHouse’s new inverted index.
Under-the-Hood: ClickHouse Incremental Materialized Views and Dictionaries
This webinar explores how organizations use ClickHouse Materialized Views and Dictionaries.
Building the Future Data Lakehouse: Iceberg & ClickHouse
Erlebe, wie du Performance, Offenheit und Governance in deiner Datenplattform vereinst
