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.
Recent videos
View all Videos
Open House, ClickHouse
How to build a great database (Alexey Milovidov)
The principles behind building a great database, and the new frontiers shaping the field.

ClickHouse
ClickPipes와 Materialized View로 구현하는 실시간 데이터 변환과 평탄화 기반 분석 실현
Ken Lee, Solution Architect, ClickHouse

ClickHouse Cloud, ClickHouse
What Benchmarks Miss: Measuring the True Cost of Real-Time Analytics

ClickHouse, ClickHouse Cloud