Keynote: Data = AI: Leading the Future of Gen AI with Apache Cassandra
summary
Claims Apache Cassandra is the backbone for real Gen AI workloads, citing enterprise users like Uber Netflix and FedEx and multiple customers moving to production in 60 days or less. Describes vector search + RAG integration with JVector now in Cassandra 5 beta, reports 16% more relevant results vs a leading vector vendor and 10x faster than Lucene indexing, highlights Astra cloud service, a 6 million‑user multimodel bot built in 55 days, and stresses production costs, governance, and developer experience.
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chapters (14)
- 0:00Introduction
- 1:02Cassandra’s impact
- 2:28AI’s transformative role
- 3:54GenAI adoption timelines
- 5:58CIO priorities in AI
- 7:21Developer influence on GenAI
- 8:03Customer success stories
- 9:44GenAI implementation strategies
- 10:48Ease of use in GenAI apps
- 11:32Measuring relevance in AI apps
- 12:56Cassandra 5 performance
- 14:42Price performance and production
- 15:45Developer experience matters
- 16:28Cassandra in GenAI databases
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