The Agent Era: How AI Agents Are Reshaping Data Platforms
summary
Agents hit platforms with dozens of parallel queries, create ephemeral databases constantly, and break assumptions about human review and rare DB creation: a claim that 80% of databases are created by agents drives work on metadata, retrieval, and governance. Concrete responses include Snowflake’s Coco agent and verified tables/queries, Elastic’s vector/hybrid retrieval tuning, MotherDuck’s database snapshots, and Postgres-style copy-on-write branching plus scale-to-zero for cheap, instant per-agent databases; one rollout reports 50% agent traffic in six months.
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chapters (6)
- 0:00Introduction and panel setup
- 2:55AI agents as new data platform users
- 12:03Assumptions broken by agent era
- 22:23Supporting safe agent exploration
- 34:22Product investments for AI agents
- 45:41Closing remarks and Q&A
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