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From cracked data foundations to multi-agent AI, Starburst Data's co-founder shares hard-won lessons on getting the right data, not just more of it.
Topics Include:
- Matthew Fuller, co-founder and VP of Product at Starburst Data, joins the show.
- Starburst is built on Trino, a fast SQL engine for federated data queries.
- Their platform lets users query data across lakes, stores, and databases seamlessly.
- Governed "data products" give organizations access to their full data estate in context.
- A strong data foundation is essential before any AI use case can succeed.
- AI doesn't create data problems — it exposes the cracks already there.
- Common mistake: assuming everyone in an org defines "customer" or "revenue" the same way.
- More data isn't always better — getting the right data is what matters.
- Customers include HSBC, Comcast, Zalando, ZoomInfo, and DBS, many running on AWS.
- AWS partnership spans technical support, SLA reliability, and proactive product briefings.
- Advice for product leaders: always anchor new technology back to the customer problem.
- 2026 will be defined by specialized multi-agents working together autonomously.
Participants:
See how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/
