Uploaded June 2026 | Updated September 2026, 1 week ago
Every major business decision is ultimately built on data, yet getting to the right answers has long required specialized expertise, from knowing which tables to query to how to query them to building the right data applications. AI agents are fundamentally changing that equation, making data accessible to anyone who can ask a question in plain language.
At Meta's scale, with millions of datasets serving tens of thousands of decision-makers, this shift creates both massive opportunity and unique challenges around trust and accuracy. This presentation will detail how we built AI-native data experiences to address two key dimensions: enabling trusted answers through agentic data consumption, and letting users create shareable agentic data applications without writing a single query.
Want to learn more about the @Scale Conference? Visit our website here: atscaleconference.com
Every major business decision is ultimately built on data, yet getting to the right answers has long required specialized expertise, from knowing which tables to query to how to query them to building the right data applications. AI agents are fundamentally changing that equation, making data accessible to anyone who can ask a question in plain language.
At Meta's scale, with millions of datasets serving tens of thousands of decision-makers, this shift creates both massive opportunity and unique challenges around trust and accuracy. This presentation will detail how we built AI-native data experiences to address two key dimensions: enabling trusted answers through agentic data consumption, and letting users create shareable agentic data applications without writing a single query.
Want to learn more about the @Scale Conference? Visit our website here: atscaleconference.com
