A data engineer's account of Snowflake's 'Data for Breakfast' event in Austin, covering platform architectural evolution including Cortex Code, Snowflake Intelligence, semantic views, and governed AI. Key themes include the distinction between augmentation and autonomous AI, governance-by-design for regulated industries like healthcare (HIPAA/HITECH), semantic layer consistency at scale (Indeed's Crystal platform), and a real-world case study from Alltimatte AI on predictive analytics in healthcare using Snowflake as a governed multi-tenant substrate.
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Grounded vs. Ungrounded AI: A Hard Line in Regulated DomainsGet Sonal Mishra’s stories in your inboxSemantic Layers and Compute Topology for Agent-Ready ArchitecturesEnterprise Consistency in Practice: Indeed’s “Crystal” PlatformSort: