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Interview, Fireside Chat

Benoit Dageville, Snowflake | RAISE Summit 2025

  • Transitioning platform focus to treat unstructured data as a first-class asset, aiming to integrate it seamlessly with structured and semi-structured information.
  • Elevating SQL to the primary language for unstructured data queries through the introduction of "AI SQL."
  • Optimizing GPU utilization to eliminate idle cycles via vectorized execution and pipeline stage overlap, targeting improved efficiency and cost reduction.
  • Prioritizing a three-layer roadmap comprising Level Zero (data), Level One (semantic views), and a third layer dedicated to governance, security, and asset management.
  • Deploying semantic views to define precise metrics, aggregation rules, and table relationships, enabling AI to process complex business definitions autonomously.
  • Reporting that shipped Semantic Views have already achieved "beyond 95% quality," with an explicit future goal of reaching 100% accuracy.
  • Expanding connectors for unstructured sources like SharePoint to handle semantic relationship complexities while preserving access control lists (ACLs) and security.
  • Materializing specific semantic computations to optimize processing speed and relevance for frequently asked queries.
  • Defining graph structures as inherent to all data types, utilizing either materialized pointers or semantic models to represent relationships.
  • Establishing the open-source Polaris protocol to unify data cataloging alongside the proprietary Horizon platform, which includes compute assets in the catalog.
  • Characterizing competitor claims of being "faster and less expensive" as incorrect and recommending independent TPCDS benchmarks for verification.
  • Architecting the platform to support all data types and workloads, including analytics, transactional, and AI, under a single roof to minimize complexity and cost.
  • Democratizing data access by enabling business users to interact directly with the platform via natural language, eliminating reliance on technical personnel for access management.
  • Viewing the integration of unstructured data and direct natural language interaction as the onset of a significant industry revolution.