Snowflake Delivers Semantic View Autopilot as the Foundation for Trusted, Scalable Enterprise-Ready AI

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• Simon AI's focus is helping businesses turn data into real, actionable outcomes, but inconsistencies between business logic have historically slowed how far AI can be applied. Semantic View Autopilot provides AI systems with a consistent, governed understanding of business metrics enabling reliable personalization and AI-driven engagement.

  80% confidence

• Snowflake has more than 12,600 customers around the globe, including hundreds of the world's largest companies

  80% confidence

• Semantic View Autopilot can cut semantic model creation from days to minutes

  80% confidence

• Semantic View Autopilot potentially eliminates the need for manual, error-prone semantic modeling by automatically building, optimizing, and maintaining governed semantic views

  80% confidence

• Online Feature Store enables features to be served in milliseconds

  80% confidence

• AI is quickly becoming part of the operating fabric of the enterprise, not a side project. Snowflake's focus is to make that future a reality now by ensuring AI agents operate on consistent business logic, behave as expected, and scale without surprises. By unifying trust, governance, and execution on one platform, they are delivering AI that actually works in environments customers care about.

  80% confidence

• Enterprises deploying AI agents face fragmented semantic layers with manually defined and inconsistently governed business metrics, creating a bottleneck for AI adoption and producing unreliable outputs

  80% confidence

• Cortex Agent Evaluations prevents operational waste such as redundant tool calls and spiraling compute costs

  80% confidence

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