Andrew Evans

How does an organization become AI-ready? Clean data makes facts legible, but it doesn’t ensure teams build the right thing. Stride CDO Vida Williams and phData will show data and AI leaders how a reasoning layer governed by methodology, not just tooling, turns generative speed into compounding advantage for human-centered AI on Snowflake and Claude. Stride moved from experimentation to production, cutting course creation from months and ~$80K to minutes, launching a kid-safe AI tutor, and delivering more personalized learning at scale.

Discover how Stride and phData built an enterprise-grade AI and data architecture to streamline development, enhance safety and ensure accuracy. By migrating from legacy data solutions to Snowflake’s AI Data Cloud, they leveraged Unistore and Snowpipe Streaming to create a centralized API layer, enabling real-time personalization for teachers and students. This transformation cut development time by 60% while maintaining trust, compliance and adaptability. This session is ideal for data engineers, product managers and architects looking to harness Snowflake for scalable, AI-driven solutions.

AI hype feels impossible to avoid. Every person, business and function stands to benefit from a tremendous leap in productivity. In this talk, phData will cover the wins we’re already seeing and practical lessons about what challenges are faced and what lies ahead. With each story, you will learn about groundbreaking Snowflake products and apps — from Document AI to Snowpark Container Services and more — that power these wins and overcome barriers to adoption.