Josh Klahr

As data, BI and AI converge, enterprises need a shared semantic foundation that works across tools, models, and workloads. Explore how the Open Semantic Interchange (OSI) creates a vendor-neutral semantic standard that lets BI, analytics and AI tools speak the same language for reliable, consistent data interpretation. This session will explore how OSI supports dimensional BI models, enabling a durable way to define semantics once and use them everywhere. Learn how this standard insulates your models from schema drift and accelerates cross-system integration in Snowflake, ensuring your traditional BI dashboards and new AI applications always agree on the numbers.

As data, BI and AI converge, enterprises need a shared semantic foundation that works across tools, models and workloads. This session introduces Open Semantic Interchange (OSI) — a minimal, expressive metadata standard built on three primitives: concepts, relationships and relational formulas. OSI supports both dimensional BI models and ontological application semantics, enabling interoperability across ecosystems like dbt, Legend, Palantir, custom applications and BI dashboards. We’ll show how OSI enables a durable way to define semantics once and use them everywhere, while insulating models from schema drift and accelerating cross-system integration in Snowflake.

A modern data ecosystem requires not just good quality, governed data, but semantic capabilities to empower business users in their BI tools of choice to drive AI. But what exactly are semantics? How are large companies like BlackRock incorporating semantics into their strategy? And what products is Snowflake building to empower our clients to meet their business needs? Join BlackRock and Snowflake for lively discussion on the future of semantics in data.

Stop struggling with fragmented logic and start building a trusted data foundation in minutes. Join us to see how easy it is to create Snowflake Semantic Views that turn raw data into governed, actionable insights. We’ll demonstrate how our connected ecosystem allows your business logic to flow seamlessly from your data cloud to your AI agents and BI tools. This session also features a live demo of our latest "easy-to-build" semantic innovations.

Master AI-powered analytics in Snowflake. Learn how to leverage Snowflake's powerful AI SQL functions for advanced analytics on unstructured, time-series, and geospatial data. We'll also demonstrate how to use Semantic Views to bridge the gap between data and business understanding.