Snowflake Connect: Analytics

Modern product experiences, in-app analytics, operational dashboards, alerting, personalization, all require fresh data and instant responsiveness, without added architectural complexity.

In this launch session, we’ll unveil Real-Time Streaming Analytics in Snowflake: a new capability that combines near real-time ingestion with sub-second, high-concurrency analytics all done within Snowflake.

Learn how teams can eliminate separate streaming and serving layers, simplify their data stack, and deliver truly interactive analytics on continuously updating data.

SAP and Snowflake are expanding what’s possible with enterprise analytics and AI with a groundbreaking new partnership that unlocks the full power of SAP data. Learn how the new zero-copy integration with SAP Business Data Cloud is enabling customers to activate their SAP data in Snowflake alongside the full enterprise context—so analytics and AI are driven by a shared, governed understanding of the business. We’ll spotlight how Cortex Code accelerates creating Semantic Views over blended data products, how Cortex AI enables context-aware models and agents that fully understands your SAP data, and how Snowflake Intelligence makes insights easy to discover and share across teams.

The biggest barrier to trusted AI isn’t data volume, but the Semantic Gap. Without a unified logic layer, AI agents hallucinate and BI dashboards drift, creating a crisis of trust.

Enter Snowflake Semantic Views: A native, governed object that acts as the single source of truth for your entire data estate. In this session, we will explore how Semantic Views unify your business logic, context, and security into one executable layer that serves both AI agents and BI tools instantly.

But we don’t just stop at the architecture. We will also demonstrate Semantic View Autopilot (SVA), the AI powered Semantic Layer that eliminates the manual grind of building these models. See how SVA leverages your Query History to automatically create baseline models, iterate on logic as your business evolves, and ensure accuracy through a human-in-the-loop playground.

Learn how to build a semantic layer that is defined by governance, powered by AI, and trusted by everyone.

Location data powers modern operations. In this session, we’ll explore how Snowflake enables operational intelligence using geospatial analytics, from foundational capabilities to what’s new and next. 

We’ll showcase solution patterns, including dwell analysis, congestion detection, routing, and delivery operations optimization, and demonstrate how customers can analyze and operationalize location data end-to-end in the Snowflake AI Data Cloud.

Your data already lives in your lakehouse, but delivering fast, governed analytics and AI at scale remains a challenge. We will showcase how bringing Snowflake’s highly price-performant engine directly to your lakehouse enables you to access data in place with elastic, isolated compute and unified governance. Together, these capabilities, combined with built-in agentic intelligence in a fully managed platform, eliminate infrastructure complexity and accelerate innovation.

Data warehouse migration doesn’t have to be a barrier to innovation. See how SnowConvert AI automates and accelerates migrations to Snowflake, reducing complexity, improving accuracy and speeding up time to value, so that you can focus on modernizing and growing your business, not manual migration work.