Snowflake Intelligence and Cortex-Ready Data Products

It's no surprise that organizations are intensely focused on driving meaningful ROI from their AI investments. However, achieving that return is extremely difficult when critical data lives in fragmented silos (internally and externally), requiring complex, costly and often insecure data movement processes just to move and combine it. This legacy approach introduces unnecessary risk, especially as AI agents will need to leverage every data source available.

This session introduces a modern solution: secure, interoperable and well-managed data products. We will show how data products provide a clean, trusted mechanism for packaging data and seamlessly sharing, both internally and with external partners, making them the essential, scalable fuel for your most advanced AI use cases.

In this session, we will discuss how to build, govern and leverage next-generation data products to power AI capabilities. You’ll learn how to:
 

• Implement a modern data product architecture: Build and share secure, interoperable data products that minimize data movement and seamlessly feed into Cortex Agents, Snowflake Intelligence and other AI use cases.
• Ensure secure data products for AI use: Rigorous management of data products is critical, especially when internal and external datasets are combined and leveraged. Learn how to do this securely to power AI agents and BI tools.
• Manage data products for agentic scale: Discover new Snowflake features like Resharing, Cortex Agent Integration with Data Products (via Internal Marketplace) and Data Product BCDR to ensure your data assets are well-managed, versioned and resilient for high-demand, agent-driven use cases.

Ready to future-proof your data product strategy and safely accelerate your journey to AI? Register now to secure your spot and see these powerful capabilities in action.