Building Production-Ready Data Products on Snowflake using AI
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Agenda
AI is no longer an external layer. With Snowflake AI capabilities, combined with a real-time ingestion layer from Hevo, you can now build internal and external data products and AI workflows directly within Snowflake.
Join Mandeep Singh, a recognised Snowflake Data Superhero, for a hands-on workshop focused on building AI-powered, production-ready data products on Snowflake. This interactive session goes beyond theory to show how data products are actually designed, structured, and operationalised using Snowflake’s native capabilities like secure data sharing, along with Hevo for reliable upstream data ingestion.
You will walk away with a clear framework to move from raw, multi-source data to reliable, reusable, AI-powered data assets that teams can depend on.
What you'll learn
Building data products and flow-like pipelines from the ground up
From pipelines to AI-powered data products
internal vs external use cases
Designing AI-native architecture with Hevo and Snowflake
Activating data products using Snowflake AI and secure data sharing
Diagnosing failure points in freshness, schema, and reliability
Building production-ready, scalable, and reusable data systems
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