From Raw Data to AI-Ready: Build Live Pipelines in Minutes
In this session you will learn:
Understand why AI projects fail when data is stale, fragmented, and unreliable
Discover how to build AI-ready pipelines and stream data to Snowflake in minutes
Explore how to run pipelines reliably in production without constant fixes
Power real AI and analytics use cases from clean, centralized data
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Agenda
Everyone is investing in AI, but most teams are blocked by one thing: their data isn’t ready. Data is scattered across SaaS tools, pipelines break silently, and insights are delayed. Without fresh, reliable, and centralized data, AI models, dashboards, and real-time use cases simply don’t work.
In this session, we’ll show how to turn fragmented data into an AI-ready foundation in minutes. You’ll see how to build a live pipeline, automatically handle schema changes, and stream data into Snowflake without heavy engineering effort. We’ll also cover how this foundation powers downstream AI and analytics use cases, from real-time insights to LLM-driven workflows.
Speaker
Dan Murphy
Speaker
Hevo Data