Systems | Development | Analytics | API | Testing

Your data team doesn’t need more tools. It needs fewer bottlenecks. What if you could go from raw data to production-ready pipelines and AI workflows in a single day? With Snowflake’s Cortex Code, teams can now build, optimize, and deploy data workflows using natural language, dramatically accelerating development inside the warehouse.

Introducing Episode 1 of Data Builder Club: a series to celebrate the data leaders behind the most impactful data systems. In this episode we sit down with Matt Forrest, Director of Customer Engineering at Wherobots, geospatial advocate, and LinkedIn's go-to voice for modern data and spatial engineering. Matt opens up about his unconventional path into data, his philosophy around building reliable geospatial systems, and why a good foundation is the only thing that makes everything else possible.

Every company has an AI roadmap. Very few have the data infrastructure to execute it. At Hevo Data, we've spent 8 years building pipelines that are reliable, simple, and transparent so 2,000+ data teams can build without second-guessing their data. We sat down with Manish Jethani, Amit Gupta, and Scott Husband to talk about what comes next. If your data isn't AI-ready, your roadmap stays a roadmap. We've re-engineered the platform to serve as the context engine your AI vision actually runs on. Because the models are only as good as the data underneath them.