

Why AI Builders Need a Metadata Goldmine with Chris Aberger, VP at Alation
8 snips Jun 18, 2025
Chris Aberger, VP at Alation and co-founder of Numbers Station AI, dives into the transformative role of metadata in AI applications. He discusses the challenges of making structured data AI-ready and why quick iterations are vital for success. Chris emphasizes the importance of feedback loops in enhancing AI effectiveness and empowers end-users to become builders through innovative tools. The conversation also sheds light on navigating the complexities of AI deployment and the importance of collaboration in the evolving tech landscape.
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Startup Born from Stanford Research
- Numbers Station began from a Stanford research paper on applying LLMs to structured data.
- The founders quickly converted this insight into a startup, launching the company within eight months.
Iterate Fast to Solve Real Problems
- Iterate quickly to find product-market fit and learn what buyers truly need.
- Focus on solving executive purchaser problems rather than only enhancing data engineer productivity.
Beyond Chat: Agentic Workflows
- Chat with your data is a useful entry point but not the end goal.
- The evolution is toward agentic workflows that get things done on data, not just deliver insights.