Super Data Science: ML & AI Podcast with Jon Krohn 957: How AI Agents Are Automating Enterprise Data Operations, with Ashwin Rajeeva
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Jan 13, 2026 Ashwin Rajeeva, cofounder and CTO of Acceldata, dives into the world of AI agents in data management. He explains how Acceldata raised over $100 million to automate data quality and streamline operations using autonomous pipelines that repair errors without human help. Ashwin emphasizes the importance of having humans in the AI loop for validation. He also discusses solving data sprawl, his leadership philosophy, and techniques for retaining tech talent. Get insights into effective engineering practices and the balance between innovation and enterprise needs.
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AI Needs Context To Use Enterprise Data
- AI models lack inherent knowledge of an enterprise's internal data, so they need a context-providing engine to act usefully on company data.
- Acceldata's X-Lake reasoning engine connects across lakes and supplies that metadata and access context to agents for accurate actions.
Specialized Agents Power ADM
- Acceldata decomposes data management into specialized agents that handle tasks like cataloging and quality checks.
- When ADM receives a query it orchestrates these agents to gather metadata and execute the required actions.
Translate Prompts Into Cluster Queries
- Querying petabyte-scale, multi-cloud data requires an index and tooling that translate intent into cluster-level execution.
- X-Lake provides the interface that turns AI-written SQL into scalable queries on the enterprise compute stack.
