Super Data Science: ML & AI Podcast with Jon Krohn 979: Agentic Data Management and the Future of Enterprise AI, with Rohit Choudhary
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Mar 31, 2026 Rohit Choudhary, founder and CEO of Acceldata, builds agentic data management to make enterprise data self-aware and AI-ready. He discusses data observability, real-time operational governance, fixing errors at ingestion, and how exploding data volumes and agents reshape teams and careers. Short, sharp takes on making legacy data useful for ML and why domain clarity will trump pure coding.
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Offer Both NoCode And Generated Code
- Provide both natural-language agent flows for business users and generated code/workflows for engineers since different personas prefer different interfaces.
- Acceldata supports prompts, drag-and-drop, and generated deployable code to cover simple and complex scenarios.
Catch Data Problems At Ingestion
- Fixing data at ingestion is far cheaper than remediating errors at consumption because downstream impacts compound costs and regulatory risk.
- Rohit used a driving crash metaphor to explain why early braking (ingestion fixes) avoids expensive downstream ‘crashes’.
Assess Data AI Readiness Multidimensionally
- Test AI readiness across technical accuracy, business context, and verifiability rather than only schema checks.
- ADM recommends rules, applies them, executes remediations, and traces business context to ensure facts align with policies.
