Because of the vast tokens generated by agentic A.I. workflows, my guest today Rohit Choudhary sees enterprise data soon increasing at nearly 10x per YEAR. He's zen though... because he's built the platform to handle it...
More on Rohit:
Founder and CEO of Acceldata, a Bay Area software company that has raised nearly $100m in venture capital to advance data observability and Agentic Data Management for the A.I. era.
Previously, was Director of Engineering at Hortonworks, where he led large-scale distributed systems initiatives across open-source data platforms.
Some of the great topics covered in this episode:
How Rohit coined the term "data observability" in 2018.
Fixing bad data at the point of consumption can be roughly a thousand times more expensive than catching and fixing it as it flows through the pipeline.
For your enterprise data to be AI ready, they need to satisfy multiple dimensions, incl. technical accuracy and business-context compliance.
Enterprise data grow 4-5x year-over-year now, accelerating to nearly 10x soon, driven largely by the explosion of A.I. agents generating queries and activity at a scale that dwarfs human users.
The most valuable developers won't necessarily be the best programmers — they'll be the ones with the clearest thinking, the deepest domain expertise, and the curiosity to articulate precisely what outcomes they need.
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