Why VCs regret not investing in Acceldata - From IIT to Silicon Valley
Tue Jan 27 2026
Enterprise AI doesn’t fail because models are weak.
It fails because data pipelines break, permissions drift, costs explode, and governance is treated like an annual checkbox instead of everyday operational discipline.
In this episode of Intelligent Indians!, Vikram Vaidyanathan sits down with Rohit Choudhury, Founder & CEO of Acceldata, for a deep conversation on how enterprise data systems actually behave at scale and why AI makes every weak foundation visible.
Rohit’s founder journey mirrors the last 15 years of data infrastructure: from scaling InMobi in the pre-cloud era, to the Hadoop days at Hortonworks, to pioneering data observability, and now pushing into Agentic Data Management as enterprises move from AI pilots to production.
The conversation goes deep into:
1. Why AI POCs often work in one team but collapse at enterprise scale 2. The real cost of fixing data late, and why ingestion is the only place to fix it3. How AI agents change the stakes: real-time failures, hallucinations explainability and ai updates4. A practical playbook for CIOs and CDOs: SLAs, rapid experimentation, and leadership upskilling5. Why cost control is becoming existential, from reruns to cloud bills to private/hybrid AI
The “India edge” in building global enterprise companies, and what DPI × AI could unlock next
Watch the full episode to understand what it really takes to make AI work at enterprise scale.
Chapters:
00:00 Why AI POCs Fail at Scale in Enterprises02:30 Introducing Rohit Choudhury (Acceldata Founder)05:30 Early Days at InMobi & Rewriting the Stack 3 Times08:30 First Startup Failure & Learning Customer Obsession11:30 Birth of the Data Observability Category14:30 How Enterprise Data Pipelines Really Work (1000+ Apps)18:00 Why Enterprises Need End-to-End Data Visibility21:00 COVID Story & Missed Investment Moment24:00 Why hallucinations are dangerous for enterprises27:00 Governance in AI30:00 How Banks Should Prepare for AI at Scale (4 Steps)33:30 Why Leaders Must Learn AI Themselves (Cursor Story)36:30 From Tool Sprawl to One Agentic Platform39:30 Cost Explosion: Cloud vs Private AI42:30 Self-Healing Data & Preventing AI Hallucinations45:00 – Future of Enterprise AI & Closing Thoughts
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Website - https://www.z47.com/Instagram - https://www.instagram.com/z47.vc/LinkedIn - https://www.linkedin.com/company/z47-vc/
#podcast #podcasts #future #ai #aiindia #aicourses #aiupdates
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Enterprise AI doesn’t fail because models are weak. It fails because data pipelines break, permissions drift, costs explode, and governance is treated like an annual checkbox instead of everyday operational discipline. In this episode of Intelligent Indians!, Vikram Vaidyanathan sits down with Rohit Choudhury, Founder & CEO of Acceldata, for a deep conversation on how enterprise data systems actually behave at scale and why AI makes every weak foundation visible. Rohit’s founder journey mirrors the last 15 years of data infrastructure: from scaling InMobi in the pre-cloud era, to the Hadoop days at Hortonworks, to pioneering data observability, and now pushing into Agentic Data Management as enterprises move from AI pilots to production. The conversation goes deep into: 1. Why AI POCs often work in one team but collapse at enterprise scale 2. The real cost of fixing data late, and why ingestion is the only place to fix it3. How AI agents change the stakes: real-time failures, hallucinations explainability and ai updates4. A practical playbook for CIOs and CDOs: SLAs, rapid experimentation, and leadership upskilling5. Why cost control is becoming existential, from reruns to cloud bills to private/hybrid AI The “India edge” in building global enterprise companies, and what DPI × AI could unlock next Watch the full episode to understand what it really takes to make AI work at enterprise scale. Chapters: 00:00 Why AI POCs Fail at Scale in Enterprises02:30 Introducing Rohit Choudhury (Acceldata Founder)05:30 Early Days at InMobi & Rewriting the Stack 3 Times08:30 First Startup Failure & Learning Customer Obsession11:30 Birth of the Data Observability Category14:30 How Enterprise Data Pipelines Really Work (1000+ Apps)18:00 Why Enterprises Need End-to-End Data Visibility21:00 COVID Story & Missed Investment Moment24:00 Why hallucinations are dangerous for enterprises27:00 Governance in AI30:00 How Banks Should Prepare for AI at Scale (4 Steps)33:30 Why Leaders Must Learn AI Themselves (Cursor Story)36:30 From Tool Sprawl to One Agentic Platform39:30 Cost Explosion: Cloud vs Private AI42:30 Self-Healing Data & Preventing AI Hallucinations45:00 – Future of Enterprise AI & Closing Thoughts Follow Z47 Website - https://www.z47.com/Instagram - https://www.instagram.com/z47.vc/LinkedIn - https://www.linkedin.com/company/z47-vc/ #podcast #podcasts #future #ai #aiindia #aicourses #aiupdates