AI POC Pass लेकिन Live System Fail? Enterprise AI Explained (Hindi)

Описание: Video Topic : Enterprise AI क्यों POC में Success लेकिन Production में Fail हो जाती है? | Explained in Hindi 2026
🤖🏢 Enterprise AI POC में तो work करती है, लेकिन production में fail क्यों हो जाती है?

इस वीडियो में हम आसान Hindi में समझेंगे कि Enterprise AI projects Proof of Concept (POC) में successful होने के बावजूद real production environment में क्यों fail हो जाते हैं।

आज companies AI POC तो बना लेती हैं, लेकिन जब scale, security, compliance और real users आते हैं — तब problems शुरू होती हैं।

इस वीडियो में हम discuss करेंगे:
✔️ AI POC vs Production का real difference
✔️ Data, governance और infrastructure issues
✔️ Cost, scalability और reliability challenges
✔️ Enterprise AI failures के real reasons
✔️ Production-grade AI कैसे बनाया जाता है

👉 इस वीडियो में आप सीखेंगे:
✅ Enterprise AI क्या होता है (Simple Hindi)
✅ POC success का illusion क्यों होता है
✅ AI models production में क्यों break करते हैं
✅ Governance, auditability & compliance की role
✅ Data quality & integration failures
✅ AI Production best practices (2026)
✅ How companies can move from POC to scalable AI

📌 यह वीडियो देखने के बाद आपको clear समझ आ जाएगा कि
Enterprise AI का असली game POC नहीं, बल्कि production deployment है।

💡 POC proves idea. Production proves value.

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Most AI projects look perfect in POC…
but collapse in production.

Why?

Because Enterprise AI ≠ AI Demo.

In this video, I explain why AI POCs succeed but fail when deployed at enterprise scale, especially in banks, enterprises, government systems, and regulated industries.

🧩 In this video, you’ll learn:

Why AI POC success does NOT guarantee production success

The real difference between AI in Enterprise vs Enterprise AI

Why controlled environments lie

How probabilistic AI breaks deterministic systems

What causes silent failures, drift, and confident wrong decisions

Why enterprises need governance, control planes, and decision accountability

How to think about Enterprise AI readiness in 2026

This video is not about tools or models.
It is about operating AI as a decision-making system inside an enterprise.

If you are:

A CTO / CIO

A product leader

A tech architect

Or someone confused why AI pilots don’t scale

👉 This video will change how you think about AI deployment.

🔗 Must-Read Reference (Pinned / Description Link)

📌 Enterprise AI Operating Model (Canonical Guide):
👉 https://www.raktimsingh.com/enterpris...


What is Enterprise AI
AI POC vs Production Explained
Why AI fails in production
Enterprise AI challenges
AI governance & compliance
Data quality issues in AI
Scalable AI architecture
Enterprise AI best practices 2026
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ai compliance and governance
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future of enterprise ai

– Why AI works in POC but fails in production
– The biggest myth: POC success = AI maturity
– Controlled environments vs messy reality
– Deterministic systems vs probabilistic AI
– Why production amplifies AI failure
– Drift, confidence, and silent errors
– Enterprise AI ≠ Digital transformation
– Governance, accountability & control planes
– What Enterprise AI really needs in 2026
– Final mental model every leader must remember


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