You’ve invested in AI.

You’ve hired data scientists.

You’ve launched pilot projects.

But nothing scaled.

Nothing transformed the business.

And worst of all — nothing really worked.

You’re not alone.

According to MIT, 95% of enterprise AI initiatives fail — not because of bad technology, but because of bad strategy, poor alignment, and cultural blind spots.

In this eye-opening episode, we break down the real reasons AI fails — and what the elusive 5% of successful companies are doing differently:

Why most AI projects never move past the pilot phase

The #1 reason AI fails: lack of clear business impact (not tech flaws)

How top performers align AI with real workflows — not vanity metrics

The hidden role of leadership, data culture, and cross-functional teams

Case studies from companies that turned AI into revenue, efficiency, and competitive edge

This isn’t about algorithms.

It’s about execution, clarity, and purpose.

🎧 If you’re tired of AI hype and ready for real answers, this episode reveals what MIT’s research really means for your organization.

Because the future doesn’t belong to those who experiment with AI.

It belongs to those who master it.

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Aap ne AI mein sarmaya lagaya hai۔

Data scientists ko bharta hai۔

Pilot projects launch kiye hain۔

Lekin kuch bhi scale nahi hua۔

Kuch bhi business ko nahi badla۔

Aur sab se bura — kuch bhi wakai kaam nahi kiya۔

Aap akelay nahi hain۔

MIT ke mutabiq، 95% enterprise AI initiatives nakaam hoti hain — taknologyi kharabi ki wajah se nahi، balki ghalt strategy، behtar talaqum, aur saqafati andha pan ki wajah se۔

Is daulat uthane wali qism mein، hum asal wajohat jaanayenge ke AI kyun nakaam hoti hai — aur wo 5% kamyab companies kya alag kar rahi hain:

Ziyada tar AI projects pilot stage se aage kyun nahi jati

AI ki #1 wajoh e nakaami: wazehi business asar ki kami (taknologyi khami nahi)

Kamyab companies kaise AI ko real workflows ke sath jama karti hain — na ke sirf numbers ke liye

Leadership, data culture, aur cross-functional teams ki chupki qeemat

Wo companies ke case studies jo AI ko revenue, efficiency, aur muqabla mein taaqat bana liya

Yeh algorithms ki baat nahi hai۔

Yeh execution، wazehi soch، aur maqasid ki baat hai۔

🎧 Agar aap AI ke hype se thak chuke hain aur wakai jawabat chahte hain — toh yeh episode aap ko batayega ke MIT ki taqleeb aap ki organization ke liye kya matlab rakhti hai۔

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Voiced by [Dr Soha]

Produced by [Team Praimeri]

Special thanks to [All our listeners on all platforms]

For collabs & partnerships: praimeri99gmail.com

© Praimeri | All rights reserved

Podcast Episode Duration: 7:05

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