Why 80% of AI Projects Fail
Kumar, Hari Prasanna
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Add to basketSold by PBShop.store US, Wood Dale, IL, U.S.A.
AbeBooks Seller since April 7, 2005
Condition: New
Quantity: Over 20 available
Add to basketNew Book. Shipped from UK. Established seller since 2000.
Seller Inventory # L2-9798196324857
AI is no longer optional. But for most organizations, success still feels frustratingly uncertain.
Every leader today is under pressure to “do something with AI.”
Competitors are moving. Vendors are promising breakthroughs. Teams are experimenting.
Yet despite billions being invested globally, most AI initiatives still fail to deliver meaningful business value.
Why?
Not because the technology doesn’t work.
But because organizations approach AI the wrong way.
Many leaders fall into the same traps:
The result?
Wasted investment. Failed pilots. Internal resistance. Lost momentum.
And increasingly, a dangerous competitive gap.
This book was written to change that.In Why 80% of AI Projects Fail, AI strategist, consultant, and technology leader Hari Prasanna Kumar breaks down the hidden reasons AI initiatives fail, and introduces a practical, business-first system to dramatically improve the odds of success:
The AI Success FrameworkA proven 5-Phase, 7-Pillar Framework designed to help organizations move from AI confusion to successful execution.
Inside this book, you will learn how to:
Unlike overly technical AI books, this is a practical executive guide written specifically for:
Whether you are just beginning your AI journey, struggling with stalled initiatives, or trying to move from isolated pilots to real business transformation, this book gives you a structured path forward.
You’ll gain a clear understanding of:
The 5 Execution PhasesReadiness → Strategy → Build → Deploy → Scale
The 7 Critical PillarsStrategy, Data, Technology, Governance, Implementation, People, and Partnerships
Because AI success is not about tools.
It is about building the system required for AI to succeed.
If you are serious about adopting AI without wasting time, money, credibility, and momentum, this book will help you do it right.The organizations that win with AI will not be the ones experimenting the most.
They will be the ones executing with the right system.
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