Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
AI Isn't Enough: How Data and People Turn Technology into Real Transformation

AI Isn't Enough: How Data and People Turn Technology into Real Transformation

DiMartino, Jane

Paperback

Business General

ISBN13: 9798897641413
Publisher: Million Dollar Author
Published: Dec 18 2025
Pages: 96
Weight: 0.27
Height: 0.20 Width: 5.50 Depth: 8.50
Language: English
AI is already shaping how we shop, work, and make decisions whether we realize it or not.
But technology alone isn't the answer.

The hype says artificial intelligence will change everything.
The reality? AI can't deliver real impact without people, judgment, and trust.

Most AI books focus on tools, predictions, or technical breakthroughs. AI Isn't Enough takes a different approach. Drawing on more than twenty years of hands-on experience leading transformation across healthcare, finance, and technology, Jane DiMartino shows why success depends less on algorithms and more on how people, data, and decisions come together.

This is not a technical manual. It's a practical, human guide for anyone trying to understand what AI actually means in everyday business and life.

AI already influences:

  • The products we're shown
  • The services we're offered
  • The decisions organizations make about customers and employees
Yet many leaders and professionals feel overwhelmed or unsure how to respond. This book helps cut through the noise.

AI Isn't Enough is written for:

  • Business and organizational leaders
  • Managers and everyday professionals navigating change
  • Investors evaluating AI-driven claims
  • Students and early-career professionals entering an AI-shaped workforce
Inside the book, you'll learn:
  • Why traditional org charts fail in a world driven by customer, employee, and data journeys
  • How data literacy and data academies empower entire organizations not just data science teams
  • What to look for behind the label AI-powered or AI-driven
  • Lessons from real-world transformations that succeeded and those that didn't
  • A clear framework for moving beyond hype to deliver measurable results
AI can be a powerful catalyst - but only when paired with intelligence that isn't artificial.

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