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AI Value Creators
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AI Value Creators

by Rob Thomas, Paul Zikopoulos, and Kate Soule

Artificial Intelligence

Book Details

Book Title

AI Value Creators

Author

Rob Thomas, Paul Zikopoulos, and Kate Soule

Publisher

O'Reilly Media, Inc

Publication Date

2025

ISBN

9781098168346

Number of Pages

703

Language

English

Format

PDF

File Size

4.38MB

Subject

Artificial Intelligence

Table of Contents

  • Preface
  • Chapter 1: +AI to AI+: Generative AI and the “Netscape Moment”
  • What Is a “Netscape Moment”?
  • AI and the Magical Moment
  • Moving Your Business from +AI to AI+
  • Before You Do Anything, Change Your Mental Model from +AI to AI+
  • Before You Start Your Journey, Classify the Budget and Identify How AI Is Going to Help
  • Become a Shifty Business: Shift Left, and Then, You Can Shift Right!
  • Tips for Harnessing Foundation Models and GenAI for Your Business
  • And with That, Let’s Focus on the AI Part
  • Chapter 2: Oh, to Be an AI Value Creator
  • AI Through the Years: The AI “Time Lapse” Section
  • AI Value Creation Should Be Your Destination
  • Planning Your AI Future: A Future with Many GenAI Models
  • The Future of AI
  • Let’s Get into It
  • Chapter 3: Equations for AI Persuasion
  • Some Things Are Timeless
  • One Last Piece of Advice: See AI as a Value Generator, Not a Cost Center
  • Wrapping Up
  • Chapter 4: The Use Case Chapter
  • The Use Case Value Creation Curve
  • Going Horizontal Gets You the Most Vertical
  • A Smattering of Use Cases—Vertically Speaking
  • Endless Possibilities: More Industries Where GenAI Shines
  • The Building Blocks of AI
  • Chapter 5: Live, Die, Buy, or Try—Much Will Be Decided by AI
  • LLMs—The Stuff People Forget to Tell You
  • Good Actor Levers for All Things AI
  • Regulations—The Section That Wasn’t Supposed to Be
  • Wrapping It Up
  • Chapter 6: Skills That Thrill
  • Let the Skilling Begin
  • The Path to AI+ Requires Scaling Skills Across a Broad Spectrum of Roles
  • AI—Job Destroyer or Job Creator?
  • Levers of Clever: Unlocking a Skills Program That Lasts Forever
  • Case Study: IBM’s Skills Challenge—the CEO Asked; We All Responded
  • The Final Word
  • Chapter 7: Where This Technology Is Headed—One Model Will Not Rule Them All!
  • The Bigger the Better, Right? Perhaps at the Start, But That Was a Long Time Ago
  • The Rise of the Small Language Model
  • Where Are We Going Next? Small Language Models...Assemble!
  • Agentic Systems
  • Wrapping It Up
  • Chapter 8: Using Your Data as a Differentiator
  • Customizing Open Source for the Enterprise: A New Way of Looking at Enterprise Data
  • Stand Up and Represent!...Your Data
  • The Future Is Open, Collaborative, and Customizable
  • Chapter 9: Generative Computing—A New Style of Computing
  • The Building Blocks of Computing
  • Not Back to the Future; Back to Computer Science
  • How Models Are Built in Generative Computing
  • From Generative Computing to a Generative Computer—What Does All of This Mean for Hardware?
  • The Final Prompt: Wrapping It All Up
  • Index
  • About the Authors