Inside AI
eBook - ePub

Inside AI

Over 150 billion purchases per year use this author's AI

  1. 216 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Inside AI

Over 150 billion purchases per year use this author's AI

About this book

Separate the AI facts from the AI fiction, and discover how you can best put these tools to work in your organization. In Inside AI AI professor and entrepreneur Dr. Akli Adjaoute puts AI in perspective, with informed insights from 30 years spent in the field. His book lays out a pragmatic blueprint that every leader can utilize to drive innovation with artificial intelligence. In Inside AI you'll learn how to:

  • Gain insight into diverse AI techniques and methodologies
  • Learn from both successful and failed AI applications
  • Identify the capabilities and limitations of AI systems
  • Understand successful and failed uses of AI in business
  • See where human cognition still exceeds AI
  • Bust common myths like AI's threat to jobs and civilization
  • Manage AI projects effectively


Inside AI takes you on a journey through artificial intelligence, from AI's origins in traditional expert systems all the way to deep learning and Large Language Models. There's no hype here—you'll get the grounded, evidence-based insights that are vital for making strategic decisions and preparing your business for the future. About the technology Artificial Intelligence enthusiasts promise everything from human-like collaboration on everyday tasks to the end of work as we know it. Is AI just a flash in the pan, or can it really transform how you do business? This intriguing book sifts through the hype and separates the truth from the myths, with clear advice on what AI can—and can't—achieve. About the book Inside AI provides a clear-headed overview of modern artificial intelligence, including the recent advances of Generative AI and Large Language Models. Its accessible and jargon-free explanations of leading AI techniques showcase how AI delivers tangible advantages to businesses. Both inspiring and practical, this book provides a proven framework for developing successful AI applications. What's inside

  • Insights from successful and failed AI applications
  • A survey of AI techniques and methodologies
  • Bust common AI myths
  • Manage AI projects effectively


About the reader For anyone seeking grounded insights into AI's capabilities, including business leaders and decision makers. About the author Akli Adjaoute is the founder of multiple AI-related companies. He served as an adjunct professor at the University of San Francisco and as Scientific Committee Chair and Head of the AI department at EPITA. The technical editor on this book was Richard Vaughan. Table of contents 1 The rise of machine intelligence
2 AI mastery: Essential techniques, Part 1
3 AI mastery: Essential techniques, Part 2
4 Smart agent technology
5 Generative AI and large language models
6 Human vs. machine
7 AI doesn't turn data into intelligence
8 AI doesn't threaten our jobs
9 Technological singularity is absurd
10 Learning from successful and failed applications of AI
11 Next-generation AI
A Tracing the roots: From mechanical calculators to digital dreams
B Algorithms and programming languages

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Yes, you can access Inside AI by Akli Adjaoute in PDF and/or ePUB format, as well as other popular books in Informatica & Informatica generale. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Manning
Year
2024
eBook ISBN
9781638354871

Table of contents

  1. Praise for Inside AI
  2. Inside AI
  3. copyright
  4. contents
  5. dedication
  6. foreword
  7. preface
  8. acknowledgments
  9. about the book
  10. about the author
  11. about the cover illustration
  12. 1 The rise of machine intelligence
  13. 2 AI mastery: Essential techniques, Part 1
  14. 3 AI mastery: Essential techniques, Part 2
  15. 4 Smart agent technology
  16. 5 Generative AI and large language models
  17. 6 Human vs. machine
  18. 7 AI doesn’t turn data into intelligence
  19. 8 AI doesn’t threaten our jobs
  20. 9 Technological singularity is absurd
  21. 10 Learning from successful and failed applications of AI
  22. 11 Next-generation AI
  23. appendix A Tracing the roots: From mechanical calculators to digital dreams
  24. appendix B Algorithms and programming languages
  25. epilogue
  26. references