Inside AI
Taschenbuch

Inside AI

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Beschreibung

<b>Separate the AI facts from the AI fiction, and discover how you can best put these tools to work in your organization.</b><br><br>In <i>Inside AI</i> 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.<br><br>In <i>Inside AI</i> you’ll learn how to:<ul> <li>Gain insight into diverse AI techniques and methodologies</li> <li>Learn from both successful and failed AI applications</li> <li>Identify the capabilities and limitations of AI systems</li> <li>Understand successful and failed uses of AI in business</li> <li>See where human cognition still exceeds AI</li> <li>Bust common myths like AI’s threat to jobs and civilization</li> <li>Manage AI projects effectively</li> </ul><br><i>Inside AI</i> 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.<br><br>Foreword by Raymond Kendall.<br><br><b>About the technology</b><br><br>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.<br><br><b>About the book</b><br><br><i>Inside AI</i> 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 practi

Artikeldetails

EAN
9781633437722
Sprache
Englisch
Einband / Art
Taschenbuch
Maße
232 x 184 x 13 mm
Erscheinungsjahr
2024
Verlag / Hersteller
Manning

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Inside AI

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