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Artificial intelligence, or AI, can recognize a pattern from any set of data it is given, which is what makes it such an extraordinarily powerful tool. But because not all patterns are authentic or reliable, AI's pattern-finding superpower can lead to spurious patterns—and to disastrous results for business and government entities that rely on them. Hence the conundrum at the heart of AI: its greatest strength can also be its greatest weakness. Targeting the businessperson who needs to know how to use AI profitably and responsibly, Caleb Briggs and Rex Briggs offer in this book a foundational understanding of AI that is easy to grasp yet thorough enough to be used effectively.
Artificial intelligence, or AI, can recognize a pattern from any set of data it is given, which is what makes it such an extraordinarily powerful tool. But because not all patterns are authentic or reliable, AI's pattern-finding superpower can lead to spurious patterns—and to disastrous results for business and government entities that rely on them. Hence the conundrum at the heart of AI: its greatest strength can also be its greatest weakness. Targeting the businessperson who needs to know how to use AI profitably and responsibly, Caleb Briggs and Rex Briggs offer in this book a foundational understanding of AI that is easy to grasp yet thorough enough to be used effectively.
Rex Briggs is an award-winning AI and data expert who holds five patents and has helped build multiple AI businesses. He currently serves as subject matter expert in AI for the marketing trade association MMA Global. He is the coauthor of What Sticks and the author of SIRFs-Up.
Greg Stuart
Preface
Introduction
Part 1 - The Fundamentals of Artificial Intelligence
1 - Artificial Intelligence Is Not Human Intelligence
2 - How AI Fits Patterns
3 - How AI Uses Gradient Descent
4 - Edge Cases, Compression, and the Limits of Associative Intelligence
5 - Precision, Input Control and the Rationale for Decisions
6 - Assessing Risk in AI Applications
Part 2 - Opportunities, Risks, Countermeasures, and Critical Questions
7 - Case Studies in AI: The AI Revolution in the Sales and Marketing
8 - Case Studies in AI: Translations, MRIs, Fraud Detection, Autonomous Vehicles, and Labor
9 - Case Studies in AI: Using AI to Trade in Markets
10 - Cases Studies in AI: Bias in Facial Recognition, Hiring and Advertising
11 - The Conundrum
Acknowledgements
Notes
Index
| Erscheinungsjahr: | 2026 |
|---|---|
| Fachbereich: | Management |
| Genre: | Importe, Wirtschaft |
| Rubrik: | Recht & Wirtschaft |
| Medium: | Taschenbuch |
| Inhalt: | Einband - flex.(Paperback) |
| ISBN-13: | 9780262053969 |
| ISBN-10: | 0262053969 |
| Sprache: | Englisch |
| Einband: | Kartoniert / Broschiert |
| Autor: |
Briggs, Caleb
Briggs, Rex |
| Hersteller: | The MIT Press |
| Verantwortliche Person für die EU: | Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de |
| Abbildungen: | 11 B&W PHOTOS, 21 LINE DRAWING S, 40 CHARTS |
| Maße: | 222 x 151 x 22 mm |
| Von/Mit: | Caleb Briggs (u. a.) |
| Erscheinungsdatum: | 03.03.2026 |
| Gewicht: | 0,308 kg |
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