AI at Work
Autor James Poulteren Limba Engleză Hardback – 20 aug 2026
AI at Work provides a framework that moves beyond scattered AI experiments toward a coherent strategy that will run throughout your entire company. Rather than focusing on technical capabilities or dystopian warnings, it utilizes a full-stack approach to harness AI's benefits while preserving what matters most - a firm's people, its values and its unique organizational identity.
The global AI market is projected to reach $1.8 trillion by 2030, with organizations across sectors racing to implement AI solutions. However, whilst 83% of executives report that AI is a top priority for their organization, only 23% have a comprehensive implementation strategy.
This book fills a critical gap between theoretical AI books and technical implementation guides by offering:
· A practical framework applicable across industries;
· equal emphasis on technological capability, ethical considerations and real-world applications;
· a human-centred approach that addresses concerns about AI replacing workers; and
· case studies and examples from diverse sectors.
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Specificații
ISBN-13: 9781350597921
ISBN-10: 1350597929
Pagini: 240
Dimensiuni: 156 x 234 x 25 mm
Greutate: 0.45 kg
Editura: BLOOMSBURY ACADEMIC
Locul publicării:London, United Kingdom
ISBN-10: 1350597929
Pagini: 240
Dimensiuni: 156 x 234 x 25 mm
Greutate: 0.45 kg
Editura: BLOOMSBURY ACADEMIC
Locul publicării:London, United Kingdom
Cuprins
Introduction: From FOMO to FOAO
Part One: Building Better Intelligence
Chapter 1: Beyond Algorithms - Understanding Large Language Models
Chapter 2: The Data Challenge - Making Models Work for You
Chapter 3: Infrastructure for Intelligence
Part Two: Ethical Intelligence
Chapter 4: The Human in the Loop
Chapter 5: Developing AI Gut Instinct
Chapter 6: The AI Seatbelt Problem
Part Three: Practical Applications
Chapter 7: The New Work Paradigm
Chapter 8: Use Cases That Win
Chapter 9: Building Your AI Adoption Roadmap
Conclusion: The Future-Ready Organisation
Appendix: Tools and Resources
Part One: Building Better Intelligence
Chapter 1: Beyond Algorithms - Understanding Large Language Models
Chapter 2: The Data Challenge - Making Models Work for You
Chapter 3: Infrastructure for Intelligence
Part Two: Ethical Intelligence
Chapter 4: The Human in the Loop
Chapter 5: Developing AI Gut Instinct
Chapter 6: The AI Seatbelt Problem
Part Three: Practical Applications
Chapter 7: The New Work Paradigm
Chapter 8: Use Cases That Win
Chapter 9: Building Your AI Adoption Roadmap
Conclusion: The Future-Ready Organisation
Appendix: Tools and Resources