The AI Gap

How Business Decisions Expand What AI Can Do
1. Auflage 2027
ISBN: 978-1-3986-3225-7
Verlag: Kogan Page Ltd

Buch, Englisch, 280 Seiten, Format (B × H): 156 mm x 234 mm

Turn enterprise AI into a source of strategic insight, not just productivity gains.

The AI Gap by leading AI expert and keynote speaker Richard Foster-Fletcher shows business and technology leaders how to unlock greater value from enterprise AI by changing the structures, processes and culture surrounding it. Organizations invest in AI expecting new intelligence and transformative insights. Yet AI is often introduced through procurement, security, legal and compliance systems designed for standard software, restricting its potential before it can deliver on that promise. This book explains why this gap persists and what organizations must change to close it. You'll learn how to:

- Identify organizational barriers limiting the value of AI - Move beyond productivity-focused AI implementation - Create conditions where AI can generate deeper insights - Enable employees to explore, experiment and challenge established thinking - Build structures and cultures where enterprise AI can flourish The AI Gap equips leaders to rethink AI implementation, create space for experimentation and turn artificial intelligence into a powerful driver of organizational insight and long-term business value. Themes include: enterprise AI, AI implementation, AI strategy, business transformation, organizational culture, AI innovation

Autoren/Hrsg.

Foster-Fletcher, Richard

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Wirtschaftswissenschaften Betriebswirtschaft Management Unternehmensgründung
• Wirtschaftswissenschaften Betriebswirtschaft Management Strategisches Management
• Wirtschaftswissenschaften Betriebswirtschaft Management Unternehmensorganisation & Entwicklungsstrategien

Inhaltsverzeichnis

• • Chapter - 00: Introduction;
• Section - ONE: What happens when AI is treated like software;
• • Chapter - 01: What AI was supposed to be – how the corporate AI promise became smaller as the technology became stronger;
  • Chapter - 02: The enterprise playbook and why it fails with AI;
  • Chapter - 03: What the enclosure is – how safety, compliance, audit and retrieval controls narrow AI before it reaches the user;
• Section - TWO: How intelligence gets subtracted;
• • Chapter - 04: What gets lost – how safer AI output becomes less useful for senior judgement;
  • Chapter - 05: When AI is only the interface – why useful enterprise tools can fall short of the intelligence claim;
  • Chapter - 06: When AI becomes mandatory – how performance expectations attach to tools whose real capability remain unclear;
• Section - THREE: Beyond the approved tool;
• • Chapter - 07: The distant frontier and the single-model trap – how leaders can whether approved AI is delivering;
  • Chapter - 08: Where the routes lead – how the institution’s own architecture decides which paths to AI capability open and which close;
  • Chapter - 09: The shifting ground – why the conditions that made the current configuration work are changing, and what the institution that moves now can do about it;
  • Chapter - 10: Conclusion

Über Autor(innen)

Foster-Fletcher, Richard
<b>Richard Foster-Fletcher </b>is an experienced speaker, consultant and independent AI researcher. As founder and Chair of MAKI, an independent AI research organization, he examines what artificial intelligence does to organization and how it changes the institutional architecture for judgement, governance, reporting and senior decision-making. He is a LinkedIn Top Voice and was ranked by Favikon as one of the Top 20 AI researchers in the UK. He is based in Milton Keynes, UK.

Richard Foster-Fletcher is an experienced speaker, consultant and independent AI researcher. As founder and Chair of MAKI, an independent AI research organization, he examines what artificial intelligence does to organization and how it changes the institutional architecture for judgement, governance, reporting and senior decision-making. He is a LinkedIn Top Voice and was ranked by Favikon as one of the Top 20 AI researchers in the UK. He is based in Milton Keynes, UK.