How Executives Should Think About AI

Straight Talk About the Inevitable
1. Auflage 2025
ISBN: 978-1-041-09798-3
Verlag: Taylor & Francis Ltd (Sales)

Buch, Englisch, 170 Seiten, Format (B × H): 140 mm x 216 mm, Gewicht: 345 g

Much of what is said about AI is misleading – or just plain wrong. It’s also sometimes intended to frighten everyone about a future that’s unlikely to occur (think Bill Gates, Elon Musk, Steve Wozniak and Geoffrey Hinton, among others). AI will not steal children, hold hostages for bitcoins or start nuclear wars. But it will fundamentally change business through the intelligent automation of many routine – and nonroutine – tasks that companies perform all the time. Old business models will die as fast as new ones emerge. Whole industries will be reengineered, reinvented and reimagined. Some will be displaced altogether. Some industries will be disrupted in every sense of the word – in just three-to-five years. In fact, it’s already begun.

How Executives Should Think About AI: Straight Talk About the Inevitable prepares executives for the AI future. It’s not a complicated treatise on AI, or a theoretical look at how new technology can transform business models and processes. It’s a series of conversations masquerading as chapters designed to help executives quickly understand AI, what it can do and what they should do about AI, machine learning (ML) and generative AI (GenAI) right now. These conversations about AI are intended to get executives up to speed on AI, ML and GenAI so that they become “AI comfortable” in many ways, including launching a steady stream of demonstration prototypes to help their companies explore AI's capabilities and potential benefits.

These timely conversations can help executives understand how AI will impact their companies and their professional success. It’s straight talk about the most important technology since the Internet. Executives have no choice but to embrace AI to accomplish their professional goals. This book helps accomplish these goals. It helps them make decisions about what AI can and cannot do for their companies.

Zielgruppe

Professional Practice & Development and Professional Reference

Autoren/Hrsg.

Andriole, Stephen J

Fachgebiete

• Wirtschaftswissenschaften Betriebswirtschaft Management Strategisches Management
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Wirtschaftswissenschaften Betriebswirtschaft Management Wissensmanagement

Inhaltsverzeichnis

I. Executive Perspectives. 1. The Surprising Lack of Intelligence About Artificial Intelligence. 2. Why AI is So Special. 3. Why Classical IT Needs Some AI Jazz. 4. How Machine Learning and Generative AI Change Business. 5. How AI Actually Works. 6. Time to Play AI. II. Executive Actions. 7. AIQ Tests. 8. Find Individual AI Contributors. 9. Sourcing AI. 10. Demos All Day Long. 11. Govern AI With Care. 12. Watch the Regulators. III. Executive Awareness. 13. Good and Bad AI. 14. Donald Trump and Taylor Swift. 15. Track Major Technology Trends. 16. Digital Transformation Isn’t About ERP Anymore – It’s About AI. 17. Resignations and AI, Industry by Industry. 18. AI Leadership Consensus at Your Own Risk. 19. Don’t Worry About Affective Computing (Or the Singularity). 20. AI Will Become Huge Cloud Services with Massive Ecosystems. 21. How Generative AI Owns Education and Training. 22. Technology, AI and Ethics. IV. Conclusion. 23. Should Machines Replace Us All?. 24. Some Parting Thoughts.

Über Autor(innen)

Stephen J. Andriole’s career has focused on the development, application and management of information technology and analytical methodology to problems in government and industry. Dr. Andriole has addressed them from academia, government, his own consulting companies, a global insurance and financial services company, a pharmaceutical company, the perspective of a public venture operating company, a private equity venture capitalist, a corporate director and an Angel investor. The focus of his career has been on technology innovation, the optimization and management of technology, and technology adoption, deployment and governance. He has pioneered the application of AI and ML, interactive systems design, technology due diligence and the tracking and application of emerging business technologies.