The book speaks to AI's issues, opportunities, and risks. It's every professional's guide to what amounts to insider trading. It's not a blue ocean anything and it's not a north star. It's a conversation about how executives should think about AI. It helps executives understand how AI will impact their companies and professional success.
The book speaks to AI's issues, opportunities, and risks. It's every professional's guide to what amounts to insider trading. It's not a blue ocean anything and it's not a north star. It's a conversation about how executives should think about AI. It helps executives understand how AI will impact their companies and professional success.
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.
Inhaltsangabe
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.
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.
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