The Chief AI Officer's Handbook. Master AI leadership with strategies to innovate, overcome challenges, and drive business growth - Helion

Tytuł oryginału: The Chief AI Officer's Handbook. Master AI leadership with strategies to innovate, overcome challenges, and drive business growth
ISBN: 9781836200840
stron: 336, Format: ebook
Data wydania: 2025-01-01
Księgarnia: Helion
Cena książki: 125,10 zł (poprzednio: 139,00 zł)
Oszczędzasz: 10% (-13,90 zł)
Chief Artificial Intelligence Officers (CAIOs) are now imperative for businesses, enabling organizations to achieve strategic goals and unlock transformative opportunities through the power of AI. By building intelligent systems, training models to drive impactful decisions, and creating innovative applications, they empower organizations to thrive in an AI-driven world. Written by Jarrod Anderson, Chief AI Officer at SYRV.AI, this book bridges the gap between visionary leadership and practical execution.
This handbook reimagines AI leadership for today’s fast-paced environment, leveraging predictive, deterministic, generative, and agentic AI to address complex challenges and foster innovation. It provides CAIOs with the strategies to develop transformative AI initiatives, build and lead elite teams, and adopt AI responsibly while maintaining compliance. From shaping impactful solutions to achieving measurable business outcomes, this guide offers a roadmap for making AI your organization’s competitive edge.
By the end of this book, you’ll have the knowledge and tools to excel as a Chief AI Officer, driving innovation, strategic growth, and lasting success for your organization.
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Spis treści
The Chief AI Officer's Handbook. Master AI leadership with strategies to innovate, overcome challenges, and drive business growth eBook -- spis treści
- 1. Why Every Company Needs a Chief AI Officer
- 2. Key Responsibilities of a Chief AI Officer
- 3. Crafting a Winning AI Strategy
- 4. Building High-Performing AI Teams
- 5. Data – the Lifeblood of AI
- 6. AI Project Management
- 7. Understanding Deterministic, Probabilistic, and Generative AI
- 8. AI Agents and Agentic Systems
- 9. Designing AI Systems
- 10. Training AI Models
- 11. Deploying AI Solutions
- 12. AI Governance and Ethics
- 13. Security in AI Systems
- 14. Privacy in the Age of AI
- 15. AI Compliance
- 16. Conclusion
- 17. Appendix