AI-First Leader : A Practical Guide to Organizational AI Leadership

個数：

予約

AI-First Leader : A Practical Guide to Organizational AI Leadership

Mehta, Bhavesh/ Kumar, Mahesh

ウェブストア価格 ¥12,998（本体¥11,817）
CRC Press（2025/10発売）
外貨定価 US$ 66.99
ポイント 118pt

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製本 Paperback:紙装版/ペーパーバック版／ページ数 208 p.
言語 ENG
商品コード 9781041098232

Full Description

AI-First Leader is a practical guide for executives, technology leaders, and decision-makers seeking to turn artificial intelligence into a strategic advantage. As AI rapidly reshapes how organizations operate and compete, this book provides a clear roadmap from initial awareness to enterprise-wide adoption. It equips leaders with the tools to navigate both the promise and complexity of today's AI landscape, including machine learning, generative AI, and autonomous systems.

Blending technical clarity with strategic insight, the book is anchored in real-world frameworks and brought to life through the fictional yet highly realistic case study of NovaBridge Health, a mid-sized healthcare system navigating the risks and rewards of AI transformation. Through this narrative, readers gain firsthand insight into overcoming early missteps, building trust, aligning AI systems with KPIs, and scaling responsibly in regulated environments. Topics span foundational and advanced concepts, from data governance, model evaluation, and prompt engineering to the deployment of AI agents, resilient infrastructure, and responsible AI practices. Actionable insights, decision frameworks, and sector-specific examples help leaders bridge the gap between innovation and execution.

Written for CEOs, CTOs, product managers, and innovation leads, AI-First Leader demystifies AI without diluting its complexity. Whether you're building your first chatbot, deploying generative search and co-pilots, or shaping guardrails for enterprise-wide use, this book provides the blueprint to lead with AI strategically, responsibly, and at scale.

Section I: AI Essentials: What Every Leader Must Know 1. The AI Imperative 2. AI's Evolution and Strategic Impact 3. Machine Learning for Leaders 4. Generative AI Architectures Section II: AI at Work: Optimizing, Deploying, and Scaling AI Systems 5. Optimizing Generative AI 6. AI Agents and Autonomy 7. Infrastructure, Security and Reliability Section III: AI Advantage: Driving Transformation, ROI, and Responsible Innovation 8. Generative AI Across Sectors 9. AI ROI Frameworks 10. Leading AI Transformations 11. Responsible AI