AI-First Leader

A Practical Guide to Organizational AI Leadership
1. Auflage 2025
ISBN: 978-1-041-09823-2
Verlag: Taylor & Francis Ltd

Buch, Englisch, 232 Seiten, Format (B × H): 156 mm x 234 mm

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.

Zielgruppe

Professional Practice & Development and Professional Reference

Autoren/Hrsg.

Mehta, Bhavesh

Kumar, Mahesh

Fachgebiete

• Wirtschaftswissenschaften Betriebswirtschaft Bereichsspezifisches Management Management: Führung & Motivation
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Wirtschaftswissenschaften Betriebswirtschaft Management Unternehmensorganisation & Entwicklungsstrategien

Inhaltsverzeichnis

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 Afterword:The Future is Ours to Build

Über Autor(innen)

Bhavesh Mehta, Senior Manager, Uber, USA. Mehta is a seasoned technology leader with over 20 years of experience in AI, machine learning, and enterprise software development. At organizations like Uber and Cisco, he has led transformative initiatives, including deploying generative AI-powered chatbots and automation solutions that significantly improved customer satisfaction and operational efficiency. Mehta is an advisor to the generative AI startup Envoq and holds multiple patents in AI, distributed systems, and virtualization, showcasing his deep technical expertise.

Mahesh  Kumar is a strategic product leader with more than 20 years of experience in generative AI, cloud infrastructure, and enterprise software. Having held leadership roles at Veritas, VMware, and Uber, Kumar has driven $1B+ product portfolios, developed enterprise partnerships with AI leaders like OpenAI and Google, and scaled transformative SaaS solutions to market dominance. With a dual background in systems engineering and marketing, Kumar combines technical expertise with business acumen, enabling him to align cutting-edge AI innovations with strategic enterprise goals.