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Generative AI in Action: A Complete Enterprise Transformation Case Study
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- FormatePub
- ISBN8232061401
- EAN9798232061401
- Date de parution15/01/2026
- Protection num.pas de protection
- Infos supplémentairesepub
- ÉditeurDraft2Digital
Résumé
Generative AI is not the next technology upgrade-it is a test of how enterprises think, decide, and evolve."Generative AI in Action" goes beyond hype, tools, and theoretical promises to tell the realistic story of what it actually takes to transform a complex enterprise in the age of intelligent systems. Through the unfolding journey of Apex Dynamics Global, this book reveals how organizations confront stagnation, legacy constraints, cultural resistance, and leadership uncertainty-and how Generative AI becomes the catalyst for reinvention when approached with clarity and discipline.
Rather than treating GenAI as an IT initiative, this book reframes it as an enterprise-wide transformation spanning strategy, operating models, data, governance, finance, culture, and human-AI collaboration. Readers are taken inside boardroom debates, early missteps, governance dilemmas, and hard-earned breakthroughs that separate scalable impact from failed experimentation. This is not a book about building chatbots or chasing the latest models.
It is a practical, experience-driven guide to designing intelligent workflows, embedding responsible governance, measuring real ROI, and enabling people to work with AI-not around it. The case-study format makes complexity tangible, showing how decisions unfold over time and why intentional design matters more than speed alone. Written for executives, transformation leaders, architects, and practitioners, Generative AI in Action offers a grounded roadmap for organizations that know change is inevitable-but want to pursue it deliberately, responsibly, and at scale.
If your enterprise is exploring Generative AI, this book shows what it truly means to turn curiosity into capability-and capability into lasting advantage.
Rather than treating GenAI as an IT initiative, this book reframes it as an enterprise-wide transformation spanning strategy, operating models, data, governance, finance, culture, and human-AI collaboration. Readers are taken inside boardroom debates, early missteps, governance dilemmas, and hard-earned breakthroughs that separate scalable impact from failed experimentation. This is not a book about building chatbots or chasing the latest models.
It is a practical, experience-driven guide to designing intelligent workflows, embedding responsible governance, measuring real ROI, and enabling people to work with AI-not around it. The case-study format makes complexity tangible, showing how decisions unfold over time and why intentional design matters more than speed alone. Written for executives, transformation leaders, architects, and practitioners, Generative AI in Action offers a grounded roadmap for organizations that know change is inevitable-but want to pursue it deliberately, responsibly, and at scale.
If your enterprise is exploring Generative AI, this book shows what it truly means to turn curiosity into capability-and capability into lasting advantage.
