The AI revolution is not waiting for you to be ready. The World Economic Forum estimates that 44% of the workforce's core skills will be disrupted by 2027. McKinsey projects that generative AI could augment 60 to 70 percent of the time employees spend on current tasks. The professionals who will thrive are not those who compete with AI - they are the ones who learn to lead alongside it.
This book is a comprehensive, practical guide for business professionals who need to understand generative AI, evaluate its opportunities and risks, and move from understanding to implementation - without becoming data scientists.
Written by Dr. Giancarlo Crocetti, an assistant professor of AI, founding director of the St. John's AI Institute, and a former senior analytics leader with nearly two decades in the pharmaceutical industry, this book brings together academic rigor and industry experience in a single, practitioner-focused resource.
What you will gain:
A practical mental model for understanding how AI systems work, where they create value, and where they introduce risk.
Hands-on frameworks for prompt engineering, workflow design, agentic AI systems, tool evaluation, and security assessment - each with templates you can deploy immediately.
Strategic decision tools for evaluating AI opportunities, building AI-capable teams, and making evidence-based governance decisions.
A capstone methodology - the 90-Day AI Adoption Roadmap - that walks you through translating what you have learned into a concrete implementation plan you can present to your leadership team.
The book spans five parts: foundational AI concepts, how large language models actually work and why they hallucinate, structured prompt engineering and workflow design, implementation realities including enterprise platforms and human-AI collaboration, and strategic leadership including ethics, the OWASP Top 10 for LLM applications, responsible governance, and scaling from proof of concept to production.
Every chapter concludes with Business Reflections that connect the material to your organization, Action Items for immediate progress, and Key Takeaways that reinforce the essential insights. Eight appendices provide ready-to-use templates for every major framework introduced in the book - from prompt engineering and workflow documentation to security assessment and governance policy. These are working tools, not illustrations.
This is not a book about what generative AI might do someday. It is a book about what you can do with it now - this quarter, in your role, with the tools available to you today.
Also serves as the companion text for The Institute for Machine Learning's Professional Certification Program. Visit www.i4ml.com for more information.
