In an era where artificial intelligence, analytics, and digital technologies are reshaping how organizations operate, traditional Six Sigma approaches are no longer sufficient on their own. While the principles of defect reduction and process control remain relevant, today's enterprises require faster insights, predictive capabilities, and intelligent decision-making.
Intelligent Six Sigma: Modern DMAIC for the Age of AI and Digital Transformation reimagines Six Sigma for the digital age. This book moves beyond classical tools and static data analysis to demonstrate how AI, advanced analytics, and automation can enhance every phase of the DMAIC framework-enabling organizations to shift from reactive problem-solving to proactive and predictive excellence.
Designed for leaders, transformation professionals, project and program managers, and quality practitioners, the book blends foundational Six Sigma thinking with modern digital practices. Readers will learn how to frame problems using AI-assisted insights, leverage real-time and big data for measurement, apply machine learning for deeper root-cause analysis, implement intelligent improvements, and sustain gains through predictive monitoring and digital governance.
Rather than focusing on certification exams or complex statistical formulas, this book emphasizes business impact, leadership judgment, and strategic value creation. Real-world examples and industry playbooks illustrate how Intelligent Six Sigma can be applied across manufacturing, IT and services, digital products, and AI-driven organizations.
At its core, this book positions Six Sigma not as a static quality methodology, but as a living, intelligent system for continuous improvement in a rapidly evolving digital world.
Who This Book Is ForBusiness and transformation leaders
Project, program, and portfolio managers
Six Sigma practitioners seeking modern relevance
AI, analytics, and digital transformation professionals
