Gray D., Shellshear E. Why Data Science Projects Fail: The Harsh Realities of Implementing AI and Analytics, without the Hype

CRC Press, 2025. — 223 p. — (Data Science Series). — ISBN: 978-1-032-66030-1.The field of Artificial Intelligence, Data Science, and analytics is crippling itself. Exaggerated promises of unrealistic technologies, simplifications of complex projects, and marketing hype are leading to an erosion of trust in one of our most critical approaches to making decisions: data-driven.This book aims to fix this by countering the AI hype with a dose of realism. Written by two experts in the field, the authors firmly believe in the power of mathematics, computing, and analytics, but if false expectations are set and practitioners and leaders don’t fully understand everything that goes into Data Science projects, then a stunning 80% (or more) of analytics projects will continue to fail, costing enterprises and society hundreds of billions of dollars, and leading to non-experts abandoning one of the most important data-driven decision-making capabilities altogether.For the first time, business leaders, practitioners, students, and interested laypeople will learn what makes a Data Science project successful. The authors reveal the harsh realities of implementing AI and analytics by illustrating with many personal stories.Analytically Immature Organizations.
Strategy.
Process.
People.
Technology.
Analytically Mature Organizations.