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 really 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 really makes a data science project successful. By illustrating with many personal stories, the authors reveal the harsh realities of implementing AI and analytics.
| ISBN: | 9781032660301 |
| Publication date: | 5th September 2024 |
| Author: | Evan Shellsear, Doug Gray |
| Publisher: | Chapman & Hall/CRC an imprint of CRC Press |
| Format: | Paperback |
| Pagination: | 214 pages |
| Series: | Chapman & Hall/CRC Data Science Series |
| Genres: |
Data science and analysis: general IT and information systems management Project management Digital and information technologies: social and ethical aspects Artificial intelligence |
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 really 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 really makes a data science project successful. By illustrating with many personal stories, the authors reveal the harsh realities of implementing AI and analytics.
Why Data Science Projects Fail features in the following genres: Artificial intelligence, Relational databases
Why Data Science Projects Fail is available in Paperback, Hardback
Why Data Science Projects Fail was written by Evan Shellsear, Doug Gray and published by Chapman & Hall/CRC an imprint of CRC Press
Why Data Science Projects Fail has 214 pages
Yes it is part of Chapman & Hall/CRC Data Science Series series
£36.89