Why Data Science Projects Fail: The Harsh Realities of Implementing AI

Language: English

Published by Taylor & Francis Ltd, 2024

1032660309 / 9781032660301

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Douglas Gray, Taylor & Francis Ltd. 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.

Seller Inventory # 9781032660301

Title
Why Data Science Projects Fail: The Harsh Realities of Implementing AI
Author
Douglas Gray
Publisher
Taylor & Francis Ltd
Publication year
2024
Book Type
Paperback
Binding
Paperback
Language
English
ISBN 10
1032660309
ISBN 13
9781032660301
Item weight
340 grams
Dimensions
156

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