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Why Data Science Projects Fail

- The Harsh Realities of Implementing AI and Analytics, without the Hype
Af: Evan Shellshear, Douglas Gray Engelsk Paperback

Why Data Science Projects Fail

- The Harsh Realities of Implementing AI and Analytics, without the Hype
Af: Evan Shellshear, Douglas Gray Engelsk Paperback
Tjek vores konkurrenters priser

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.

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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.

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Se mere i:
Produktdetaljer
Sprog: Engelsk
Sider: 208
ISBN-13: 9781032660301
Indbinding: Paperback
Udgave:
ISBN-10: 1032660309
Kategori: Relationsdatabaser
Udg. Dato: 5 sep 2024
Længde: 16mm
Bredde: 157mm
Højde: 232mm
Forlag: Taylor & Francis Ltd
Oplagsdato: 5 sep 2024
Forfatter(e): Evan Shellshear, Douglas Gray
Forfatter(e) Evan Shellshear, Douglas Gray

Kategori Relationsdatabaser

ISBN-13 9781032660301

Sprog Engelsk

Indbinding Paperback

Sider 208

Udgave

Længde 16mm

Bredde 157mm

Højde 232mm

Udg. Dato 5 sep 2024

Oplagsdato 5 sep 2024

Forlag Taylor & Francis Ltd

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