eBook - ePub

Why Data Science Projects Fail

Name: Why Data Science Projects Fail
ISBN: 9781040126301

The Harsh Realities of Implementing AI and Analytics, without the Hype

Douglas Gray,

Evan Shellshear,

214 pages
English
ePUB (mobile friendly)
Available on iOS & Android

eBook - ePub

Why Data Science Projects Fail

The Harsh Realities of Implementing AI and Analytics, without the Hype

Douglas Gray,

Evan Shellshear,

About this book

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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Yes, you can access Why Data Science Projects Fail by Douglas Gray,Evan Shellshear in PDF and/or ePUB format, as well as other popular books in Computer Science & Business Intelligence. We have over one million books available in our catalogue for you to explore.