Description: 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.
Price: 27.34 USD
Location: Matraville, NSW
End Time: 2024-11-28T23:27:34.000Z
Shipping Cost: 0 USD
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Item Specifics
Restocking Fee: No
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 60 Days
Refund will be given as: Money Back
EAN: 9781032660301
UPC: 9781032660301
ISBN: 9781032660301
MPN: N/A
Item Height: 1.2 cm
Item Weight: 0.31 kg
Number of Pages: 210 Pages
Language: English
Publication Name: Why Data Science Projects Fail : The Harsh Realities of Implementing AI and Analytics, Without the Hype
Publisher: CRC Press LLC
Publication Year: 2024
Subject: Enterprise Applications / Business Intelligence Tools, Intelligence (Ai) & Semantics, Computer Science, General
Type: Textbook
Author: Douglas Gray, Evan Shellshear
Subject Area: Mathematics, Computers
Item Length: 9.2 in
Item Width: 6.1 in
Series: Chapman and Hall/Crc Data Science Ser.
Format: Trade Paperback
