Why Data Science Projects Fail: The Harsh Realities of Implementing AI and Analytics, Without the Hype

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.

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Categoria: Intelligence (ai) & Semantics
Autor: Douglas Gray
Editura: CRC PRESS
An aparitie: 2024

Editie: Paperback

Nr. pagini: 208

Cod: BRT9781032660301

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Why Data Science Projects Fail: The Harsh Realities of Implementing AI and Analytics, Without the Hype

De (autor): Douglas Gray

Why Data Science Projects Fail: The Harsh Realities of Implementing AI and Analytics, Without the Hype

De (autor): Douglas Gray

Descrierea produsului

S-ar putea sa-ti placa si

From Data to Profit: How Businesses Leverage Data to Grow Their Top and Bottom Lines - Vin Vashishta

The Art of AI Product Development: Delivering Business Value with AI - Janna Lipenkova

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Radically Human: How New Technology Is Transforming Business and Shaping Our Future - Paul Daugherty

Practical Artificial Intelligence: An Enterprise Playbook - Kashyap Kompella

HBR's 10 Must Reads on AI, Analytics, and the New Machine Ag

Prediction Machines, Updated and Expanded: The Simple Economics of Artificial Intelligence - Ajay Agrawal

Artificial Intelligence: This Book Includes: Machine Learning for Beginners, Artificial Intelligence for Business and Computer Networking for B - David Brown

AI Bullseye Tactics For Non-Technical Business Leaders: Artificial Intelligence to Hit Business Value Targets, Tackle Unsolvable Problems, and Generat - Thomas Gilbertson

Operating AI: Bridging the Gap Between Technology and Business - Ulrika Jagare

Leadership by Algorithm: Who Leads and Who Follows in the AI Era? - David De Cremer

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Artificial Intuition: The Improbable Deep Learning Revolution - Carlos E. Perez

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The AI Republic: Building the Nexus Between Humans and Intelligent Automation - Mark Esposito

AI as Your Teammate: Electrify Growth without Increasing Payroll - Evan Ryan

Hands-On Deep Learning: A Guide to Deep Learning with Projects and Applications - Harsh Bhasin

Trustworthy AI: A Business Guide for Navigating Trust and Ethics in AI - Beena Ammanath

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