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

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SKU 9781032660301
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by Douglas Gray (Author), Evan Shellshear (Author)

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.

Author Biography

Douglas Gray is a practitioner, leader, and educator with over 30 years of experience leading award-winning teams at industry luminaries in Analytics, including INFORMS Prize-winning American Airlines and Walmart. His teams have delivered advanced game-changing solutions in the airline operations, healthcare, and omnichannel retail supply chain domains which deliver hundreds of millions of dollars in business value and economic impact annually. He teaches Analytics and AI Strategy at Southern Methodist University (SMU) in the Executive MBA, Executive Education, and MS Data Science programs, and has published over a dozen articles on Analytics best practices and applications.

Dr Evan Shellshear is an expert in artificial intelligence with a Ph.D. in Game Theory from the Nobel Prize winning University of Bielefeld in Germany. He has almost two decades of international experience in the development and design of AI tools for a variety of industries having worked with the world's top companies on all aspects of advanced analytical solutions from optimisation to machine learning in applications from HR to oil and gas, and robotics to supply chain. He is also the author of the Amazon best seller, Innovation Tools. Evan is currently based in Brisbane, Australia and is the CEO of a global AI digital platform.

Number of Pages: 208
Dimensions: 0.47 x 9.21 x 6.14 IN
Illustrated: Yes
Publication Date: September 05, 2024

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