Description

Book Synopsis

Introduction and Background.- Project Phases and Common Project Pitfalls.- Five Methods to Avoid Common Pitfalls.- Define Phase.- Making the Business Case: Assigning Value to Your Project.- Acquisition and Exploration of Data Phase.- Model Building Phase.- Interpret and Communicate Phase.- Deployment Phase.- Considerations for Generative AI Projects in the Enterprise.- Summary of the Five Methods to Avoid Common Pitfalls.

Why AIData Science Projects Fail

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    A Paperback by Joyce Weiner

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      Publisher: Springer
      Publication Date: Publication Date: 6/18/2025
      ISBN13: 9783031908699, 978-3031908699
      ISBN10: 3031908694
      Also in:
      Computing Artificial intelligence (AI)

      Description

      Book Synopsis

      Introduction and Background.- Project Phases and Common Project Pitfalls.- Five Methods to Avoid Common Pitfalls.- Define Phase.- Making the Business Case: Assigning Value to Your Project.- Acquisition and Exploration of Data Phase.- Model Building Phase.- Interpret and Communicate Phase.- Deployment Phase.- Considerations for Generative AI Projects in the Enterprise.- Summary of the Five Methods to Avoid Common Pitfalls.

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