Learn from a comprehensive analysis of AI project failures in this 31-minute conference talk from Data Science Conference Europe 2022. Explore ten detailed case studies highlighting common mistakes made by managers, developers, and data scientists during AI product development. Discover why 85% of AI projects fail according to Gartner's research, and gain valuable insights into preventing these pitfalls. Master practical strategies for implementing crucial lifecycle changes that can significantly improve the success rate of AI product development and delivery.
Common Mistakes in Building AI Products - How to Avoid Project Failures
Data Science Conference via YouTube
Overview
Syllabus
Avoid mistakes building AI products | Karol Przystalski | DSC Europe 2022
Taught by
Data Science Conference
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