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Why AI Projects Fail - Coggle Diagram
Why AI Projects Fail
AI systems don't solve the right problem
Lack of Clear Business Objectives
Focusing on Technology instead of Needs
Ignoring User-Centered Design
AI Innovation Gap
Research Focus vs. Business Needs
Technical Expertise Gap
Data Infrastructure Limitations
AI Systems Can't Achieve Good Enough Performance and are not Useful
Data Quality Issues
Model Selection and Training Challenges
Overfitting and Generalization Problems
People miss low-hanging fruit
Bias towards Sophisticated Solutions
Lack of Understanding of AI Capabilities:
Ignoring Basic Data Analysis
AI systems don't generate enough value
Unrealistic Expectations
Poor Alignment with Business Goals
Inability to Scale
Ethics, Bias, and Societal Harm
Bias in Data and Algorithms
Lack of Transparency and Explainability
Job displacement and Economic Disruption