Contents
Why AI projects fail?3
Unrealistic expectations4
Wrong problem statement4
Wrong understanding of business4
Wrong Data4
Data size4
Limited EDA (Exploratory Data Analysis)4
Wrong tools, model and people4
Wrong success metrics5
Conclusion:5
Making AI Success