Implementing AI is fraught with challenges.

The journey of any organization transitioning to fully-adopt AI is fraught with challenges:

• Need to build judgment: AI is costly and it is easy to get it wrong. You could spend months building a model and then realize that an underlying hypothesis was wrong and you have to start all over again.
• Need for change management: People within most critical functions of the organization will have to change, up skill, or retrain to adopt AI. AI will also mandate change in mandate/scope/power of various stakeholders. None of this is easy.
• Need to expand talent pool: There is limited AI/ML talent pool in the market and the number of companies competing for the same is high.