Artificial intelligence, AI, Machine Learning, Deep Learning, Data Science, Data visualization terminology used in a new branch of IT services. This can be quite confusing. AI may lead to great business innovation but also to huge disappointment. To avoid disappointment, don’t start your AI project with the currently available data. If you start with the currently available data that is generated by old/current inefficient processes you miss out on the opportunity of fundamental business innovation and to experience the innovative power of AI.
You also need to manage end-user expectations, otherwise, the AI solution will never be trusted, accepted and used. One way to manage this acceptance by making the end-users responsible for training the AI solution and make them responsible for the quality of the decisions made by the AI solution.