At this year's Teradata Analytics Universe event, I shared some of the lessons I have learned over the years from my research and deployment of artificial intelligence (AI) and machine learning (ML) solutions, across multiple organisations, domains and industries. During my talk, "Artificial Intelligence and Machine Learning - Lessons and Opportunities", I explained that data science aims at resolving problems raised by customers, and in order to do that, data scientists use a number of technologies, such as ML, AI and deep learning. The focus is primarily centred on finding the right solutions to arising problems, spanning from the identity fraud to the prevention of equipment failure. To do that, data scientists must be capable of choosing the right tool amongst a myriad of them; because only the right tool will lead to the right solution. Data science s aim is to reach the right solution and not to just develop complex algorithms.