This lecture explores the concept of smart, connected products, focusing on the transformation they bring to companies. It covers topics such as system of systems, smart product applications, digital manufacturing at Airbus/Boeing, artificial intelligence, machine learning, deep learning, predictive models, forecasting methods, and the power of data. The implications of predictive models, forecasting steps, and methods are discussed, along with the comparison of quantitative methods. The lecture also delves into supervised vs unsupervised learning, regression vs classification, and problem type definitions. Recommended books and examples from electric vehicles are provided to illustrate the practical applications of the discussed concepts.