Unprecedented technological and scientific developments are taking place in the field of Artificial Intelligence (AI). AI applications shape our daily lives and increase the efficiency of working processes in many areas. Integrating data-driven machine learning into Cyber-Physical Systems (CPS) also offers sustainability benefits in many ways, including increasing the reliability and lifetime of equipment, reducing faults and energy consumption while improving the productivity and overall product quality. This presentation will provide insights based on previous experiences from applying Machine Learning to CPS in the industrial setting to enable real-time monitoring and intelligent decision-making.