Sustainable manufacturing is the mantra of Industry 5.0 applications. We want to improve the quality of processes to enable Zero Defect Manufacturing (ZDM) and Zero Waste Manufacturing (ZWM), and produce with zero defects and zero waste. ZDM and ZWM require innovative Big Data and Machine Learning (ML) solutions. The project intends to address the problem by extending the IT platforms already developed by the partnership by introducing new methodologies and tools. In the ML field, the topics of real-time inference, the quality of data generated by production equipment and on-board machine learning will be addressed. In the Big Data field, MLOps solutions will be created to keep ML models updated and efficient as production processes change and enable dynamic and contextual learning. To achieve these ambitious objectives, the project will make use of a partnership of laboratories and companies with motivated and proven skills. The Big Data and ML services created by the project will be validated in real use cases provided by the partnership companies and specifically selected because they are highly representative. With DISSEM, companies in Emilia-Romagna will have a high TRL "semi-finished product" that can be easily customized for their production processes.