For many years, the Smart Data Innovation Lab (SDIL) has developed approaches and implemented data science use cases based on industrial datasets. It established flexible processes and enabled SMEs and other industrial partners to leverage cutting-edge computing infrastructures. Thus the SDIL approach innovates data science methods through the joint partnership of academic and industrial partners and gained significant experience over the years. The Smart Data Innovation – Services (SDI-S) project will contribute to the SDIL by developing a service catalogue that combines this experience with concrete service offers by academic partners for SMEs and industrial partners. BMBF provides funding for this project for two years, and the project coordinator is the Karlsruhe Institute of Technology (KIT). Forschungszentrum Jülich is a project partner alongside the Fraunhofer Society, the German Research Centre for Artificial Intelligence (DFKI), SAP, IBM, and Software AG. The Jülich Supercomputing Centre will offer specific services for domain-specific data sciences approaches in remote sensing and healthcare. JSC will also provide more general applicable services like hyperparameter optimization and model training speed-up using distributed deep learning.