In the past few years, we have witnessed a number of important advances in the industrial data systems landscape, centered around major industry trends such as the emergence of "all-in-one" Lakehouse architectures, the support for new hardware platforms, the predominance of cloud-based systems, and the continued adoption of ML/AI techniques for a wide range of purposes, from advanced analytics and user interfaces to query optimization, resource management and system autonomics. These advances pose a number of important research challenges and opportunities for innovation in the industrial data systems space; these include, for instance, managing the enormous system complexity of this new generation of data engines, providing seamless integration and support for new heterogeneous hardware and accelerator architectures, and effectively exploiting the state-of-the-art advances in ML/AI (such as novel foundation models and agentic AI).

The IDSR workshop aims to bring together leading industry researchers and practitioners to discuss the state of the industrial data systems field, including recent trends, developments and accomplishments, as well as ongoing challenges and future directions for industrial research and systems development. The program will be structured to promote interactive discussion and exchange of ideas across major industry players, through insightful presentations and open discussion sessions/panels. The end goal of the workshop will be to produce an Asilomar-style report on the state of industrial data systems research comprising contributions from all workshop participants.