The First Workshop on Data-AI Systems @ ICDE 2025 Large language models (LLMs) have garnered significant interest due to their impressive capabilities on various tasks. However, integrating LLM-powered agents in applications that operate over complex data ecosystems poses significant challenges related to heterogeneous data management and discovery while balancing trade-offs involving cost, latency, accuracy, interpretability, and trustworthiness. Within such ecosystems, dubbed compound AI systems, agentic workflows often deal with a wide variety of information, such as proprietary data in an enterprise, multilingual low-resource data, and heterogeneous data types and formats, among others. Therefore, robust integration of LLM agents in real-world applications necessitates a systems approach to tackle these challenges and ensure effective and efficient utilization of heterogeneous data. This workshop will explore innovative approaches toward building such data-aware compound AI systems in the era of LLMs while balancing objectives such as cost, efficiency, robustness, and interpretability. It will be a full-day workshop involving invited talks representative of the work done in these communities, research presentations, and a panel discussion exploring the design space of compound AI systems. A list of topics relevant to this workshop (but not limited to): - knowledge discovery from heterogeneous/multi-modal data sources (cross-modal data discovery, metadata management for enabling querying over heterogeneous data, ...) - interaction with heterogeneous data (natural language query over structured data, multi-modal retrieval augmentation, declarative languages for agentic workflows) - compound AI system architectures for agentic workflows (frameworks for designing compound AI systems, multi-modal query planning and optimization with novel operators, ...) - usability in compound AI systems (fact-checking and verification of agent generations, human-agent interactions, fairness and explainability of LLM-based AI systems, ...) - benchmarking and fine-grained evaluation of components in compound AI systems ===========Important Dates============= - January 20, 2025: Paper submission due date - February 20, 2025: Notification of acceptance - March 10, 2025: Camera-ready version due - May 19, 2025: Workshop Date Note: All deadlines are 11:59 PM Pacific Time ===========Submission Instructions============= Submissions should present original results and substantial new work not currently under review or published elsewhere. The following submissions are accepted: Regular research papers (up to 8 pages) Short research, application, and vision papers (up to 4 pages) The page limit for both tracks excludes the references. No appendix is allowed. Papers must be submitted via Microsoft CMT. Only electronic submissions in PDF format will be considered. Manuscripts must be prepared following the same rules as ICDE conference papers, i.e., in accordance with the IEEE format available here. A paper submitted to DAIS cannot be under review for any other conference or journal. All accepted papers will appear in the conference proceedings. All accepted papers are expected to be presented at the workshop, and at least one author is required to register. Read more: https://dais-workshop-icde.github.io/index.html#cfp