ML4Sys & Sys4ML 2027
Third Workshop on ML for Systems and Systems for ML
March 16, 2027 · co-located with BTW 2027 at LMU Munich
Third Workshop · Co-located with BTW 2027
ML4Sys & Sys4ML brings together researchers and practitioners working at the intersection of machine learning and data systems for a full day of invited talks, short contributed presentations, and discussion. This edition asks: how do developments in LLMs and agentic AI shape the ML4Sys and Sys4ML community?
- Date
- March 16, 2027 (full day)
- Venue
- LMU Munich, co-located with BTW 2027
- Contributions
- Extended abstracts, 2–4 pages (excluding references)
Important Dates
- Submission Deadline
- December 8, 2026
- Notification
- December 18, 2026
- Workshop Day
- March 16, 2027
About the Workshop
Machine learning has become increasingly important for the design and operation of data systems. The database community has explored how learning can improve components that traditionally relied on hand-crafted algorithms and heuristics, establishing ML for Systems as an important research direction. In the opposite direction, ML applications depend on the efficient management and processing of large and complex data, and techniques developed by the database community can improve the efficiency, scalability, and reliability of ML systems. This forms the basis of Systems for ML.
Since the previous editions, this landscape has changed substantially. Foundation models, Large Language Models, and agentic AI expand the role AI can play within a data system: beyond learning individual components, AI can increasingly reason about and interact with different parts of a system. At the same time, these new forms of AI introduce new requirements for how data is managed, processed, and made available to increasingly complex AI applications.
The third edition provides a forum for the database community to discuss this evolving landscape. While LLMs and agentic AI are a timely focus, the workshop retains its broad scope and welcomes contributions across both ML for Systems and Systems for ML.
Organizers
Junior Professor, Data-Intensive Systems
Ruhr University Bochum; Athene Young Investigator, TU Darmstadt
Science Manager, Department of Computer Science & AI
University of Technology Nuremberg
Announcements
| Oct 2026 | The call for extended abstracts is open. Website is live. |
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