📢 Call for Papers: Workshop su MLOps – Bridging the Gap Between Models and Production.

In recent years, the integration of machine learning and deep learning models into real-world applications has highlighted significant operational challenges in building, deploying, monitoring, and maintaining the models.

🔍 MLOps has emerged as a key approach to address these challenges, aiming to automate, scale, and make ML workflows reproducible.

From October 25 to 30, 2025, MLOps25, the first ECAI Workshop on MLOps, will be held in Bologna. The DARE Foundation will be an institutional partner, with a focus on the theme of artificial intelligence for healthcare.

📚 We invite researchers, professionals, and teams to submit contributions on the following topics (and beyond):
– MLOps frameworks
– ML systems lifecycle management
– ML pipelines orchestration
– Practices to ensure ML model reproducibility, traceability, and explainability
– Continuous integration/continuous delivery (CI/CD) practices for ML models
– ML model monitoring and observability
– Application of MLOps principles to large language models (LLMOps)
– ML-specific architecture design and patterns
– Experience reports on real-world MLOps applications
– Challenges in applying MLOps to specific domains (e.g., healthcare and finance)
– Ethics and Accountability in MLOps
– AutoML applications in MLOps
– Collaboration and team dynamics in MLOps
– Regulatory and policy aspects of MLOps
– MLOps strategies for Green AI
– Security and data privacy in MLOps

📅 Paper submission deadline:
Tuesday, 20th May 2025

The papers must comply with the CEURART style required by the CEUR Workshop Proceedings. Authors can use the LaTeX, Word (DOCX), or LibreOffice (ODT) templates available here. https://lnkd.in/gNP8n2MR.

An Overleaf model is available here: https://lnkd.in/eMDfPTAs

Please use the one-column version and make sure to use the Libertinus font as specified in the templates.

All papers must be submitted in “double blind” mode (authors’ names must be omitted from the submission) and uploaded via the EasyChair submission site: https://lnkd.in/eDBfBM-Z

Each paper will receive at least two reviews from the program committee.

Event link: https://collab.di.uniba.it/mlops/

We look forward to reading your contributions and participating in the stimulating discussions on MLOps that will take place during the workshop, aiming to build the foundations for increasingly robust and efficient ML operations.

hashtag#fondazioneDARE hashtag#DAREfoundation hashtag#DIgitalLifelongPrevention hashtag#MLOps hashtag#CallForPapers hashtag#AI hashtag#MachineLearning hashtag#DeepLearning hashtag#DataScience hashtag#LLMOps hashtag#GreenAI hashtag#MLinProduction hashtag#AIethics