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Practical Adoption Challenges of ML for Systems

PACMI: 5th Workshop on Practical Adoption Challenges of ML for Systems

In conjunction with
ACM Symposium on Operating Systems Principles 2026
September 29, 2026 - October 2, 2026
Clarion Congress Hotel Prague
Prague, Czech Republic

Systems Operating Systems Computer Science

Focuses on what it takes to move machine learning for systems from papers into production. The gap between a paper’s reported improvement and a production deployment is the subject. Topics include retraining and drift, debugging learned components, and whether the operational cost of a learned system beats a simple heuristic. Maintenance is the recurring theme: a learned component needs retraining, monitoring and rollback, none of which a heuristic requires.

  For more information, visit the workshop website

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