PURPOSE
Purpose
Examine the choices behind useful machine learning, from problem framing and validation to deployment constraints and the work needed after a model reaches users.
Dates: February 2-3, 2027Location: Berlin, Germany
ML FORWARD SUMMIT
ML Forward Summit 2027 is a hybrid machine learning conference connecting AI research with product development and business applications. It brings together founders, business and technology professionals, engineers, data scientists and researchers.
ML Forward Summit 2027 takes place on February 2 and 3, 2027, in Berlin, Germany, with in-person and online participation.
PURPOSE
Examine the choices behind useful machine learning, from problem framing and validation to deployment constraints and the work needed after a model reaches users.
COMMUNITY
For founders, business and technology professionals, ML engineers, applied data scientists and MLOps teams, alongside researchers and students. Bring a question about a model you build, deploy, maintain or use in your organisation.
TAKEAWAYS
Choose evaluation measures that match real decisions. Compare monitoring and retraining against a baseline. Assess compression against accuracy, latency, memory and maintenance needs across 16 research areas.
EXPLORE TOPICS & TRACKSCONTRIBUTION
Discuss measured results, clear comparison methods and lessons from systems that changed or were retired. Explore research, technical talk and industry case-study contributions in the Call for Papers.
READ THE CALL FOR PAPERS