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Traditional software monitoring best practices are not enough to detect problems with machine learning stacks. How can you detect issues and be alerted in real-time? This talk will give you a practical guide on how to do machine learning monitoring: which metrics should you implement and in which order? Can you use your team's existing monitoring and dashboard tools, or do you need an MLOps Platform?

Lina Weichbrodt

Affiliation: DKB AG

Lina has 10+ years of industry experience in developing scalable machine learning models and bringing them into production. She currently works as the Machine Learning Lead Engineer in the data science group of the German online bank DKB. She previously worked at Zalando, one of Europe’s biggest online fashion retailers, where she developed real-time, deep learning personalization models for more than 32M users.

visit the speaker at: Github