What I learned from monitoring 30 Machine Learning Use Cases
Machine Learning Lead Engineer, DKB
Lina has 10+ years of experience developing scalable machine learning models and running them in production. She currently works as a Machine Learning Lead Engineer at the DKB bank. She previously worked at Zalando developing real-time, deep learning personalization models for more than 32M users.
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?