ML Monitoring at Scale: the MLOps Perspective
An overview of monitoring best practices, from the viewpoint of the MLOps practioner
Ready to see what it really takes to monitor ML models in production? This in-depth webinar takes you up close and personal.
Join us on this recorded webcast as TruEra’s Chief Scientist, Anupam Datta, and Biswajit Das, the former Chief Architect of the AI Platform at a very large financial services firm, provide a hands-on overview of the fundamentals of ML Monitoring.
During the 60-minute webinar, we will cover:
- What is ML Monitoring/ML Observability?
- Monitoring best practices - going beyond uptime and retraining
- Key elements of an ML Monitoring platform
- Enterprise readiness
- Case study: monitoring and MLOps in real life
- Live, practical run-through of how to identify, diagnose, and debug model issues in production
- Q&A with the presenters
For immediate access to the slides and recording, simply fill out the form and click Submit.
Meet the Speakers
President and Chief Scientist
VP of Engineering
TruEra provides AI Quality solutions that analyze machine learning, drive model quality improvements, and build trust. Powered by enterprise-class Artificial Intelligence (AI) Explainability technology based on six years of research at Carnegie Mellon University, TruEra’s suite of solutions provides much-needed model transparency and analytics that drive high model quality and overall acceptance, address unfair bias, and ensure governance and compliance.