Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore new insights on model behavior with Fiddler in this 54-minute MLOps Community Meetup talk featuring Danny Brock, Solutions Engineer at Fiddler AI. Dive into the world of monitoring, explainability, and model analysis as Danny demonstrates how MLOps Engineers and Data Scientists can instrument ML models for observability using Fiddler's Model Performance Management platform. Learn to register models, publish events, and leverage Fiddler's cloud environment on AWS to gain valuable insights into data drift, integrity, and underperforming cohorts. Discover how Fiddler addresses critical ML challenges, drives positive business outcomes, and provides a comprehensive solution for the ML lifecycle. Follow along with a detailed demo and quick start guide for implementing simple monitoring, creating projects, uploading baseline datasets, and publishing production events. Gain practical knowledge on building trust in AI and integrating Fiddler into your ML workflows.