The Motivation for MLOps - Architectural Perspective
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore the motivation behind MLOps in this 57-minute talk by Steven Fines, Sr. Principal ML Architect at CoreLogic, hosted by Ben Epstein at MLOps Community Meetup #118. Delve into key areas driving MLOps adoption in enterprise ML solution development and operations. Learn about compliance challenges, model management, operational concerns, and the architectural viewpoint of MLOps. Discover the relationship between MLOps and DevOps, prerequisites for implementation, foundational components, and scaling processes. Gain insights on standardization, moving model execution to pipelines, result monitoring, and when to create data catalogs or feature stores. Understand classic obstacles in ML that differ from traditional software development, and benefit from Fines' 26 years of software engineering experience, with 15 years focused on ML and analytics pipelines.