Accelerating AI Value with Modular MLOps

Presented by

Gideon Mendels, CEO and co-founder of Comet

About this talk

As AI gains wider adoption across industries, technical teams are vetting and using a growing number of tools and resources for developing and deploying machine learning models. The nascent MLOps ecosystem is evolving rapidly, and many tools in this ecosystem tend to be disconnected, which can lead to the emergence of information silos and/or brittle workflows that can stifle growth and innovation. In this session, join the teams at Superb AI, AI Infrastructure Alliance, and Comet as we cover: -How a modular approach to the ML tech stack enables teams to choose the best tools for their use case, data, and business -Why modular ML tech stacks provide more seamless integration between tools -How to assess MLOps tools for modularity

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Comet provides a self-hosted and cloud-based MLOps solution that enables data scientists and teams to track, compare, explain and optimize experiments and models. Backed by thousands of users and multiple Fortune 100 companies, Comet provides insights and data to build better, more accurate AI models while improving productivity, collaboration and visibility across teams. Learn more at