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
Register today and join us!