Models are being built and deployed at unprecedented rates. However, the lack of standardization, inability to share and preserve model assets, and absence of governance are making model operationalization slow and risky.

A new component in the ML stack is emerging that can serve as a central hub for enabling standardization, sharing, and governance. Called the Model Catalog, this central hub provides a way to store, organize, and manage model assets; implement responsible AI practices; and integrate with IT tooling to operationalize models. 

In this webinar, we will look at the major trends necessitating the adoption of Model Catalogs in enterprises, what capabilities are provided by this emerging category of tools, and what benefits organizations can reap by investing in a model catalog.

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Instructor's Bio

Manasi Vartak

CEO of Verta

Manasi Vartak is the founder and CEO of Verta, a Palo Alto-based startup building tools for AI & ML model management and operations. Manasi is the creator of ModelDB, the first open-source model management system deployed at Fortune-500 companies. She previously worked on deep learning for content recommendation as part of the feed-ranking team at Twitter and dynamic ad-targeting at Google. Manasi is passionate about building intuitive data tools, helping companies become AI-first, and figuring out how data scientists and the organizations they support can be more effective. Manasi has spoken at several top research and industry conferences such as SIGMOD, VLDB, SparkSummit, TWIML, Data Science Salon, and AnacondaCon, and has authored a course on model management. Manasi earned her MS/PhD in Computer Science from MIT.


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    ON-DEMAND WEBINAR: Why you need a Model Catalog

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