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WORKSHOP 2

MACHINE LEARNING MODELS IN PRODUCTION: DIFFERENT APPROACHES AND THE ROLE OF ML LIFECYCLE MANAGEMENT TOOLS

Rohit Kumar Eurecat Big Data AI
17 Oct 2019
18:00H
Sala 2

WORKSHOP 2

MACHINE LEARNING MODELS IN PRODUCTION: DIFFERENT APPROACHES AND THE ROLE OF ML LIFECYCLE MANAGEMENT TOOLS

There are different approaches to deploy and manage Machine learning models in production. Depending on the use case one approach could be better than another. In this talk we will look into these different approaches and how to choose one over another. For an enterprise system just deploying the models in production is not sufficient, and just like any other application ML based projects also have a life cycle which needs to be managed. We will look into what different ML lifecycle management tools are out there and why it is important that we use a ML lifecycle management tool in our enterprise.

Rohit Kumar
Researcher, Data Science and Big Data Analytics Unit
Eurecat
eurecat.org

*NOTICE: This workshop is addressed to a technical profile
This workshop will be done in English. The organization will not offer simultaneous translation service.
Limited places: 70. Places will be assigned in order of registration