Scaling Enterprise Machine Learning using Model Serving Platforms
Language
English
Level
Intermediate
Length
30 minutes
Type
online conference
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About
CI/CD • October 2020
Scaling Enterprise Machine Learning using Model Serving Platforms
The field of machine learning is maturing rapidly. A few years ago, people were still learning to develop predictive models with their data. Many enterprises have now mastered the art of predictive modelling, and know how to wrap these models in a runtime that exposes the model to clients. The time has come to scale these capabilities. In this talk, I will present the problems many companies are facing when scaling machine learning capabilities internally. I will then talk about the model serving platform, and how it can alleviate these problems.
About speaker
Axel Goblet
Machine Learning EngineerBigData Republic
Axel is a machine learning engineer at BigData Republic. With a background in data science, Axel has built production-grade machine learning products in various use cases. He is currently interested in streamlining the data science way of working within large organizations. Axel is also part of the programme commitee of TEQnation, a developer conference organized yearly in Utrecht.
Details
Language
English
Level
Intermediate
Length
30 minutes
Type
online conference
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