We will share with you one approach to monitor infrastructures using machine learning, which involved building a full stack of scalable automated machine learning upon Openstack.

In most offices, DevOps and data scientists are on separate teams. OVH has merged the teams so that data scientists can access DevOps improvements like building a machine learning platform and DevOps can access data scientists’ knowledge for the data processing methods and embedded models. OVH monitors machine learning model performance and chooses the best one.

During this talk, we will discuss about some use cases solved by the machine learning platform, like temperature anomaly detection and forecasting power consumption of datacenters. We will explain how OVH is laying the next steps of a streamed fully automated machine learning platform that will allow data scientists to work on Stage-Gate innovation processes and efficiently go to production.

The videos from the Summit keynotes are now available!

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