OpenShift Commons Gathering on Data Science Summary

It's A Wrap! The OpenShift Commons Gathering on Data Science took place virtually on January 28th, 2021 with participation from the OpenDataHub.io, MLCommons.org and OpenShift Commons communities. the event included talks by end users from Verizon Media, América Móvil and Ericsson Research on how their organizations are leveraging AI, Machine Learning and OpenShift.

If you were unable to attend, we’ve created a youtube playlist of all the day’s proceedings  for your binge-watching pleasure!

This OpenShift Commons Gathering on Data Science also featured two great keynotes on “Overcoming Dataset Bias in Machine Learning” by Kate Saenko of Boston University and MIT-IBM Watson Lab and “Sustainability, Machine Learning, AR/VR and 5G: AI for Good” by Paul Mclachlan of Ericsson Research.  

This Virtual OpenShift Commons Gathering on Data Science brought together Data Scientists and Kubernetes and Cloud Native experts from all over the world to discuss container technologies, best practices for deploying Data Science workloads on OpenShift and and the many open source software projects that underpin both the Data Science and OpenShift ecosystems. 

All the videos are available now:

Watch the entire playlist here

To stay abreast of all the latest releases and events, please join the OpenShift Commons and join our mailing lists & slack channel.

What is OpenShift Commons?

Commons builds connections and collaboration across OpenShift communities, projects, and stakeholders. In doing so we'll enable the success of customers, users, partners, and contributors as we deepen our knowledge and experiences together.

Our goals go beyond code contributions. Commons is a place for companies using OpenShift to accelerate its success and adoption. To do this we'll act as resources for each other, share best practices and provide a forum for peer-to-peer communication.

Join OpenShift Commons today!