It’s A Wrap! OpenShift Commons Gathering on AI and Machine Learning took place on Oct 28th in San Francisco co-located with ODCS/West
The OpenShift Commons Gathering on AI & ML at ODCS/West featured production AI/ML Workload Case study talks from Discover.com and ExxonMobil, deep dives into Red Hat’s OpenDataHub.io initiative and much more!
The OpenShift Commons Gathering on Artificial Intelligence and Machine Learning in San Francisco at ODSC/West brought together data scientists and Kubernetes experts from all over the world to discuss the container technologies, operators, the operator framework, best practices for cloud-native application developers and the open source software projects that underpin the OpenShift ecosystem to help take us all to the next level in delivering cloud-native computing resources for AI & ML workloads. This gathering featured data scientists, developers, project leads, cloud architects, operator builders, sysadmins, and cloud-native practitioners coming together to explore the next steps in making container technologies successful and secure at scale.
Here are the slides and videos from the proceedings:
|Welcome & Cross-Community Collaboration in Action||Diane Mueller (Red Hat)||Slides||Video|
|Keynote: Baking AI Ethics into Your AI Infrastructure Today||Daniel Jeffries (Pachyderm)||Slides||Video|
|Open Data Hub: Machine-Learning-As-A-Service Platform Deep Dive||Sherard Griffin (Red Hat)||Slides||Video|
|Delivering On-Demand Analytics Environments for Data Scientists at Discover||Brandon Harris and Anirudh Pathe (Discover Financial Services)||Slides||Video|
|Deep Learning Workloads with NVIDIA GPUs on OpenShift||Mehnaz Mahbub (Super Micro) | Mayur Shetty (Red Hat)||Slides||Video|
|ML/AI and Operators Case Study: Databricks, Azure and Kubernetes||Azadeh Khojandi and Jordan Night (Microsoft)||Slides||Video|
|Panel: Building Kubernetes Operators for AI & ML Workloads – moderator: Sherard Griffin (Red Hat)||Azadeh Khojandi (Microsoft), Pramod Ramarao (NVIDIA), Kamil Bajda-Pawlikowski (Starburst Data), Sunny Siu (ProphetStor),Ryan Dawson (Seldon), Gopal Krishnan (CognitiveScale)||N/A||Video|
|Lightning Talk: Diamanti HCI for OpenShift||Hiral Patel (Diamanti)||Slides||Video|
|Lightning Talk: Hybrid/Multi Cluster Storage||Erin Boyd (Red Hat)||Slides||Video|
|Lightning Talk: Exascale Schoal Architechture in Ceph||Kyle Bader (Red Hat)||Slides||Video|
|OpenShift and Machine Learning at ExxonMobil||Cory Latschkowski (ExxonMobil)||Slides||Video|
|Big Fast SQL with Presto on OpenShift||Kyle Bader (Red Hat), Kamil Bajda-Pawlikowski (Starburst Data)||Slides||Video|
|AIOps on OpenShift||Sunny Siu (ProphetStor) , Tushar Katarki (Red Hat)||Slides||Video|
|Panel: The Future and Ethics of AI – moderator Erin Boyd (Red Hat)||Alex Housely (Seldon) m Daniel Riek (Red Hat), Frederick Kautz (Doc.ai)||N/A||Video|
|AMA Panel – Red Hat Project Leads, PMs, Data Scientists & Engineers – moderated by Julio Tapia (Red Hat)||Multiple Panelists – Live Q/A with Audience||N/A||Video|
|Road Ahead for AI/ML on OpenShift||Diane Mueller (Red Hat)||Slides||Video|
To stay abreast of all the latest releases and events, please join the OpenShift Commons and join our mailing lists & slack channel.
This OpenShift Commons Gathering took place concurrently with ODSC/West, 2019 in San Francisco. It featured some of the brightest technical minds in cloud technology discussing the future of OpenShift and its related upstream open source projects. With OpenShift Container Platform quickly gaining adoption around the world, the OpenShift Commons Gathering offered talks from upstream project leads, and case studies from users across multiple industries and use cases. This event also included face-to-face meetings for all the OpenShift Commons Special Interest Groups and allowed ample time for peer-to-peer networking.
Want to learn more about AI and Machine Learning on OpenShift?
OpenShift Commons Machine Learning SIG monthly meetings are public and open to all. Our next meeting will be on November 1, 2019 meeting details and agenda here!
To join the OpenShift Commons ML SIG and get on the mailing list for future events, briefings and SIG meetings, sign up here: https://commons.openshift.org/sig/OpenshiftMachineLearning.html
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.