OpenShift Commons Gathering

January 28, 2021 | Data Science Edition (Virtual)

OpenShift Commons Gathering
Data Science Edition (Virtual)

Where users, partners, customers, contributors and upstream project leads come together to collaborate and work together across the OpenShift Cloud Native ecosystem.

Register Now!


This event is now over!

Event Overview


This OpenShift Commons Gathering will held on January 28, 2021 and focus on Data Science covering AI/ML topics ranging from AIOps, OpenDataHub to Machine Learning Best Practices on OpenShift.

The OpenShift Commons Gatherings bring together experts from all over the world to discuss container technologies, best practices for cloud native application developers and the open source software projects that underpin the OpenShift ecosystem. This event will gather developers, data scientists, devops professionals and sysadmins together to explore the next steps in making container technologies successful and secure for your Data Science workloads.


Register Now!

Where

Data Science Edition (Virtual)
Virtual

When

Thursday January 28

Price

Pre-registration required: Free and Open to All

Please note: Pre-registration is required. This forum will feature a discussion of best practices, lessons learned, and the open source projects that support OpenShift and Kubernetes--all from project leads with production enterprise deployments.

Schedule (Pacific Standard Time)


Code of Conduct: We follow the Code of Conduct of other events such as KubeCon. Similarly we are dedicated to providing a harassment-free experience for participants at all of our events, whether they are held in person or virtually. All event participants, whether they are attending an in-person event or a virtual event, are expected to behave in accordance with professional standards, with both this Code of Conduct as well as their respective employer’s policies governing appropriate workplace behavior and applicable laws.


See session video recordings from previous gatherings »


9:00 am
Welcome to the Commons

Diane Mueller (Red Hat)  |  Audrey Reznik (Red Hat)  |  Sherard Griffin (Red Hat)

9:10 am
Overcoming Dataset Bias in Machine Learning

Kate Saenko (Boston University/MIT-IBM Watson AI Lab)

9:35 am
Keynote: Sustainability, Machine Learning, AR/VR and 5G: AI for Good

Paul Mclachlan (Ericsson Research)

10:00 am
The Enterprise Neurosystem Initiative at America Movil

Karlo Piceno (América Móvil)  |  Raul Reyes (América Móvil)  |  William Wright (Red Hat)

10:30 am
MLCommons: Accelerating Machine Learning with Benchmarks, Datasets and beyond

Diane Feddema (Red Hat)  |  Peter Mattson (Google)  |  David Kanter (MLCommons)

11:00 am
OpenDataHub: The Open Source Toolbox for Data Scientists

Audrey Reznik (Red Hat)

11:30 am
Building an Edge Intelligence Application at Verizon Media

Dennis O'Connell (Verizon Media)  |  Ganesh Harinath (Verizon Media)

12:00 pm
NVIDIA GPU Operator: Simplifying GPU Management in Kubernetes

Kevin Jones (NVIDIA)

12:25 pm
Beyond AIOps: How to Open Source Operations

Marcel Hild (Red Hat)

12:50 pm
Data Scientists and Red Hat - Better Together

Sherard Griffin (Red Hat)

9:10 am
How to Build Data Science Pipelines with OpenShift using Ceph, Kafka and Knative

Guillaume Moutier (Red Hat)



Register Now!

Speakers


Audrey Reznik

Audrey Reznik

Data Scientist
Red Hat

David Kanter

David Kanter

Executive Director at MLCommons
MLCommons

Dennis O'Connell

Dennis O'Connell

Director Of Infrastructure Development
Verizon Media

Diane Mueller

Diane Mueller

Director, Community Development, Cloud Platform
Red Hat

Diane Feddema

Diane Feddema

Principal Software Engineer,AI and Machine Learning CoE
Red Hat

Ganesh Harinath

Ganesh Harinath

VP of Engineering, 5G MEC, AI Platform & Next-Gen Applications
Verizon Media

Guillaume Moutier

Guillaume Moutier

Senior Principal Technical Evangelist
Red Hat

Karlo Piceno

Karlo Piceno

Subdirector de Planeación de Core
América Móvil

Kate Saenko

Kate Saenko

Associate Professor of Computer Science
Boston University/MIT-IBM Watson AI Lab

Kevin Jones

Kevin Jones

Principal Product Manager
NVIDIA

Marcel Hild

Marcel Hild

Manager, Software Engineering, AI CoE, Office of the CTO
Red Hat

Paul Mclachlan

Paul Mclachlan

Artificial Intelligence Research Lead
Ericsson Research

Peter Mattson

Peter Mattson

General Chair at MLPerf, a Staff Engineer at Google, and President of MLCommons
Google

Raul Reyes

Raul Reyes

Head of Private Cloud & IT Infrastructure
América Móvil

Sherard Griffin

Sherard Griffin

Senior Manager, Software Engineering
Red Hat

William Wright

William Wright

Head of AI/ML and Intelligent Edge for Global Verticals
Red Hat

Venue

January 28, 2021 | 9:00 am - 2:00 pm
Virtual
Data Science Edition (Virtual)