Live Demo: Build a Machine Learning Model Using Open Source on Azure

Are your ML models stuck on a Jupyter Notebook on one of your developer’s laptops? Maybe patching vulnerabilities or meeting compliance requirements is slowing down your production pipeline?

Come to this month's Meetup where Canonical - the company publishing Ubuntu - is hosting an interactive demo of Kubeflow on Azure, showcasing how to build resilient pipelines specifically for the datasets found in oil and gas companies.

Agenda:

• Interactive Demo: Participate in a live demo showing how Kubeflow on Azure can engineer models and pipelines.
• Maintaining the Platform: Learn how to manage vulnerabilities, versioning, and compliance for open-source apps so you can bring models into production.
• Canonical Insights: Discover how Canonical’s offerings provide a stable foundation for your open-source stack throughout the company.

Your speakers for tonight's event are Vikas and Brandon!

Vikas is a field engineer at Canonical based out of Dallas. He has experience with open source technologies such as Python, Kubernetes, and Openstack among others.
Brandon is an enterprise account executive at Canonical with a technical background based outside of Texas.

Come for the tech, stay for the food and networking. Let's engineer together!

Food and soft drinks will be served at ~5pm on the 10th floor - we will kick off the discussion there @5:30pm after everyone has had a chance to eat, meet anyone else you'd like to and have a chat :-). Feel free to start arriving from 4:30pm on if you are nearby. PLEASE RSVP so we have an accurate food count and in order to get you a link to the lab.

PARKING: For free parking please park across the street on the third and fourth floors of the parking garage at 12711 Queensbury; parking in the Microsoft building is not free.

In-person: 750 Town and Country Blvd #1000 · Houston, TX
Recording: https://www.youtube.com/@HoustonAzureUserGroup