The LF AI & Data Foundation is pleased to be a co-host at the upcoming Kubernetes AI Day! The event will be held virtually on May 4, 2021, and registration is only US$20.
Kubernetes is becoming a common substrate for AI that allows for workloads to be run either in the cloud or in its own data center, and to easily scale. This event is great for developers who are interested in deploying AI at scale using Kubernetes.
The agenda is now live! Please note the times below are displayed in Pacific Daylight Time (PDT).
Tuesday, May 4, 2021
|
1:00 PDT |
Opening Remarks |
| 1:05 PDT |
Scaling ML pipelines with KALE — the Kubeflow Automated Pipeline Engine |
| 1:40 PDT |
A K8s Based Reference Architecture for Streaming Inference in the Wild |
| 2:15 PDT |
Embrace DevOps Practices to ML Pipeline Development |
| 2:45 PDT |
Break |
| 3:05 PDT |
Taming the Beast: Managing the day 2 operational complexity of Kubeflow |
| 3:40 PDT |
The SAME Project: A Cloud Native Approach to Reproducible Machine Learning |
| 4:10 PDT |
Break |
| 4:25 PDT |
Stand up for ethical AI! How to detect and mitigate AI bias using Kubeflow |
| 5:00 PDT |
The production daily life: An end to end experience of serverless machine learning, MLOps and models explainability |
| 6:30 PDT |
Closing Remarks |
Visit the event website for more information about the schedule and speakers. Join us by registering to attend Kubernetes AI Day – Register Now!
The LF AI & Data Foundation’s mission is to build and support an open AI community, and drive open source innovation in the AI, ML, and DL domains by enabling collaboration and the creation of new opportunities for all the members of the community.
Want to get involved with the LF AI & Data Foundation? Be sure to subscribe to our mailing lists to join the community and stay connected to the latest updates.
LF AI & Data Resources
- Learn about membership opportunities
- Explore the interactive landscape
- Check out our technical projects
- Join us at upcoming events
- Read the latest announcements on the blog
- Subscribe to the mailing lists
- Follow us on Twitter or LinkedIn
- Access other resources on LF AI & Data’s GitHub or Wiki
