MLOps Community Meetup: MLOps with open source
Please note that you will need to register with the following schema to get access to the building:
https://rsvp.withgoogle.com/events/mlops-community-at-google/forms/registration
We are happy to welcome you to the MLOps Community in Oslo again! 👋 Come join us at Google offices in
We have an awesome lineup this time! With,
Google
Omny
Cheffelo
More information about the presenters, their presentation and their respective companies will be coming soon! Stay tuned!
Each speaker has set 10 minutes for questions, so feel free to engage!
AGENDA:
⏱️ 5.00pm - 5.30pm
🌯 Arrival, food and drinks
⏱️ 5.30pm - 5.40pm
🎤 Introduction
📢 Arturo Opsetmoen Amador @ Opsetmoen Amador Data Consulting AS
📢 Olga Sergeeva @ Tine SA
⏱️ 5.40pm - 6.05pm
🎤 Mats E. Mollestad @ Cheffelo
📢 Get control over your ML products by leveraging model contracts.
Setting up an end-to-end ML system requires many moving parts. Join me and see how model contracts can help your team understand and quality control your ML systems
⏱️ 6.05pm - 6.35pm
🎤 Simon Lia-Jonassen & Stefan Mandaric @ Omny
📢 Building successful and secure products with AI and ML
Developing AI and ML products requires balancing theoretical knowledge with practical considerations like platform architecture, tool selection, and security. This presentation covers a six-step framework for creating successful AI and ML products, an overview of impactful open-source tools, and strategies to protect applications from adversarial attacks. These elements ensure robust and innovative solutions in the AI and ML landscape.
⏱️ 6.35pm - 6.45pm
Pause
⏱️ 6.45pm - 7.15pm
🎤 Abdelfettah SGHIOUAR @ Google
📢 Introduction to Distributed ML workloads with Ray on Kubernetes
The rapidly evolving landscape of Machine Learning and Large Language Models demands efficient scalable ways to run distributed workloads to train, fine-tune and serve models. Ray is an Open Source framework that simplifies distributed machine learning, and Kubernetes streamlines deployment. In this introductory talk, we'll uncover how to combine Ray and Kubernetes for your ML projects.
⏱️ 7.15pm - 7.20pm
Pause
⏱️ 6.20pm - 7.45pm
Discussion panel
Thanks to Google for sponsoring this event!
Please remember to register your assistance in the following form:
https://rsvp.withgoogle.com/events/mlops-community-at-google/forms/registration