Infra for MLOps

November 30 we will turn our attention to the infrastructure required to run MLOps and we will hear from Hopsworks, Klarna, Nvidia and King.

The program will focus on best practices to implement / maintain ML systems in large scale organizations and cover topics such as:

• Managing Data Pipelines in AI best practices
• Keeping models in production
• MLOps principles for ML Systems

The format will be the similar to previous meetups with three speakers and a moderated Q&A session.

Event Program

- Doors open at 17:00 CET

- Talks begin at 17:45 CET

- Pizzas from our favorite pizzeria Deglabbet arrive 19:00 CET

- Once again, we'll get the chance to enjoy the custom beers provided courtesy Hopsworks! (And of course there will also be non-alcoholic options for those so inclined.)

This evening, we will hear from:

• Fabio Buso, VP of Engineering at Hopsworks
• Francesco Ferranti, Machine Learning Engineer at Klarna
• Martin Westblom, OEM Enterprise Manager at Nvidia

The Q&A session will be moderated by Theodor Panagiotakopoulos, ML/AI Engineer at King.

Once again we will have the privilege of meeting up at Combient's offices at Mäster Samuelsgatan 56 (Floor 3) in central Stockholm.

Stay tuned for further updates!

All the best,

Patrick Couch