First MLOps.community Berlin Meetup

Hello community,

On June 30th we will have the first MLOps.community meetup in Berlin! It will consist of one main talk, a couple of lighting talks and time to socialize (food and drinks included) :). The event will take place in the GetYourGuide’s office in Sonnenburger Str. 73, 10437 Berlin - where we have a capacity limit of 80 people so please confirm your seat in advance.

As our main speaker, its a pleasure to receive Stephen Batifol from Wolt who will be talking about Scaling Open-Source Machine Learning. From Android developer to Data Scientist to Machine Learning Engineer, Stephen has a wealth of software engineering experience at Wolt. He believes that machine learning has a lot to learn from software engineering best practices and spends his time making ML deployments simple for other engineers.

And Stephen's talk:
Forecasting supply and demand, serving restaurant recommendations and predicting delivery times. These are just a few examples of how Machine Learning is being applied at Wolt. Now with over 12 million users, scaling the ML infrastructure has been a significant challenge. This talk will highlight those challenges and how they were addressed by building an end to end MLOps platform on Kubernetes. You'll learn about the open source frameworks that Wolt integrated, specifically Flyte, MLFlow and Seldon Core.

The complete agenda is the following:

6:00 pm - Open the doors & Pizza
7:00 pm - Stephen's talk
7:35 pm - Q&A
7:45 pm - Break
7:50 pm - Lightning talks (5 min each)
20:15 pm - Socialize

If you are interested in giving a lightning talk, fill up the signup form on Meetup.com while confirming your attendance.
Lightning talk inspiration (tanks to MLOps.community Amsterdam):

• What are you working on?
• What do you (not) like about a particular MLOps tool?
• Why do you think XYZ is over/underrated?
• What are your take-aways from a book or paper you read?
• What concept or idea are you excited about?
• Did you discover any neat software packages recently?
• Do you have any great MLOps productivity tips?
• MLOops! -- Do you have any personal stories on ML gone wrong?

This meetup is in collaboration with neptune.ai