Open Source MLOps
A monthly meetup for everyone with an interest in MLOps, or AI and Machine Learning in general. From data scientists interested in the more technical aspects, through to CEOs looking to unleash the power of their AI.
We aim to cover a range of topics which will help us to collectively grow and improve the world of open source MLOps.
MLOps is a relatively new discipline in machine learning. It’s the fastest and most consistent way to deploy your AI models into production.
This group focuses on all things relating to open source MLOps. We believe that open source MLOps provide you with the freedom and flexibility to deploy your AI models into production in an optimal way.
As a relatively new discipline, the aim of this group is to form a community for us all to learn, share and grow our collective understanding. Amongst other things, we’ll be looking to share tips, tools and case studies, and facilitate debate and discussion.
Who should attend?
Open Source MLOps events are for anyone interested in improving Scrum use and adoption at their organization.
We hope to see everyone from Software Engineers and Data Scientists interested in the more technical aspects, through to CEOs looking to unleash the power of their AI.
The Open Source MLOps community is organised by Fuzzy Labs.
Fuzzy Labs are experts in open source MLOps. Our flexible, collaborative approach helps clients unlock value from their AI at scale.
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From Model to Microservice - ML Deployments at Scale
Featuring Ed Shee
Ed Shee, Head of Developer Relations @ Seldon will be walking us through a technical demo of how to use Seldon Core to deploy your models at scale, from the initial model to microservice.data-machine-learning deployment microservices ml-models
ML Pipelines from the Get Go (Without Tears)
Featuring Dickson Neoh
ZenML is an open-source MLOps framework built for ML teams. It provides the right abstraction layer to bring Machine Learning Models from research to production as easily as possible.
This talk is a technical dive into ZenML and why you need it in your life from Dickson Neoh, Developer Advocate... data-machine-learning osmlops open-source machine-learning zenml mlops
An introduction to Using Metaflow in Research & Production
Featuring Jacopo Tagliabue
Jacopo is the Director of AI at Coveo and well known speaker on the ML circuit, he'll be talking about his experience of adopting Metaflow in both a research environment and production environment.data-machine-learning mlops metaflow
Monitoring Machine Learning Models with Evidently
Featuring Emeli Dral
Evidently is a first-of-its-kind monitoring tool that makes debugging machine learning models simple and interactive. This session will be led by Emeli Dral, CTO & Co-Founder of Evidently, who will offer us a technical insight into how Evidently works under the hood.data-machine-learning monitoring machine-learning-models debugging
Best Practices Around Model Monitoring at Bumble
Featuring Gleb Vazhenin
A technical deep dive into how Bumble approach model monitoring using open source tooling with Machine Learning Engineer Gleb Vazhenin.data-machine-learning model-monitoring
What is MLOps
Featuring Matt Squire
In this session, Fuzzy Labs CTO & Co Founder Matt Squire briefly answers the question What is MLOps?data-machine-learning mlops
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