MLOps 2.0 – From Research Centric to Production First


MLOps needs no introduction.
MLOps 2.0 is the much awaited next phase to make ML really happen.
In a nutshell it's a comprehensive approach to the ML pipeline that makes sure each stage of the model pipeline is ready for and in production.

If your models are doing great in experimentation but you are still trying to put all the production pieces together, This session might help you understand what's going wrong and how to fix it.

By working according to this methodology data scientists can iterate rapidly which is at the core of a successful ML project.

Session Outline:

Join Yuval Fernbach, Co-founder and CTO at Qwak to learn how to:

Build a feature pipeline that can run in production
Maintain a centralized production focused model registry
Monitor, track and react in your production ML environment


Yuval Fernbach is the Co-founder & CTO of Qwak, where he is focused on building next-generation ML Infrastructure for ML teams of various sizes. Before Qwak, Yuval was an ML Specialist at AWS , where he helped AWS Customers across EMEA with their ML challenges. Previous to that, he was the CTO of the IT department of the IDF ("Mamram").

Open Data Science




Open Data Science
One Broadway
Cambridge, MA 02142

Privacy Settings
We use cookies to enhance your experience while using our website. If you are using our Services via a browser you can restrict, block or remove cookies through your web browser settings. We also use content and scripts from third parties that may use tracking technologies. You can selectively provide your consent below to allow such third party embeds. For complete information about the cookies we use, data we collect and how we process them, please check our Privacy Policy
Consent to display content from - Youtube
Consent to display content from - Vimeo
Google Maps
Consent to display content from - Google