Keep the lint out of your ML pipelines! Use Deepchecks to build and maintain better models with ZenML! (06 Sep 2022)
Test automation is tedious enough with traditional software engineering, but machine learning complexities can make it even less appealing. Using Deepchecks with ZenML pipelines can get you started as quickly as it takes you to read this article.
ZenML sets up Great Expectations for continuous data validation in your ML pipelines (07 Jul 2022)
ZenML combines forces with Great Expectations to add data validation to the list of continuous processes automated with MLOps. Discover why data validation is an important part of MLOps and try the new integration with a hands-on tutorial.
Podcast: ML Monitoring with Emeli Dral (07 Jul 2022)
This week I spoke with Emeli Dral, co-founder and CTO of Evidently, an open-source tool tackling the problem of monitoring of models and data for machine learning. We discussed the challenges around building a tool that is both straightforward to use while also customizable and powerful.
10 Reasons ZenML ❤️ Evidently AI's Monitoring Tool (21 Jan 2022)
ZenML recently added an integration with Evidently, an open-source tool that allows you to monitor your data for drift (among other things). This post showcases the integration alongside some of the other parts of Evidently that we like.
Podcast: Monitoring Your Way to ML Production Nirvana with Danny Leybzon (16 Dec 2021)
We discuss how to monitor models in production, and how it helps you in the long-run.