What's New in v0.11.0: Label All The Things!
July 19, 2022 - Alex Strick van Linschoten - 6 mins read
This release brings the first iteration of the ZenML annotation stack component and an integration with Label Studio, the popular open-source tool that supports many annotation types. We've also made significant updates to our documentation.
ZenML sets up Great Expectations for continuous data validation in your ML pipelines
July 07, 2022 - Stefan Nica - 18 mins read
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
July 07, 2022 - Alex Strick van Linschoten - 1 min read
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.
Podcast: Edge Computer Vision with Karthik Kannan
June 30, 2022 - Alex Strick van Linschoten - 1 min read
I spoke with Karthik Kannan, cofounder and CTO of Envision, a company that builds on top of the Google Glass and using Augmented Reality features of phones to allow visually impaired people to better sense the environment or objects around them.
What's New in v0.10.0: A Kubernetes Native Orchestrator!
June 28, 2022 - Jayesh Sharma - 3 mins read
This release brings the highly-requested Kubernetes Orchestrator and a Vault secret manager to ZenML! We have also added Data Validators as a new stack component and an implementation for Great Expectations to kick things off.
Podcast: Humans in the Loop with Iva Gumnishka
June 23, 2022 - Alex Strick van Linschoten - 1 min read
This week I spoke with Iva Gumnishka, the founder of Humans in the Loop. They are an organization that provides data annotation and collection services. Their teams are primarily made up of those who have been affected by conflict and now are asylum seekers or refugees.
Move over Kubeflow, there's a new sheriff in town: Github Actions 🤠
June 20, 2022 - Michael Schuster - 15 mins read
This tutorial presents an easy and quick way to use GitHub Actions to run ML pipelines in the cloud. We showcase this functionality using Microsoft's Azure Cloud but you can use any cloud provider you like.
