--- title: 'Digest #2019.08.05 – Kubeflow 0.6 Release' description: 'Kubeflow v0.6: support for artifact tracking, data versioning & multi-user – version 0.6 includes several enterprise features to support multiple users and better model training pipelines. For multiple users, Kubeflow v0.6 provides a flexible architecture for user isolation and single sign-on. For data, enhancements have been added to Kub […]' url: https://canonical.com/blog/issue-2019-08-05-kubeflow-0-6-release?format=md --- 1. [Blog](https://canonical.com/blog) 2. Article --- [Carmine Rimi](https://canonical.com/blog/author/carmine-rimi "More about Carmine Rimi") 5 August 2019 # Digest #2019.08.05 – Kubeflow 0.6 Release [Kubeflow News](https://canonical.com/blog/tag/kubeflow-news) --- Share the article * [Kubeflow v0.6: support for artifact tracking, data versioning & multi-user](https://medium.com/kubeflow/kubeflow-v0-6-a-robust-foundation-for-artifact-tracking-data-versioning-multi-user-support-9896d329412c) – version 0.6 includes several enterprise features to support multiple users and better model training pipelines. For multiple users, Kubeflow v0.6 provides a flexible architecture for user isolation and single sign-on. For data, enhancements have been added to Kubeflow Pipelines and jupyter. In total, over 250+ merged pull requests! * [Kubeflow Components and Pipelines](https://towardsdatascience.com/kubeflow-components-and-pipelines-33a1aa3cc338) – This is a useful article that demonstrates how to build pipelines, how to create and use components, and how to leverage them inside of notebooks. Specifically, how to run pipelines and experiments inside of a Notebook. The article also includes easy to understand, ready to use examples. * Use Case Spotlight – [The world’s most-advanced AI can’t tell what’s in these photos. Can you?](https://www.fastcompany.com/90379047/the-worlds-most-advanced-ai-cant-tell-whats-in-these-photos-can-you) A useful exploration into the the current limits of AI in visual recognition. Researchers from UC Berkeley, the University of Washington, and the University of Chicago are building the ultimate archive of photos that confuse AI. AI is judged by its answers .. we can get all sorts of unexpected bias from AI. This poses a major problem when AI systems are being used in technology like autonomous cars or fields like criminal justice. [XKCD 2173](https://xkcd.com/2173/) [Get in touch Interested in running Ubuntu in your organization?](https://ubuntu.com/about/contact-us/form) ## Sign up for our newsletter Get the latest Canonical news and updates in your inbox. Work email: \*I agree to receive information about Canonical's products and services. By submitting this form, I confirm that I have read and agree to [Canonical's Privacy Policy](https://canonical.com/legal/dataprivacy). Sign up ## Share on --- ## Related posts [### Kubeflow operations guide](https://canonical.com/blog/kubeflow-operations-guide) Operating MLOps stacks alike Kubeflow in an increasingly multi-cloud world will be a key topic as this market and Kubernetes adoption grow. Kubeflow operations webinar To... [Andreea Munteanu](https://canonical.com/blog/author/munteanuandreea) 17 March 2021 [### Latest community videos](https://canonical.com/blog/latest-kubeflow-videos) MLOps community jewels The MLOps community continues to grow and gift us with great content and discussions around the topic! Here are a couple of interesting discussions – a... [Rui Vasconcelos](https://canonical.com/blog/author/ruivasconcelos) 8 March 2021 [### Still figuring out what is Kubeflow?](https://canonical.com/blog/kubeflow-learn-understand) Kubeflow has become quite popular in the MLOps community as the tool that enables data science teams to automate their workflows from data preprocessing to model deployment on... [Andreea Munteanu](https://canonical.com/blog/author/munteanuandreea) 22 February 2021 [### SageMaker and Kubeflow: end-to-end ML workflows](https://canonical.com/blog/sagemaker-and-kubeflow) In June 2020, AWS introduced SageMaker components for Kubeflow. 6 months later, Antje Barth, Sr. developer advocate @AWS, presents how to build end-to-end ML workflows with... [Rui Vasconcelos](https://canonical.com/blog/author/ruivasconcelos) 11 February 2021