Systems | Development | Analytics | API | Testing

As the MLOps practice matures, there is an accumulation of stories about what works well – and what doesn’t. If you’re building up your enterprise MLOps muscle, instead of trial and error, why not tap into the collective memory of thousands of organizations who have spent the last couple of years building their MLOps practices internally and learn from their experience?

In this session of the MLOps Live Webinar series, we discuss building services with ML baked-in, that continuously deliver bottom-line business value, by embracing AutoMLOps. AutoMLOps means automating engineering tasks so that your code is automatically ready for production. In this session, we outline the challenges, describe open-source tools available for Auto-MLOps, and finish off with a live demo.

Because conventional privileging and permissioning solutions were designed to run within on-premises data centers, they require dedicated IT security expertise to deploy and manage. Configuring them for multi-cloud environments is simply not workable. In this episode of “Powered by Snowflake,” Daniel Myers chats with Britive’s Field CTO John Morton, who explains how Britive has taken advantage of Snowflake’s compute and data-sharing capabilities to develop a solution that gives cloud-native, cloud-focused companies a new kind of cloud access management tool–one that easily scales as businesses grow and DevOps pipelines expand.

This video covers clearml-data tool, which is meant to help you version control, share and manage your different datasets. It integrates seamlessly in the existing clearml ecosystem, so a lot of terms will feel familiar!

New in ThoughtSpot Analytics Cloud 8.5.0.cl - a brand new data workspace, integration with dbt on Snowflake, a new in-product SpotApps library, and more.

The recording of our talk at the MLOps World summit. This talk covers a complete example, starting from experiment management and data versioning, building up into a pipeline and finally deploying using ClearML serving with drift monitoring. We then induce artifical drift to trigger the monitoring alerts and go back down the chain to quickly retrain a model and deploy it using canary deployment.

Figma connects everyone in the design process so teams can deliver better products, faster. Organizations around the world entrust Figma to securely host their ideas, designs, and plans.

Learn the benefits of Tricentis Tosca Data Integrity in this brief explanation.

Most data science teams start with building AI models and only think about operationalization later. But taking a production-first approach and automating components is the key to generating measurable ROI for the business. In this talk, Iguazio’s co-founder and CTO, Yaron Haviv, explains how to simplify and automate your production pipeline to bring data science to production faster and more efficiently. He displays real live use cases while going through all the different steps in the process.