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.