Superwise ML observability platform walkthrough – model integration, production behavior analysis, monitoring policy configs, and retraining strategies
Events
Meet the team and learn about our ML monitoring methodologies and best practices.
Back by popular demand! Let’s take a dive into MLOps CI/CD + CT pipeline automation. In part 1, we’ll focus on how to put together a continuous ML pipeline to train, deploy, monitor, and retrain your models. Part 2 will focus on automations and production-first insights to detect and resolve issues faster.
Apr 19th, 2022 | Virtual
Selecting, building, and maintaining the right ML multi-tenant architecture for your organization while remaining sane. Just like in software engineering, multi-tenancy is a choice, and challenge, of scale. Unlike software engineering ML multi-tenancy results in tenets with completely different model instances, features, hyperparameters, etc., running in production. Basically, the one model you started out with
Apr 6th, 2022 | Tel Aviv
In this workshop, we’ll take a dive into MLOps CI/CD + CT pipeline automation. Part 1, we’ll focus on how to put together a continuous ML pipeline to train, deploy, monitor, and retrain your models. Part 2 will focus on automations and production-first insights to detect and resolve issues faster. This hand-on build will be
Mar 29th, 2022 | Virtual
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