Meet the team and learn about our ML monitoring methodologies and best practices.


Model observability is all you need

Superwise ML observability platform walkthrough – model integration, production behavior analysis, monitoring policy configs, and retraining strategies
May 31, 2022 | 10:00 AM PT

MLOps World

Swing by the Superwise booth and let's talk MLOps and ML monitoring.
June 9th - 10th, 2022 | Toronto
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Automating ML Pipelines with Production-First Data

The Pachyderm and Superwise teams discuss how to build a scalable and automated platform, manage big data, and models retraining
June 1st, 2022 | 12:00 PM EDT

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The uncommon monitoring challenges unique to Fintech

Fintech is one of the fastest industries to adopt ML and achieve high-scale operational AI. This Fintech – ML boom also brings some uncommon monitoring challenges unique to the Fintech industry. In this keynote, I’ll walk you through the challenges of unbalanced use cases, adversarial attacks, and delayed feedback for Fintech companies and share our...
Jun 22nd - 24th, 2022 | Berlin

A guide to putting together a continuous ML stack

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
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ML multi-tenancy observability

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
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