Meet the team and learn about our ML monitoring methodologies and best practices.
Continuous MLOps pipelines: A dive into continuous training automation
In this webinar, we’ll learn how to implement the 1st level of MLOps maturity and perform continuous training of the model by automating the ML pipeline. We'll start with the ML pipeline and see how we can detect performance degradation and data drift in order to trigger the pipeline and create a new model based on fresh data.
August 16th, 2022 | 1:00 PM ET
A guide to multi-tenancy architectures in ML
This session will cover architectural considerations for multi-tenancy in ML, best practices in traditional software engineering that can be copy/pasted over to MLOps, as well as new considerations unique to ML
June 28th, 2022 | 10 AM ET
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
Want to know about upcoming webinars, meetups, and talks?
Let me know about new events
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
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
ML monitoring: Best practices & lessons learnt at monday.com
What happens when the #1 productivity solution needs to scale its use of AI? Check out the highlights of the webinar led by monday.com to learn the best practices of their marketing and data science teams!
April 28th, 2021 | Virtual
Stories from the field with the MLOps Roundup
This webinar will feature insights from the editors of the Machine Learning Ops Roundup, and a few “stories from the field” on how to monitor your models in production. Join us in this interactive session where we will take all questions related to the best practices gathered in Superwise’s e-book “Fundamentals for monitoring ML” and...