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Drift Happens, featuring Justin Chen of Google

Join us Thursday, May 5th, 4pm ET/ 1pm PT for Drift Happens, Arize’s weekly video chat where our host Amber Roberts will discuss ML use cases, best practices in model development and model deployment, as well as troubleshooting models in production with industry’s top MLEs and Data Scientists. This week we are joined by Justin...

Drift Happens, featuring Yunshi Zhao of Liftoff

https://arize.zoom.us/j/82831610497

Join us Thursday, May 12th, 4pm ET/ 1pm PT for Drift Happens, Arize’s weekly video chat where our host Amber Roberts will discuss ML use cases, best practices in model development and model deployment, as well as troubleshooting models in production with industry’s top MLEs and Data Scientists. Ceci is a Machine Learning Engineer at...

apply(conf)

Virtual , United States

Drift Happens featuring Mike Stefferson of Cerebral

https://arize.zoom.us/j/82831610497

Join us Thursday, May 19th, 4pm ET/ 1pm PT for Drift Happens, Arize’s weekly video chat where our host Amber Roberts will discuss ML use cases, best practices in model development and model deployment, as well as troubleshooting models in production with industry’s top MLEs and Data Scientists. This week we will be joined by...

Drift Happens featuring Chris Murphy of Homepoint

https://arize.zoom.us/j/82831610497

Join us Thursday, May26th, 4pm ET/ 1pm PT for Drift Happens, Arize’s weekly video chat where our host Amber Roberts will discuss ML use cases, best practices in model development and model deployment, as well as troubleshooting models in production with industry’s top MLEs and Data Scientists. This week on Drift Happens we are joined...

Drift Happens featuring Sid Roy of Devron

https://arize.zoom.us/j/82831610497

Join us Thursday, June 2nd, 4pm ET/ 1pm PT for Drift Happens, Arize’s weekly video chat where our host Amber Roberts will discuss ML use cases, best practices in model development and model deployment, as well as troubleshooting models in production with industry’s top MLEs and Data Scientists. Sid Roy is currently working as a...

MLOps World

Toronto, Canada Toronto, Canada

Build trust in models in production with ML observability and performance tracing

Virtual , United States

Taking a model from research to production is hard — and keeping it there is even harder! As more machine learning models are deployed into production, it is imperative to have tools to monitor, troubleshoot, and explain model decisions. Join Amber Roberts, Machine Learning Engineer at Arize AI, in an overview of Arize AI’s ML...