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Voices of ML Leaders

785 Market Street, San Francisco 785 Market Street, San Francisco, CA

When it comes to aligning the data science team with the business, recruiting and retaining talents, and applying the most beneficial AI methodologies, AI leaders set up initiatives and are...

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...

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...

apply(conf)

Virtual San Francisco

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...

Recurring

ML Observability Workshop Series

Virtual San Francisco

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’s imperative to have the right skillset to monitor, troubleshoot, and explain model performance. That’s why Arize is hosting an ML Observability Workshop Series to help data scientists and ML practitioners gain confidence taking their models from research to production.

Each week, we will cover a key area of ML Observability and practical applications. You will gain a hands-on understanding of how to identify where a model is underperforming, troubleshoot model and data issues, and how to proactively mitigate future degradations.

Upon completion of this series, you will receive a ML Observability Fundamentals acknowledgement for your new skills!

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...

Recurring

ML Observability Workshop Series

Virtual San Francisco

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’s imperative to have the right skillset to monitor, troubleshoot, and explain model performance. That’s why Arize is hosting an ML Observability Workshop Series to help data scientists and ML practitioners gain confidence taking their models from research to production.

Each week, we will cover a key area of ML Observability and practical applications. You will gain a hands-on understanding of how to identify where a model is underperforming, troubleshoot model and data issues, and how to proactively mitigate future degradations.

Upon completion of this series, you will receive a ML Observability Fundamentals acknowledgement for your new skills!

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...