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X-WR-CALDESC:Events for Arize AI
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SUMMARY:Voices of ML Leaders
DESCRIPTION: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 taking action. During this event\, you will have the opportunity to connect and interact with your peers. This includes executives and leaders from Fortune 2000 companies that are already tackling these challenges\, and you will discover new perspectives\, best practices and actionable tips that will enable you to take your leadership to the next level.
URL:https://arize.com/community-events/voices-of-ml-leaders-2/
LOCATION:785 Market Street\, San Francisco\, 785 Market Street\, San Francisco\, CA\, United States
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DTSTART;TZID=America/Los_Angeles:20220621T080000
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UID:10000385-1655798400-1655830800@arize.com
SUMMARY:Arize:Observe Unstructured
DESCRIPTION:
URL:https://arize.com/community-events/arizeobserve-unstructured/
LOCATION:Virtual\, United States
ATTACH;FMTTYPE=image/png:https://arize.com/wp-content/uploads/2022/05/Social_1200x627.png
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DTSTART;TZID=America/Los_Angeles:20220621T080000
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UID:10000383-1655798400-1656381388@arize.com
SUMMARY:Build trust in models in production with ML observability and performance tracing
DESCRIPTION: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 Observability platform\, enabling ML teams to surface\, resolve\, and improve model performance issues automatically. \nGain confidence taking your models from research to production with a deep dive into the Arize platform. Attendees will learn how to identify segments where a model is underperforming\, troubleshoot and perform root cause analysis\, and proactively monitor your model for future degradations.
URL:https://arize.com/community-events/build-trust-in-models-in-production-with-ml-observability-and-performance-tracing/
LOCATION:Virtual\, United States
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