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X-WR-CALDESC:Events for Arize AI
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DTSTAMP:20260405T140951
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LAST-MODIFIED:20220628T020706Z
UID:10000390-1649923200-1649955600@arize.com
SUMMARY:Drift Happens
DESCRIPTION:Join us Thursday April 14th\, 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. \n  \nThis week we are joined by Elizabeth Hutton\, Machine Learning Engineer at Cisco. Elizabeth has a background in computational math\, cognitive science and NLP and is currently responsible for ML experimentation\, model development\, evaluation\, and serving at Cisco. As the lead MLE on the Webex Contact Center AI Team\, she is creating the first in-house AI solutions from R&D to production.
URL:https://arize.com/community-events/drift-happens/
LOCATION:Virtual\, United States
ATTACH;FMTTYPE=image/jpeg:https://arize.com/wp-content/uploads/2022/04/Promo-Social-1500x958-1.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220323T080000
DTEND;TZID=America/Los_Angeles:20220324T170000
DTSTAMP:20260405T140951
CREATED:20220628T014249Z
LAST-MODIFIED:20220628T014324Z
UID:10000379-1648022400-1648141200@arize.com
SUMMARY:Data Council
DESCRIPTION:
URL:https://arize.com/community-events/data-council/
LOCATION:Austin\, Texas\, Austin\, TX\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220223T080000
DTEND;TZID=America/Los_Angeles:20220223T170000
DTSTAMP:20260405T140951
CREATED:20220628T021006Z
LAST-MODIFIED:20220628T021006Z
UID:10000394-1645603200-1645635600@arize.com
SUMMARY:Platform Demo with Gabe
DESCRIPTION:
URL:https://arize.com/community-events/platform-demo-with-gabe/
LOCATION:Virtual\, United States
ATTACH;FMTTYPE=image/png:https://arize.com/wp-content/uploads/2022/01/Blog-500x343-Gabe.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220210T080000
DTEND;TZID=America/Los_Angeles:20220212T170000
DTSTAMP:20260405T140951
CREATED:20220628T021633Z
LAST-MODIFIED:20220628T021633Z
UID:10000400-1644480000-1644685200@arize.com
SUMMARY:World AI Conference - Cannes
DESCRIPTION:
URL:https://arize.com/community-events/world-ai-conference-cannes/
LOCATION:Cannes\, France & Virtual
ATTACH;FMTTYPE=image/png:https://arize.com/wp-content/uploads/2021/12/600x250px.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220122T080000
DTEND;TZID=America/Los_Angeles:20220122T170000
DTSTAMP:20260405T140951
CREATED:20220628T021211Z
LAST-MODIFIED:20220628T021211Z
UID:10000397-1642838400-1642870800@arize.com
SUMMARY:See It In Action: Arize Platform Demo\, Live Q&A
DESCRIPTION:
URL:https://arize.com/community-events/see-it-in-action-arize-platform-demo-live-qa/
LOCATION:Virtual\, United States
ATTACH;FMTTYPE=image/jpeg:https://arize.com/wp-content/uploads/2021/12/Blog-Amber-500x343-1.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20211208T080000
DTEND;TZID=America/Los_Angeles:20211208T170000
DTSTAMP:20260405T140951
CREATED:20220628T021944Z
LAST-MODIFIED:20220628T021944Z
UID:10000403-1638950400-1638982800@arize.com
SUMMARY:Best Practices for ML Observability in Lending & Insurance
DESCRIPTION:
URL:https://arize.com/community-events/best-practices-for-ml-observability-in-lending-insurance/
LOCATION:Virtual\, United States
ATTACH;FMTTYPE=image/jpeg:https://arize.com/wp-content/uploads/2021/11/Lending_webinar.Blog_.500x343.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20211118T080000
DTEND;TZID=America/Los_Angeles:20211118T170000
DTSTAMP:20260405T140951
CREATED:20220628T021712Z
LAST-MODIFIED:20220628T021712Z
UID:10000401-1637222400-1637254800@arize.com
SUMMARY:Best Practices in ML Observability for Monitoring\, Mitigating and Preventing Fraud
DESCRIPTION:
URL:https://arize.com/community-events/best-practices-in-ml-observability-for-monitoring-mitigating-and-preventing-fraud/
LOCATION:Virtual\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20211116T080000
DTEND;TZID=America/Los_Angeles:20211118T170000
DTSTAMP:20260405T140951
CREATED:20220628T021530Z
LAST-MODIFIED:20220628T021530Z
UID:10000399-1637049600-1637254800@arize.com
SUMMARY:ODSC West
DESCRIPTION:
URL:https://arize.com/community-events/odsc-west/
LOCATION:San Francisco\, CA\, San Francisco\, CA\, United States
ATTACH;FMTTYPE=image/jpeg:https://arize.com/wp-content/uploads/2021/12/img-featured@2x.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20211115T080000
DTEND;TZID=America/Los_Angeles:20211116T170000
DTSTAMP:20260405T140951
CREATED:20220628T021108Z
LAST-MODIFIED:20220628T021108Z
UID:10000395-1636963200-1637082000@arize.com
SUMMARY:TMLS
DESCRIPTION:
URL:https://arize.com/community-events/tmls/
LOCATION:Virtual\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20211012T080000
DTEND;TZID=America/Los_Angeles:20211012T170000
DTSTAMP:20260405T140951
CREATED:20220628T021128Z
LAST-MODIFIED:20220628T021128Z
UID:10000396-1634025600-1634058000@arize.com
SUMMARY:The Rise of ML Observability
DESCRIPTION:On-Demand \nDetecting\, diagnosing and resolving ML model performance can be difficult for even the most sophisticated ML engineers. Join Arize co-founders Aparna Dhinakaran and Jason Lopatecki as they reflect on the evolution of ML observability since pioneering the space over one year ago and demo the Arize AI platform publicly for the first time. \nIn this session\, we will explore: \nThe challenges of productionalizing ML\nWhy an evaluation store is becoming a critical piece of the ML infrastructure stack\nThe four pillars of ML observability and how to tackle each: drift\, performance analysis\, data quality and explainability
URL:https://arize.com/community-events/the-rise-of-ml-observability/
LOCATION:Virtual\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20210916T080000
DTEND;TZID=America/Los_Angeles:20210916T170000
DTSTAMP:20260405T140951
CREATED:20220628T021744Z
LAST-MODIFIED:20220628T021814Z
UID:10000402-1631779200-1631811600@arize.com
SUMMARY:ML Observability 101: How To Make Your Models Work IRL
DESCRIPTION:
URL:https://arize.com/community-events/ml-observability-101-how-to-make-your-models-work-irl/
LOCATION:Virtual\, United States
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