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X-WR-CALDESC:Events for Arize AI
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DTSTART;TZID=America/Los_Angeles:20220505T130000
DTEND;TZID=America/Los_Angeles:20220505T133000
DTSTAMP:20260403T161456
CREATED:20220420T214614Z
LAST-MODIFIED:20220823T203917Z
UID:10000374-1651755600-1651757400@arize.com
SUMMARY:Drift Happens\, featuring Justin Chen of Google
DESCRIPTION: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. \nThis week we are joined by Justin Chen\, Justin received his PhD in Physics from Rice University before making the transition to machine learning in industry. Justin has spent the last few years as a Machine Learning Engineer at Manifold building and deploying end to end ML and data pipelines from the ground up. He has recently made the transition to Google where he is currently on the hotword team. \nJoin our Slack community to learn from machine learning engineers\, data scientists\, and AI researchers who are building more effective and responsible AI with ML observability.
URL:https://arize.com/community-events/drift-happens-6/
CATEGORIES:Drift Happens
ATTACH;FMTTYPE=image/png:https://arize.com/wp-content/uploads/2022/04/Justin_Chen-Headshot.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220504T080000
DTEND;TZID=America/Los_Angeles:20220628T170000
DTSTAMP:20260403T161456
CREATED:20220628T020443Z
LAST-MODIFIED:20220628T020443Z
UID:10000388-1651651200-1656435600@arize.com
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
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220428T130000
DTEND;TZID=America/Los_Angeles:20220428T133000
DTSTAMP:20260403T161456
CREATED:20220412T172709Z
LAST-MODIFIED:20220823T204350Z
UID:10000369-1651150800-1651152600@arize.com
SUMMARY:Drift Happens\, featuring Sylvia Si-Wei Lu
DESCRIPTION:Join us Thursday April 28th\, 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 \n\n\nSylvia Si-Wei Lu is an academic researcher and J.S.D. candidate at U.C. Berkeley School of Law\, where her research interests include artificial intelligence regulation\, data governance\, data privacy and more. She holds an LL.M from the UC Berkeley School of Law and the National Tsing Hua University\, Institute of Law for Science and Technology.
URL:https://arize.com/community-events/drift-happens-sylvia-si-wei-lu/
LOCATION:https://arize.zoom.us/j/82831610497
ATTACH;FMTTYPE=image/png:https://arize.com/wp-content/uploads/2022/04/Sylvia-Headshot.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220421T080000
DTEND;TZID=America/Los_Angeles:20220421T170000
DTSTAMP:20260403T161456
CREATED:20220628T020549Z
LAST-MODIFIED:20220823T210408Z
UID:10000389-1650528000-1650560400@arize.com
SUMMARY:Drift Happens\, featuring Jiazhen Zhu of Walmart Global Tech
DESCRIPTION:Join us Thursday April 21st\, 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. \nJiazhen Zhu is a Senior Data Engineer / Machine Learning Engineer\, Tech Lead\, at Walmart Global Tech. With a responsibilities spanning both data and machine learning engineering\, Zhu leads an end-to-end data team at Walmart Global Governance DSI\, a diverse group of data engineers and data scientists united in building a better protection platform through data-driven decisions and data-powered products. Before Walmart Global Tech\, Zhu held data science and engineering roles at NTT Data and Citi.
URL:https://arize.com/community-events/drift-happens-featuring-jiazhen-zhu-of-walmart-global-tech-2/
LOCATION:Virtual\, United States
ATTACH;FMTTYPE=image/png:https://arize.com/wp-content/uploads/2022/04/Jiazhen-Zhu.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220414T130000
DTEND;TZID=America/Los_Angeles:20220414T133000
DTSTAMP:20260403T161456
CREATED:20220408T014621Z
LAST-MODIFIED:20220823T204821Z
UID:10000365-1649941200-1649943000@arize.com
SUMMARY:Drift Happens\, featuring Elizabeth Hutton from Cisco
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 \n\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-featuring-elizabeth-hutton-from-cisco/
LOCATION:https://arize.zoom.us/j/82831610497
ATTACH;FMTTYPE=image/png:https://arize.com/wp-content/uploads/2022/04/Elizabeth-Hutton.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220414T080000
DTEND;TZID=America/Los_Angeles:20220414T170000
DTSTAMP:20260403T161456
CREATED:20220628T020706Z
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:20260403T161456
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:20260403T161456
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:20260403T161456
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:20260403T161456
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:20260403T161456
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:20260403T161456
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:20260403T161456
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:20260403T161456
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:20260403T161456
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:20260403T161456
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
END:VEVENT
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