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X-WR-CALDESC:Events for Arize AI
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DTSTART;TZID=America/Los_Angeles:20220623T080000
DTEND;TZID=America/Los_Angeles:20220623T170000
DTSTAMP:20260403T160327
CREATED:20220628T015800Z
LAST-MODIFIED:20220628T015800Z
UID:10000384-1655971200-1656003600@arize.com
SUMMARY:MLOps Day 2 Summit: Monitor\, Observe\, Explain
DESCRIPTION:So you deployed a model. Now what? \nThe AI Infrastructure Alliance’s Day 2 Summit gives you the answers you need to keep those models running smoothly. \nHear from the top platforms dedicated to the world of Machine Learning Monitoring\, Observability and Explainability
URL:https://arize.com/community-events/mlops-day-2-summit-monitor-observe-explain/
LOCATION:Virtual\, United States
ATTACH;FMTTYPE=image/png:https://arize.com/wp-content/uploads/2022/05/Linked-In.png
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220621T080000
DTEND;TZID=America/Los_Angeles:20220628T015628
DTSTAMP:20260403T160327
CREATED:20220628T015623Z
LAST-MODIFIED:20220628T015623Z
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
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220621T080000
DTEND;TZID=America/Los_Angeles:20220621T170000
DTSTAMP:20260403T160327
CREATED:20220628T020002Z
LAST-MODIFIED:20220628T020002Z
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
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220609T080000
DTEND;TZID=America/Los_Angeles:20220610T170000
DTSTAMP:20260403T160328
CREATED:20220628T020731Z
LAST-MODIFIED:20220628T020731Z
UID:10000391-1654761600-1654880400@arize.com
SUMMARY:MLOps World
DESCRIPTION:
URL:https://arize.com/community-events/mlops-world/
LOCATION:Toronto\, Canada\, Toronto\, Canada
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220602T130000
DTEND;TZID=America/Los_Angeles:20220602T133000
DTSTAMP:20260403T160328
CREATED:20220414T192823Z
LAST-MODIFIED:20220823T203627Z
UID:10000373-1654174800-1654176600@arize.com
SUMMARY:Drift Happens featuring Sid Roy of Devron
DESCRIPTION: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. \nSid Roy is currently working as a Machine Learning Engineering Manager at Devron\, a company dedicated to unlocking the innovation and insight of data without compromising privacy. Prior to his current role Sid was an AI Fellow at Insight Data Science and received his PhD in computer science with a focus in machine learning . \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-sid-roy-devron/
LOCATION:https://arize.zoom.us/j/82831610497
ATTACH;FMTTYPE=image/png:https://arize.com/wp-content/uploads/2022/04/Headshot_SidRoy.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220529T080000
DTEND;TZID=America/Los_Angeles:20220529T170000
DTSTAMP:20260403T160328
CREATED:20220628T020920Z
LAST-MODIFIED:20220628T020920Z
UID:10000393-1653811200-1653843600@arize.com
SUMMARY:Arize:Observe 2022
DESCRIPTION:
URL:https://arize.com/community-events/arizeobserve-2022/
LOCATION:Virtual\, United States
ATTACH;FMTTYPE=image/jpeg:https://arize.com/wp-content/uploads/2022/01/Linkedin-Banner.jpeg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220526T130000
DTEND;TZID=America/Los_Angeles:20220526T133000
DTSTAMP:20260403T160328
CREATED:20220414T192054Z
LAST-MODIFIED:20220823T204712Z
UID:10000372-1653570000-1653571800@arize.com
SUMMARY:Drift Happens featuring Chris Murphy of Homepoint
DESCRIPTION: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. \nThis week on Drift Happens we are joined by Chris Murphy\, Chris is currently working as a Sn Director for Data Scientists at Homepoint\, whose mission is to create financially happy\, healthy homeowners. Prior to his current role Chris was a Sn Data Scientist at Wayfair and Post-Doc in Physics at Brookhaven National Lab. \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-5/
LOCATION:https://arize.zoom.us/j/82831610497
ATTACH;FMTTYPE=image/png:https://arize.com/wp-content/uploads/2022/04/Chris_Murphy-Headshot.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220519T130000
DTEND;TZID=America/Los_Angeles:20220519T133000
DTSTAMP:20260403T160328
CREATED:20220414T191954Z
LAST-MODIFIED:20220823T204734Z
UID:10000371-1652965200-1652967000@arize.com
SUMMARY:Drift Happens featuring Mike Stefferson of Cerebral
DESCRIPTION: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. \nThis week we will be joined by Michael Stefferson. Mike has a PhD in Physics the University of Colorado and has been a staff Machine Learning Engineer at Manifold AI for the past several years. Recently\, Mike has joined Cerebral as a Staff Machine Learning Engineer. \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-4/
LOCATION:https://arize.zoom.us/j/82831610497
ATTACH;FMTTYPE=image/png:https://arize.com/wp-content/uploads/2022/04/Headshot.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220518T080000
DTEND;TZID=America/Los_Angeles:20220519T170000
DTSTAMP:20260403T160328
CREATED:20220628T020228Z
LAST-MODIFIED:20220628T020228Z
UID:10000387-1652860800-1652979600@arize.com
SUMMARY:apply(conf)
DESCRIPTION:
URL:https://arize.com/community-events/applyconf/
LOCATION:Virtual\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220516T080000
DTEND;TZID=America/Los_Angeles:20220516T170000
DTSTAMP:20260403T160328
CREATED:20220628T020812Z
LAST-MODIFIED:20220628T020812Z
UID:10000392-1652688000-1652720400@arize.com
SUMMARY:Arize for Fraud Models - Lunch and Learn
DESCRIPTION:
URL:https://arize.com/community-events/arize-for-fraud-models-lunch-and-learn/
LOCATION:Virtual\, United States
ATTACH;FMTTYPE=image/jpeg:https://arize.com/wp-content/uploads/2021/11/Blog-Cam-500x343-1.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220512T130000
DTEND;TZID=America/Los_Angeles:20220512T133000
DTSTAMP:20260403T160328
CREATED:20220414T191917Z
LAST-MODIFIED:20220823T204746Z
UID:10000370-1652360400-1652362200@arize.com
SUMMARY:Drift Happens\, featuring Yunshi Zhao of Liftoff
DESCRIPTION: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. \nCeci is a Machine Learning Engineer at Liftoff. Her responsibilities range from researching and training models to deployment. She is also part of the DEI committee at Liftoff\, focusing on diversity in engineering. Before transitioning to the startup life\, she was aerospace engineer\, Ceci is also a pitbull enthusiast! \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-3/
LOCATION:https://arize.zoom.us/j/82831610497
ATTACH;FMTTYPE=image/png:https://arize.com/wp-content/uploads/2022/04/Yunshi-Zhao-Headshot.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220510T080000
DTEND;TZID=America/Los_Angeles:20220511T170000
DTSTAMP:20260403T160328
CREATED:20220628T020109Z
LAST-MODIFIED:20220628T020109Z
UID:10000386-1652169600-1652288400@arize.com
SUMMARY:Machine Learning Summit in Finance and Insurance
DESCRIPTION:
URL:https://arize.com/community-events/machine-learning-summit-in-finance-and-insurance/
LOCATION:Virtual\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220505T130000
DTEND;TZID=America/Los_Angeles:20220505T133000
DTSTAMP:20260403T160328
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:20260403T160328
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:20260403T160328
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:20260403T160328
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:20260403T160328
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:20260403T160328
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:20260403T160328
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:20260403T160328
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:20260403T160328
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:20260403T160328
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:20260403T160328
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:20260403T160328
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:20260403T160328
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:20260403T160328
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:20260403T160328
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:20260403T160328
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
END:VCALENDAR