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X-ORIGINAL-URL:https://arize.com
X-WR-CALDESC:Events for Arize AI
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20221206T073000
DTEND;TZID=America/Los_Angeles:20221206T083000
DTSTAMP:20260621T134043
CREATED:20221020T150030Z
LAST-MODIFIED:20221020T150030Z
UID:10000325-1670311800-1670315400@arize.com
SUMMARY:Keeping Your Model In Production
DESCRIPTION:So you have built and deployed your model into production – now what? Building a model and taking it from experimentation to production is hard — and keeping it there is even harder! How do you know your models are doing well? And how do you know when you need to retrain your model? \nDuring this workshop\, we’ll tackle these questions through the lens of a credit card churn model use case.  \nWe’ll cover the following steps: \n\nIngest data from storage into Arize\nSet up monitoring around drift\, data quality and performance\nTroubleshoot performance degradation and model drift \nImplement fairness checks in production \n\nBy the end of this workshop\, you’ll have the ability to know when your model is broken\, how to quickly find the root cause\, and when to retrain. 
URL:https://arize.com/community-events/keeping-your-model-in-production/
LOCATION:Virtual\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20221130T080000
DTEND;TZID=America/Los_Angeles:20221130T170000
DTSTAMP:20260621T134043
CREATED:20221020T151300Z
LAST-MODIFIED:20221103T163128Z
UID:10000329-1669795200-1669827600@arize.com
SUMMARY:Pragmatic Applications: - Optimize Demand Forecasting
DESCRIPTION:
URL:https://arize.com/community-events/pragmatic-applications-optimize-demand-forecasting/
LOCATION:Virtual\, United States
ATTACH;FMTTYPE=image/jpeg:https://arize.com/wp-content/uploads/2022/10/Pragmatic-Applications-Series-Demand-Forecasting.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20221116T090000
DTEND;TZID=America/Los_Angeles:20221116T093000
DTSTAMP:20260621T134043
CREATED:20221020T151215Z
LAST-MODIFIED:20221103T163304Z
UID:10000328-1668589200-1668591000@arize.com
SUMMARY:Pragmatic Applications: NLP Classification
DESCRIPTION:From images and video to natural language and audio\, unstructured data coupled with machine learning can unlock deeper AI potential and ROI for many organizations and use cases. Embeddings are the core of how deep learning models represent structures and are fundamental to how the next generation of ML models work. \nJoin this workshop to: \n\nTroubleshoot a sentiment classification model in production\nLearn about emerging techniques like UMAP to transform unstructured data into embeddings that can be more efficiently processed by ML models\nImplement new technologies to monitor and improve models in production\n\nSign up now and try out these approaches and tools in a hands-on workshop!
URL:https://arize.com/community-events/pragmatic-applications-nlp-classification/
LOCATION:Virtual\, United States
ATTACH;FMTTYPE=image/jpeg:https://arize.com/wp-content/uploads/2022/10/Pragmatic-Applications-Series-NLP.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20221109T090000
DTEND;TZID=America/Los_Angeles:20221109T093000
DTSTAMP:20260621T134043
CREATED:20221020T151101Z
LAST-MODIFIED:20221103T200932Z
UID:10000327-1667984400-1667986200@arize.com
SUMMARY:Pragmatic Applications: Detecting Fraud
DESCRIPTION:Every year\, fraud costs the global economy over $5 trillion. AI practitioners are on the front lines of this battle building and deploying sophisticated ML models to detect fraud\, saving organizations billions of dollars in the process. Of course\, it’s a challenging task as fraud takes many forms and attacks vectors across industries. ML teams need an approach that is both reactive in monitoring key metrics and proactive in measuring drift\, counter-abuse ML teams. \nIn this webinar\, you’ll learn best practices for how to: \n\nAccount for model\, feature and actuals drift to ensure your models stay relevant\nTroubleshoot performance degradations across various cohorts\nAvoid common pitfalls from misleading evaluation metrics to imbalanced datasets
URL:https://arize.com/community-events/pragmatic-applications-detecting-fraud/
LOCATION:Virtual\, United States
ATTACH;FMTTYPE=image/jpeg:https://arize.com/wp-content/uploads/2022/10/Pragmatic-Applications-Series-Fraud.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20221102T090000
DTEND;TZID=America/Los_Angeles:20221102T093000
DTSTAMP:20260621T134043
CREATED:20221020T150851Z
LAST-MODIFIED:20221103T201355Z
UID:10000326-1667379600-1667381400@arize.com
SUMMARY:Pragmatic Applications Series: Improving Churn Models
DESCRIPTION:You are a machine learning engineer at a credit card company who is responsible for building a model to predict customer churn. After building your model\, you will need to monitor its performance\, drift\, as well as any data quality issues in production. Arize will show you how to monitor and troubleshoot performance\, drift and data quality issues in production. \nIn this workshop\, you’ll learn best practices for how to: \n\nSet-up performance\, drift and data quality monitoring to better understand how your model is performing. \nDiscover feature drifts corresponding to time periods of performance degradation and how to resolve them.\nCheck to see if explainability and algorithm bias are having an impact on your model decisions. 
URL:https://arize.com/community-events/pragmatic-applications-series-improving-churn-models/
LOCATION:Virtual\, United States
ATTACH;FMTTYPE=image/jpeg:https://arize.com/wp-content/uploads/2022/10/Pragmatic-Applications-Series-Churn.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20221026
DTEND;VALUE=DATE:20221028
DTSTAMP:20260621T134043
CREATED:20221020T145518Z
LAST-MODIFIED:20221103T201442Z
UID:10000324-1666742400-1666915199@arize.com
SUMMARY:IMPACT 2022
DESCRIPTION:
URL:https://arize.com/community-events/impact-2022/
LOCATION:Virtual\, United States
ATTACH;FMTTYPE=image/png:https://arize.com/wp-content/uploads/2022/10/Impact2022.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20221011T083000
DTEND;TZID=America/Los_Angeles:20221011T160000
DTSTAMP:20260621T134043
CREATED:20220912T215831Z
LAST-MODIFIED:20220912T220354Z
UID:10000321-1665477000-1665504000@arize.com
SUMMARY:The Feature Store Summit
DESCRIPTION:
URL:https://arize.com/community-events/the-feature-store-summit/
LOCATION:Virtual\, United States
ATTACH;FMTTYPE=image/jpeg:https://arize.com/wp-content/uploads/2022/09/feature-store-summit.jpeg
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20220929
DTEND;VALUE=DATE:20221001
DTSTAMP:20260621T134043
CREATED:20220826T014208Z
LAST-MODIFIED:20220826T014614Z
UID:10000411-1664409600-1664582399@arize.com
SUMMARY:Data Centric AI Summit
DESCRIPTION:
URL:https://arize.com/community-events/data-centric-ai-summit/
LOCATION:Virtual\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220921T090000
DTEND;TZID=America/Los_Angeles:20220921T100000
DTSTAMP:20260621T134043
CREATED:20220818T015800Z
LAST-MODIFIED:20220818T015812Z
UID:10000410-1663750800-1663754400@arize.com
SUMMARY:In Defense of Central ML
DESCRIPTION:
URL:https://arize.com/community-events/in-defense-of-central-ml/
LOCATION:Virtual\, United States
ATTACH;FMTTYPE=image/jpeg:https://arize.com/wp-content/uploads/2022/08/In_Defense_of_Central_ML-Blog-1600x900-1.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220915T120000
DTEND;TZID=America/Los_Angeles:20220915T123000
DTSTAMP:20260621T134043
CREATED:20220912T215643Z
LAST-MODIFIED:20220912T215643Z
UID:10000412-1663243200-1663245000@arize.com
SUMMARY:Drift Happens Featuring Shafiq Shivji of mParticle
DESCRIPTION:
URL:https://arize.com/community-events/drift-happens-featuring-shafiq-shivji-of-mparticle/
LOCATION:Virtual\, United States
CATEGORIES:Drift Happens
ATTACH;FMTTYPE=image/jpeg:https://arize.com/wp-content/uploads/2022/09/Calendar-promo.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220914T110000
DTEND;TZID=America/Los_Angeles:20220914T120000
DTSTAMP:20260621T134043
CREATED:20220816T162039Z
LAST-MODIFIED:20221116T191828Z
UID:10000409-1663153200-1663156800@arize.com
SUMMARY:Women in AI x Arize AI: Run\, Don’t Walk Through the Red Tape
DESCRIPTION:
URL:https://arize.com/community-events/women-in-ai-x-arize-ai-run-dont-walk-through-the-red-tape/
LOCATION:Virtual\, United States
ATTACH;FMTTYPE=image/jpeg:https://arize.com/wp-content/uploads/2022/08/Blog-1600x900-1.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220817T110000
DTEND;TZID=America/Los_Angeles:20220817T113000
DTSTAMP:20260621T134043
CREATED:20220803T202504Z
LAST-MODIFIED:20220823T175218Z
UID:10000408-1660734000-1660735800@arize.com
SUMMARY:The Evolution of the Data Stack
DESCRIPTION:
URL:https://arize.com/community-events/the-evolution-of-the-data-stack/
LOCATION:Virtual\, United States
ATTACH;FMTTYPE=image/jpeg:https://arize.com/wp-content/uploads/2022/08/Landing-page-image-2-1.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220816T093000
DTEND;TZID=America/Los_Angeles:20220816T100000
DTSTAMP:20260621T134043
CREATED:20220714T225038Z
LAST-MODIFIED:20220714T225038Z
UID:10000405-1660642200-1660644000@arize.com
SUMMARY:ValleyML AI Expo 2022
DESCRIPTION:
URL:https://arize.com/community-events/valleyml-ai-expo-2022/
LOCATION:Virtual\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220811T130000
DTEND;TZID=America/Los_Angeles:20220811T140000
DTSTAMP:20260621T134043
CREATED:20220718T191040Z
LAST-MODIFIED:20220801T203752Z
UID:10000406-1660222800-1660226400@arize.com
SUMMARY:Closing The Loop: Monitor and Improve ML Models w/ PagerDuty and Arize
DESCRIPTION:Join us for a live twitch stream with Jack Zhou and Amber Roberts as they highlight the new Arize/PagerDuty integration.
URL:https://arize.com/community-events/closing-the-loop-monitor-and-improve-ml-models-w-pagerduty-and-arize/
LOCATION:Virtual\, United States
ATTACH;FMTTYPE=image/png:https://arize.com/wp-content/uploads/2022/07/Pager-Duty-August-11th-.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220810T000000
DTEND;TZID=America/Los_Angeles:20220810T000000
DTSTAMP:20260621T134043
CREATED:20220628T014459Z
LAST-MODIFIED:20220713T180033Z
UID:10000380-1660089600-1660089600@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 enterprises 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. Join us for this virtual event.
URL:https://arize.com/community-events/voices-of-ml-leaders/
LOCATION:Virtual\, United States
ATTACH;FMTTYPE=image/jpeg:https://arize.com/wp-content/uploads/2022/06/ArizeVectice_Social-3-1.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220803T080000
DTEND;TZID=America/Los_Angeles:20220804T170000
DTSTAMP:20260621T134043
CREATED:20220628T015346Z
LAST-MODIFIED:20220628T015346Z
UID:10000382-1659513600-1659632400@arize.com
SUMMARY:The Future of Data-Centric AI
DESCRIPTION:A free virtual event to explore data-centric approaches that make AI practical. Hosted by Snorkel AI
URL:https://arize.com/community-events/the-future-of-data-centric-ai/
LOCATION:Virtual\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220728T100000
DTEND;TZID=America/Los_Angeles:20220728T120000
DTSTAMP:20260621T134043
CREATED:20220706T212637Z
LAST-MODIFIED:20220711T194316Z
UID:10000404-1659002400-1659009600@arize.com
SUMMARY:Arize X W&B Meetup
DESCRIPTION:Join us for the first Arize x W&B virtual event! You’ll learn how to build better/faster models using Weights & Biases and then monitor those models in production with Arize. Building a model and taking it from experimentation to production is hard — and keeping it there is even harder! During this workshop you will build a model to predict customer churn with Weights and Biases\, using tools like Hyperparameter Sweeps and Reports to share your findings. Once you’ve built a solid candidate model\, Arize is going to show you how to monitor and troubleshoot performance\, drift and data quality issues in production. This virtual meetup will also include challenges and prizes\, so come learn how to build\, deploy\, and monitor your models using W&B – the developer-first experiment monitoring tool – and Arize – the industry’s top ML Observability Platform.
URL:https://arize.com/community-events/arize-x-wb-meetup/
LOCATION:Virtual\, United States
ATTACH;FMTTYPE=image/jpeg:https://arize.com/wp-content/uploads/2022/07/Arize_wandb-workshop.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220712T090000
DTEND;TZID=America/Los_Angeles:20220712T093000
DTSTAMP:20260621T134043
CREATED:20220531T055045Z
LAST-MODIFIED:20220711T194416Z
UID:10000377-1657616400-1657618200@arize.com
SUMMARY:ML Observability Workshop Series
DESCRIPTION:
URL:https://arize.com/community-events/ml-observability-workshop-series/2022-07-12/
LOCATION:Virtual\, United States
CATEGORIES:Workshop Series
ATTACH;FMTTYPE=image/jpeg:https://arize.com/wp-content/uploads/2022/05/Events-page-promo-card.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220623T080000
DTEND;TZID=America/Los_Angeles:20220623T170000
DTSTAMP:20260621T134043
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
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220621T080000
DTEND;TZID=America/Los_Angeles:20220628T015628
DTSTAMP:20260621T134043
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:20260621T134043
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:20220529T080000
DTEND;TZID=America/Los_Angeles:20220529T170000
DTSTAMP:20260621T134043
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:20220518T080000
DTEND;TZID=America/Los_Angeles:20220519T170000
DTSTAMP:20260621T134043
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:20260621T134043
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:20220510T080000
DTEND;TZID=America/Los_Angeles:20220511T170000
DTSTAMP:20260621T134043
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:20220421T080000
DTEND;TZID=America/Los_Angeles:20220421T170000
DTSTAMP:20260621T134043
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:20220414T080000
DTEND;TZID=America/Los_Angeles:20220414T170000
DTSTAMP:20260621T134043
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:20220223T080000
DTEND;TZID=America/Los_Angeles:20220223T170000
DTSTAMP:20260621T134043
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:20220122T080000
DTEND;TZID=America/Los_Angeles:20220122T170000
DTSTAMP:20260621T134043
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:20260621T134043
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
END:VCALENDAR