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BEGIN:VEVENT
DTSTART;VALUE=DATE:20221101
DTEND;VALUE=DATE:20221104
DTSTAMP:20260404T035423
CREATED:20220623T193151Z
LAST-MODIFIED:20220825T165052Z
UID:10000378-1667260800-1667519999@arize.com
SUMMARY:ODSC West
DESCRIPTION:
URL:https://arize.com/community-events/odsc-west-2/
LOCATION:Hyatt Regency San Francisco Airport\, United States
ATTACH;FMTTYPE=image/webp:https://arize.com/wp-content/uploads/2022/08/odsc.webp
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20221102T090000
DTEND;TZID=America/Los_Angeles:20221102T093000
DTSTAMP:20260404T035423
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;TZID=America/Los_Angeles:20221109T090000
DTEND;TZID=America/Los_Angeles:20221109T093000
DTSTAMP:20260404T035423
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:20221116T090000
DTEND;TZID=America/Los_Angeles:20221116T093000
DTSTAMP:20260404T035423
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;VALUE=DATE:20221128
DTEND;VALUE=DATE:20221201
DTSTAMP:20260404T035423
CREATED:20220423T212628Z
LAST-MODIFIED:20221116T191410Z
UID:10000376-1669593600-1669852799@arize.com
SUMMARY:Toronto Machine Learning Summit 2022
DESCRIPTION:
URL:https://arize.com/community-events/toronto-machine-learning-summit-2022/
LOCATION:Toronto\, Canada\, Toronto\, Canada
ATTACH;FMTTYPE=image/png:https://arize.com/wp-content/uploads/2022/08/TMLS-Logo.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20221130T080000
DTEND;TZID=America/Los_Angeles:20221130T170000
DTSTAMP:20260404T035423
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:20221206T073000
DTEND;TZID=America/Los_Angeles:20221206T083000
DTSTAMP:20260404T035423
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:20230125T090000
DTEND;TZID=America/Los_Angeles:20230125T093000
DTSTAMP:20260404T035423
CREATED:20230119T013956Z
LAST-MODIFIED:20230119T014008Z
UID:10000415-1674637200-1674639000@arize.com
SUMMARY:Improve Ranking Model Performance With ML Observability
DESCRIPTION:
URL:https://arize.com/community-events/improve-ranking-model-performance-with-ml-observability/
LOCATION:Virtual\, United States
ATTACH;FMTTYPE=image/jpeg:https://arize.com/wp-content/uploads/2023/01/Ranking-workshop-Linkedin-2.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230127T120000
DTEND;TZID=America/New_York:20230127T153000
DTSTAMP:20260404T035423
CREATED:20230109T194706Z
LAST-MODIFIED:20230109T195346Z
UID:10000414-1674820800-1674833400@arize.com
SUMMARY:WaiSymposium & Virtual Career Fair 2023
DESCRIPTION:
URL:https://arize.com/community-events/waisymposium-virtual-career-fair-2023/
LOCATION:Virtual\, United States
ATTACH;FMTTYPE=image/jpeg:https://arize.com/wp-content/uploads/2023/01/women-in-ai-canada.jpeg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20230207T100000
DTEND;TZID=America/Los_Angeles:20230207T103000
DTSTAMP:20260404T035423
CREATED:20230109T194159Z
LAST-MODIFIED:20230109T194159Z
UID:10000413-1675764000-1675765800@arize.com
SUMMARY:Arize + Anyscale Webinar: Productionizing Machine Learning with Observability\, Quality and Flexibility at Scale
DESCRIPTION:
URL:https://arize.com/community-events/arize-anyscale-webinar-productionizing-machine-learning-with-observability-quality-and-flexibility-at-scale/
LOCATION:Virtual\, United States
ATTACH;FMTTYPE=image/png:https://arize.com/wp-content/uploads/2023/01/Resources_1920x1080.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20230209T090000
DTEND;TZID=America/Los_Angeles:20230209T093000
DTSTAMP:20260404T035423
CREATED:20230201T225957Z
LAST-MODIFIED:20230202T225441Z
UID:10000419-1675933200-1675935000@arize.com
SUMMARY:Advanced Metrics Workshop Series: AI Fairness Metrics in Production
DESCRIPTION:
URL:https://arize.com/community-events/advanced-metrics-workshop-series/
LOCATION:Virtual\, United States
ATTACH;FMTTYPE=image/jpeg:https://arize.com/wp-content/uploads/2023/02/Advanced-Metric-Workshop-Series-resource-image.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20230216T090000
DTEND;TZID=America/Los_Angeles:20230216T093000
DTSTAMP:20260404T035423
CREATED:20230201T225957Z
LAST-MODIFIED:20230202T225351Z
UID:10000420-1676538000-1676539800@arize.com
SUMMARY:Advanced Metrics Workshop Series: ML Performance Metrics in Production
DESCRIPTION:
URL:https://arize.com/community-events/advanced-metrics-workshop-series-2023-02-15/
LOCATION:Virtual\, United States
ATTACH;FMTTYPE=image/jpeg:https://arize.com/wp-content/uploads/2023/02/Advanced-Metric-Workshop-Series-resource-image.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20230222T110000
DTEND;TZID=America/Los_Angeles:20230222T113000
DTSTAMP:20260404T035423
CREATED:20230131T004608Z
LAST-MODIFIED:20230202T225530Z
UID:10000416-1677063600-1677065400@arize.com
SUMMARY:Automatically Surface Issues with Unstructured Data
DESCRIPTION:
URL:https://arize.com/community-events/automatically-surface-issues-with-unstructured-data/
LOCATION:Virtual\, United States
ATTACH;FMTTYPE=image/jpeg:https://arize.com/wp-content/uploads/2023/01/Embeddings_Workshop-resource-image.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20230223
DTEND;VALUE=DATE:20230225
DTSTAMP:20260404T035423
CREATED:20230201T202335Z
LAST-MODIFIED:20230201T214026Z
UID:10000418-1677110400-1677283199@arize.com
SUMMARY:AI at Scale
DESCRIPTION:
URL:https://arize.com/community-events/ai-at-scale/
LOCATION:Virtual\, United States
ATTACH;FMTTYPE=image/jpeg:https://arize.com/wp-content/uploads/2023/02/Amber-Roberts-Speaker-Banner-B-scaled-e1675287595105.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20230223T090000
DTEND;TZID=America/Los_Angeles:20230223T093000
DTSTAMP:20260404T035423
CREATED:20230201T225957Z
LAST-MODIFIED:20230202T225231Z
UID:10000421-1677142800-1677144600@arize.com
SUMMARY:Advanced Metrics Workshop Series: Model Drift Metrics in Production
DESCRIPTION:
URL:https://arize.com/community-events/advanced-metrics-workshop-series-2023-02-22/
LOCATION:Virtual\, United States
ATTACH;FMTTYPE=image/jpeg:https://arize.com/wp-content/uploads/2023/02/Advanced-Metric-Workshop-Series-resource-image.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20230308T100000
DTEND;TZID=America/Los_Angeles:20230308T103000
DTSTAMP:20260404T035423
CREATED:20230216T215215Z
LAST-MODIFIED:20230216T215248Z
UID:10000422-1678269600-1678271400@arize.com
SUMMARY:Data Visualization for ML Observability in 3 Easy Steps
DESCRIPTION:
URL:https://arize.com/community-events/data-visualization-for-ml-observability-in-3-easy-steps/
LOCATION:Virtual\, United States
ATTACH;FMTTYPE=image/jpeg:https://arize.com/wp-content/uploads/2023/02/Resource-Data-Ingestion-workshop.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20230321T130000
DTEND;TZID=America/Los_Angeles:20230321T140000
DTSTAMP:20260404T035423
CREATED:20230201T201910Z
LAST-MODIFIED:20230202T225623Z
UID:10000417-1679403600-1679407200@arize.com
SUMMARY:NVIDIA CTA: How to Develop AI Workflows and MLOps Infrastructure for Scale
DESCRIPTION:This panel will discuss and recommend building an MLOps solution for AI workflows and enterprise applications. The need for continuous delivery and automated deployment of AI workloads is a core focus of every organization.\n\n\n\n\nManish Harsh\, Global DevRel\, MLOps Integrations and Partners\, NVIDIA \nYaron Haviv\, Co-Founder and CTO\, Iguazio \nAparna Dhinakaran\, Co-founder & Chief Product Officer\, Arize AI \nShelbee Eigenbrode\, Principal ML Specialist Solutions Architect\, Amazon Web Services (AWS)
URL:https://arize.com/community-events/how-to-develop-ai-workflows-and-mlops-infrastructure-for-scale/
LOCATION:Virtual\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20230425
DTEND;VALUE=DATE:20230427
DTSTAMP:20260404T035423
CREATED:20230109T191736Z
LAST-MODIFIED:20230316T021909Z
UID:10000330-1682380800-1682553599@arize.com
SUMMARY:Arize:Observe 2023
DESCRIPTION:
URL:https://arize.com/community-events/arizeobserve-2023/
ATTACH;FMTTYPE=image/jpeg:https://arize.com/wp-content/uploads/2023/01/General-promo-speaker-tiles-1.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230511T110000
DTEND;TZID=America/New_York:20230511T120000
DTSTAMP:20260404T035423
CREATED:20230509T164542Z
LAST-MODIFIED:20230509T165305Z
UID:10000337-1683802800-1683806400@arize.com
SUMMARY:ODSC East
DESCRIPTION:
URL:https://arize.com/community-events/odsc-east/
LOCATION:Boston\, MA\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20230517T093000
DTEND;TZID=America/Los_Angeles:20230517T100000
DTSTAMP:20260404T035423
CREATED:20230422T000251Z
LAST-MODIFIED:20230503T222820Z
UID:10000334-1684315800-1684317600@arize.com
SUMMARY:Workshop Series Part 1: Identifying Recommendation Bias In Ranking Models
DESCRIPTION:
URL:https://arize.com/community-events/workshop-series-part-4-identifying-recommendation-bias-in-ranking-models/
LOCATION:Virtual\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20230518T110000
DTEND;TZID=America/Los_Angeles:20230518T233000
DTSTAMP:20260404T035423
CREATED:20230503T160203Z
LAST-MODIFIED:20230503T160203Z
UID:10000335-1684407600-1684452600@arize.com
SUMMARY:[Workshop] ML Observability and Active Learning for Image Classification with Phoenix
DESCRIPTION:
URL:https://arize.com/community-events/workshop-ml-observability-and-active-learning-for-image-classification-with-phoenix/
LOCATION:Virtual\, United States
ATTACH;FMTTYPE=image/png:https://arize.com/wp-content/uploads/2023/05/Phoenix_Workshop_Series_ML-Observability-Active-Learning_Thumbnail_250x250.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20230524T093000
DTEND;TZID=America/Los_Angeles:20230524T100000
DTSTAMP:20260404T035423
CREATED:20230422T000059Z
LAST-MODIFIED:20230422T000059Z
UID:10000332-1684920600-1684922400@arize.com
SUMMARY:Workshop Series Part 2: Real-Time Observability In ‘The Age of AI’
DESCRIPTION:
URL:https://arize.com/community-events/workshop-series-part-2-real-time-observability-in-the-age-of-ai/
LOCATION:Virtual\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20230524T101500
DTEND;TZID=America/Los_Angeles:20230524T110000
DTSTAMP:20260404T035423
CREATED:20230524T003008Z
LAST-MODIFIED:20230524T003008Z
UID:10000423-1684923300-1684926000@arize.com
SUMMARY:Community Paper Reading
DESCRIPTION:
URL:https://arize.com/community-events/community-paper-reading/
LOCATION:Virtual\, United States
ATTACH;FMTTYPE=image/jpeg:https://arize.com/wp-content/uploads/2023/05/Community-Paper-Reading-general.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20230530T093000
DTEND;TZID=America/Los_Angeles:20230530T140000
DTSTAMP:20260404T035423
CREATED:20230509T164752Z
LAST-MODIFIED:20230516T160420Z
UID:10000338-1685439000-1685455200@arize.com
SUMMARY:Apply (risk)
DESCRIPTION:
URL:https://arize.com/community-events/apply-risk/
LOCATION:Virtual\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20230531T093000
DTEND;TZID=America/Los_Angeles:20230531T100000
DTSTAMP:20260404T035423
CREATED:20230422T000200Z
LAST-MODIFIED:20230422T000200Z
UID:10000333-1685525400-1685527200@arize.com
SUMMARY:Workshop Series Part 3: Zero To Hero: High-Dimensional Data Visualization
DESCRIPTION:
URL:https://arize.com/community-events/workshop-series-part-3-zero-to-hero-high-dimensional-data-visualization/
LOCATION:Virtual\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20230531T101500
DTEND;TZID=America/Los_Angeles:20230531T110000
DTSTAMP:20260404T035423
CREATED:20230524T003113Z
LAST-MODIFIED:20230524T003113Z
UID:10000424-1685528100-1685530800@arize.com
SUMMARY:Community Paper Reading
DESCRIPTION:
URL:https://arize.com/community-events/community-paper-reading-2/
LOCATION:Virtual\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20230601T173000
DTEND;TZID=America/Los_Angeles:20230601T200000
DTSTAMP:20260404T035423
CREATED:20230516T160013Z
LAST-MODIFIED:20230516T160029Z
UID:10000339-1685640600-1685649600@arize.com
SUMMARY:Workshop: Fine-tune and Analyze LLMs
DESCRIPTION:
URL:https://arize.com/community-events/workshop-fine-tune-and-analyze-llms/
LOCATION:San Francisco\, United States
ATTACH;FMTTYPE=image/jpeg:https://arize.com/wp-content/uploads/2023/05/Fine-tune-and-Analyze-LLMs.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20230607T080000
DTEND;TZID=America/Los_Angeles:20230607T170000
DTSTAMP:20260404T035423
CREATED:20230509T163809Z
LAST-MODIFIED:20230516T160337Z
UID:10000336-1686124800-1686157200@arize.com
SUMMARY:Fully Connected
DESCRIPTION:
URL:https://arize.com/community-events/fully-connected/
LOCATION:San Francisco\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20230607T093000
DTEND;TZID=America/Los_Angeles:20230607T100000
DTSTAMP:20260404T035423
CREATED:20230421T235924Z
LAST-MODIFIED:20230503T222850Z
UID:10000331-1686130200-1686132000@arize.com
SUMMARY:Workshop Series Part 4: Fundamentals of Dynamic Monitoring and Performance Insights
DESCRIPTION:
URL:https://arize.com/community-events/workshop-series-part-1-fundamentals-of-dynamic-monitoring-and-performance-insights/
LOCATION:Virtual\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20230607T101500
DTEND;TZID=America/Los_Angeles:20230607T110000
DTSTAMP:20260404T035423
CREATED:20230606T032101Z
LAST-MODIFIED:20230606T032101Z
UID:10000428-1686132900-1686135600@arize.com
SUMMARY:Community Paper Reading
DESCRIPTION:
URL:https://arize.com/community-events/community-paper-reading-3/
LOCATION:Virtual\, United States
ATTACH;FMTTYPE=image/jpeg:https://arize.com/wp-content/uploads/2023/06/Community-Paper-Reading-Blog-cover.jpg
END:VEVENT
END:VCALENDAR