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METHOD:PUBLISH
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TZID:America/New_York
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DTSTART:19700101T000000
TZOFFSETFROM:-0500
TZOFFSETTO:-0500
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UID:c9539a94-d462-4091-a7d5-ceb321382c8d@world-conf
DTSTAMP:20261108T000538Z
LAST-MODIFIED:20261014T040222Z
SEQUENCE:0
DTSTART;TZID=America/New_York:20261209T180000
DTEND;TZID=America/New_York:20261209T193000
SUMMARY:Azure Machine Learning Step 6: Team Environment & Enterprise Govern
 ance
URL:http://localhost:8080/en/events/azure-machine-learning-step-6-team-envi
 ronment-enterprise-go-2026-12/
DESCRIPTION:The sixth session in the Azure Machine Learning series moves fr
 om individual workflows to team-based development and enterprise-scale gov
 ernance. It covers structuring workspaces\, hubs\, and registries for coll
 aboration\, managing access with Azure RBAC and identities\, organizing sh
 ared assets\, enforcing policies and naming standards\, cost management an
 d FinOps\, and implementing CI/CD and MLOps workflows. The focus is on rep
 roducibility\, auditability\, and compliance when operating ML at organiza
 ti\n\nOfficial website: https://www.meetup.com/nashuaug/events/316193914\n
 \nSources:\n- Meetup: nashuaug: https://www.meetup.com/nashuaug/events/316
 193914\n\nhttp://localhost:8080/en/events/azure-machine-learning-step-6-te
 am-environment-enterprise-go-2026-12/
STATUS:CONFIRMED
CATEGORIES:ai,backend,data,design,devops
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ACTION:DISPLAY
DESCRIPTION:Azure Machine Learning Step 6: Team Environment & Enterprise Go
 vernance
TRIGGER:-PT1440M
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