Understanding MLOps in the Era of GenAI

GDG Surrey

MLOps or ML Ops is a paradigm that aims to deploy and maintain machine learning models in production reliably and efficiently. The word is a compound of "machine learning" and the continuous delivery practice (CI/CD) of DevOps in the software field. This event is part of the Google I/O Extended and Build with AI series This event is part of the Google I/O Extended and Build with AI series

Sep 4, 1:00 – 2:00 AM

88 RSVP'd

Key Themes

AIBuild with AICareer DevelopmentCloudCommunity BuildingDataDevOpsGeminiGoogle I/O ExtendedInclusionMachine LearningNetworkingVertex AI

About this event

MLOps or ML Ops is a paradigm that aims to deploy and maintain machine learning models in production reliably and efficiently. The word is a compound of "machine learning" and the continuous delivery practice (CI/CD) of DevOps in the software field. This event is part of the Google I/O Extended and Build with AI series.


Speaker

  • Raghavendra Guttur

    Dell EMC, Singapore

    Technical Director - GenAI

Partners

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Jam.dev

JetBrains logo

JetBrains

Organizers

  • Priti yadav

    Noddle Care Inc.

    GDG Organizer

  • Yashi Girdhar

    Software Developer, Event Manager

  • Sam Huo

    Senior Software Developer, Co-Organizer

  • Sowndarya Venkateswaran

    Data Scientist, Instructor

  • Riya Eliza

    The University of British Columbia

    Graduate student | Mentor

  • Darshan Parikh

    Autodesk Inc.

    Android Engineer | Co - Organizer

  • Justin Xiao

    British Columbia Institute of Technology

    Outreach Coordinator

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