OCT192026

MLOps World 2026

by MLOps Community

conferenceHybridUpcomingStarts in 6 months

Machine Learning Operations Conference

October 19–21, 2026·San Francisco, California, United States·2000+ attendees·Paid · Free tier
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THE DAILY BRIEF

OCT192026

MLOps World 2026

by MLOps Community

conferenceHybridupcoming

Machine Learning Operations Conference

About This Event

MLOps World focuses on the operational aspects of machine learning, covering deployment, monitoring, governance, and scaling ML systems in production. Features case studies from leading companies.

At a Glance

Date
October 19–21, 2026
Location
San Francisco, California, United States
Format
Hybrid
Event Type
Conference
Status
Upcoming
Expected Attendance
2000+
Pricing
Paid (Free tier available)
Organizer
MLOps Community
Source
Manual Seed
Discovered
May 15, 2026
Last Updated
2026-05-16

Topics & Focus Areas

MLOpsAI InfrastructureModel DeploymentAI Governance

Who Should Attend

  • Engineers
  • Data Scientists
  • Platform Engineers
  • CTOs

Organizer

M

MLOps Community

mlopsworld.com

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LinkedIn: linkedin.com/in/rberi  |  X: x.com/rajeshberi

© 2026 Rajesh Beri. All rights reserved.

About This Event

MLOps World focuses on the operational aspects of machine learning, covering deployment, monitoring, governance, and scaling ML systems in production. Features case studies from leading companies.

At a Glance

Date
October 19–21, 2026
Location
San Francisco, California, United States
Format
Hybrid
Event Type
Conference
Status
Upcoming
Expected Attendance
2000+
Pricing
Paid (Free tier available)
Organizer
MLOps Community
Source
Manual Seed
Discovered
May 15, 2026
Last Updated
2026-05-16

Topics & Focus Areas

MLOpsAI InfrastructureModel DeploymentAI Governance

Who Should Attend

  • Engineers
  • Data Scientists
  • Platform Engineers
  • CTOs

Why Attend

MLOps World is the premier conference for machine learning operations, model deployment, and production ML infrastructure. Unlike research-focused AI conferences, MLOps World targets ML engineers, data platform teams, and DevOps leaders responsible for deploying, monitoring, and scaling ML models in production. The event features deep technical sessions on model versioning, CI/CD for ML, feature stores, model monitoring, and real-world case studies from companies running thousands of models at scale. It's ideal for teams moving beyond Jupyter notebooks to production-grade ML systems.

Event Features

  • Premier MLOps conference (1,500+ attendees)
  • Technical sessions on production ML systems
  • Hands-on workshops (model deployment, monitoring)
  • Real-world case studies (Uber, Netflix, Airbnb)
  • Deep-dives on feature stores, model versioning
  • CI/CD for ML pipelines
  • Model monitoring and observability
  • Expo with MLOps tools and platforms
  • Networking with ML engineers and platform teams
  • Two-day intensive program
  • Focus on production challenges (not research)
  • Recording access for attendees

What Makes This Unique

  • Exclusive focus on MLOps (not general ML)
  • Production ML systems over research
  • Technical depth for practitioners
  • Real-world deployment case studies
  • Hands-on workshops included
  • Community-driven speaker selection

Featured Speakers From

UberNetflixAirbnbMLOps Tool VendorsML Platform Teams

Industries Represented

MLOpsMachine Learning EngineeringData EngineeringDevOps for MLAI InfrastructureProduction ML Systems

Event Scale

80+
Speakers

Organizer

M

MLOps Community

mlopsworld.com
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