WeAreDevelopers Logo WeAreDevelopers
Sign in
For You LIVE
World Congress 2021 • Jun 30, 2021

Effective Machine Learning - Managing Complexity with MLOps

Simon Stiebellehner

Stop treating machine learning models like standard code. Adopt MLOps to bridge the deployment gap and transform isolated notebooks into automated, reliable production pipelines.

Effective Machine Learning - Managing Complexity with MLOps thumbnail

Checking access…

Playback and chapters load privately for Free videos.

Matching moments

5:28 min

Defining MLOps and its role in production systems

Hauke Brammer · World Congress 2023

4:19 min

Introduction to DevOps for AI and MLOps

Aarno Aukia · LIVE

3:56 min

Solving application deployment complexities using LLMOps pipelines

Anshul Jindal Anshul Jindal · World Congress 2025

2:15 min

Bridging the gap between model management and devops

Joy Joy · World Congress 2024

5:28 min

Navigating machine learning operations and maturity level frameworks

Julian Joseph · LIVE

3:46 min

The evolution and fragmentation of enterprise MLOps stacks

Eric Wang Eric Wang +1 · World Congress 2026 North America

More from World Congress 2021

Micro Frontends with Module Federation: Why and How? thumbnail
45:40

Micro Frontends with Module Federation: Why and How?

Manfred Steyer · ANGULARarchitects.io

Data Science on Software Data thumbnail
48:10

Data Science on Software Data

Markus Harrer · innoQ

The journey from developer to devops - what i've learnt along the way thumbnail
42:44

The journey from developer to devops - what i've learnt along the way

Liam Hurrel +1

How Data is Shaping our Games thumbnail
43:30

How Data is Shaping our Games

Johanna Pirker · LMU Munich and TU Graz

Cross platform Augmented Reality development with React Native thumbnail
40:50

Cross platform Augmented Reality development with React Native

Vladimir Novick

How to Build a Monetization Strategy Based on User's in-app Behavior thumbnail
38:59

How to Build a Monetization Strategy Based on User's in-app Behavior

Natalie Sieradzki

Upcoming sessions on this topic

Open session

Engineering AI Strategy: Beyond the Hype

  • Omkar Srivastava

    ADSK

    Engineering Leader

Open session

The Dream Team You Didn't Know You Had - Multi-Model, Multi-Agent, One Software Lifecycle

  • Aditya Dua

    GitHub

    Senior Manager, Field Services, SAARC

Open session

Bypassing the GPU Tax: Smart Layer-7 Routing with Small Language Models (SLMs)

  • Sagar Utekar

    CrowdStrike

    SRE

Open session

Build Enterprise-Grade Agentic Workflows with AI Agents and Distributed Transactions

  • Bharath MC

    Oracle

    Principal Platform Software Engineer

  • Pruthvithej R

    Oracle

    Lead Principal Platform Software Engineer

Open session

Build Otto: Ship an AI Agent Without Redeploying

  • Abhishek Hiremath

    LaunchDarkly

    Senior Solutions Engineers

Open session

Decision models for developers who use LLMs

  • Anurag Bhandari

    antelligent

    CTO

Related videos

The state of MLOps - machine learning in production at enterprise scale thumbnail
47:19

The state of MLOps - machine learning in production at enterprise scale

Bas Geerdink

LIVE · Mar 2022

DevOps for Machine Learning thumbnail
44:40

DevOps for Machine Learning

Hauke Brammer

World Congress · 2021

MLOps - What’s the deal behind it? thumbnail
29:24

MLOps - What’s the deal behind it?

Nico Axtmann

World Congress · 2022

Deployed ML models need your feedback too thumbnail
37:24

Deployed ML models need your feedback too

David Mosen

World Congress · 2021

From Traction to Production: Maturing your LLMOps step by step thumbnail
41:45

From Traction to Production: Maturing your LLMOps step by step

Maxim Salnikov

LIVE · Nov 2024

DevOps for AI: running LLMs in production with Kubernetes and KubeFlow thumbnail
34:21

DevOps for AI: running LLMs in production with Kubernetes and KubeFlow

Aarno Aukia

LIVE · Oct 2024

Related articles

From learning to earning

Jobs that call for the skills explored in this talk.