WeAreDevelopers Logo WeAreDevelopers
Sign in
For You LIVE
World Congress 2021 • Jun 28, 2021

Deployed ML models need your feedback too

David Mosen

Standard infrastructure tracking won't catch concept drift in your ML models. Learn how to build continuous feedback loops that directly link ground-truth performance to business OKRs.

Starting at 19:50 · Watch from the beginning

Deployed ML models need your feedback too thumbnail

Checking access…

Playback and chapters load privately for Free videos.

Matching moments

4:01 min

Transitioning artificial intelligence into operational business environments

Stefan Donsa Stefan Donsa +1 · LIVE

5:28 min

Defining MLOps and its role in production systems

Hauke Brammer · World Congress 2023

15:08 min

Audience questions on practical machine learning operational strategies

Lina Weichbrodt · LIVE

3:08 min

Maintaining and monitoring machine learning models in production

Natalie Pistunovich · LIVE

2:15 min

Bridging the gap between model management and devops

Joy Joy · World Congress 2024

1:07 min

Navigating the complexities of machine learning model lifecycles

Iryna Kondrashchenko Iryna Kondrashchenko +1 · World Congress 2025

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

Decision models for developers who use LLMs

  • Anurag Bhandari

    antelligent

    CTO

Open session

Your AI Agents Are Bleeding Tokens: Building a Runtime Cost Control Plane for LLMs

  • Aakriti Aggarwal

    IBM Research

    Research Engineer

  • Bhavishya Pandit

    66degrees

    Leading AI Innovation

Open session

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

  • Sagar Utekar

    CrowdStrike

    SRE

Open session

Build Otto: Ship an AI Agent Without Redeploying

  • Abhishek Hiremath

    LaunchDarkly

    Senior Solutions Engineers

Related videos

Is my AI alive but brain-dead? How monitoring can tell you if your machine learning stack is still performing thumbnail
48:07

Is my AI alive but brain-dead? How monitoring can tell you if your machine learning stack is still performing

Lina Weichbrodt

LIVE · Oct 2021

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

Effective Machine Learning - Managing Complexity with MLOps thumbnail
45:45

Effective Machine Learning - Managing Complexity with MLOps

Simon Stiebellehner

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

AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment thumbnail
25:41

AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment

Joy · DCMN GmbH

World Congress · 2024

Related articles

From learning to earning

Jobs that call for the skills explored in this talk.