The Conference for Machine Learning Innovation

MLOps: DevOps for Machine Learning

Session
Join the ML Revolution!
Register until August 12:
✓ML Intro Day for free
✓Save up to $380
Register Now
Join the ML Revolution!
Register until August 12:
✓ML Intro Day for free
✓Save up to $380
Register Now
Join the ML Revolution!
Register until August 19:
✓ML Intro Day for free
✓Save up to €490
Register Now
Join the ML Revolution!
Register until August 19:
✓ML Intro Day for free
✓Save up to €490
Register Now
Join the ML Revolution!
Register until the conference starts:
✓ 2-in-1 conference special
✓ 10 % Team Discount
Register Now
Join the ML Revolution!
Register until the conference starts:
✓ 2-in-1 conference special
✓ 10 % Team Discount
Register Now
Infos
Wednesday, June 23 2021
14:00 - 14:45

In recent years, we have gained an essential insight about the field of software development: DevOps is no longer a nice to have – it is absolutely necessary. A fast pipeline of Continuous Integration, Continuous Delivery, and Continuous Deployment delivers value to customers. Delivering value and solving problems is also the goal of every machine learning model. However, building the model is the easy part. The real challenge is to build an integrated machine learning system.

You’ll leave this talk with an understanding of how we can apply learnings from "traditional" software engineering in a data science environment. You’ll learn how we can version, test, and monitor our model, our data, and all the other moving parts of our ML system. We will talk about different degrees of maturity in MLOps, the big picture of pipeline architectures, and the nitty-gritty details about why you don’t want to deploy your Jupyter notebooks to production. Also, we will explore weapons of choice for different parts of your ML system and common misconceptions about machine learning in production.

This Session belongs to the Diese Session gehört zum Programm vom MunichMunich program. Take me to the program of . Hier geht es zum Programm von Singapore Singapore .

This Session belongs to the Diese Session gehört zum Programm vom MunichMunich program. Take me to the program of . Hier geht es zum Programm von Berlin Berlin .

Take me to the full program of Zum vollständigen Programm von Munich Munich .

This Session Diese Session belongs to the gehört zum Programm von MunichMunich program. Take me to the current program of . Hier geht es zum aktuellen Programm von Singapore Singapore , Berlin Berlin or oder Munich Munich .

Behind the Tracks