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title: 'New Video! 🎥 Reimagining DevOps for Machine Learning' | ||
date: 2020-03-31 | ||
description: | | ||
A talk about CI/CD with fuzzy animals. | ||
descriptionLong: | | ||
As machine learning matures, we need to find better ways to | ||
integrate data science with software development. In this talk | ||
for DivOps, a conference about the future of DevOps, DVC data | ||
scientist Elle O'Brien discusses how CI/CD can adapt to | ||
machine learning. This is MLOps, explained with fuzzy animals. | ||
picture: ../../static/uploads/images/2020-03-31/cover_image.png | ||
author: ../authors/elle_obrien.md | ||
commentsUrl: https://discuss.dvc.org/t/new-video-reimagining-devops-for-machine-learning/341 | ||
tags: | ||
- CI/CD | ||
- DevOps | ||
- MLOps | ||
--- | ||
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Last week, DVC was part of [DivOps](https://divops.org/), a fully remote | ||
conference led by women in DevOps. DevOps, to the newly anointed, is a | ||
discipline bringing together strong software engineering practices with speedy | ||
development cycles. As machine learning is finding its way into just about | ||
_every_ area of research and development, we're going to need to come up with | ||
some conventions and tools for integrating machine learning and big data with | ||
software development. This growing field is called | ||
[MLOps](https://towardsdatascience.com/the-rise-of-the-term-mlops-3b14d5bd1bdb). | ||
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I gave a lightning talk about how we'll have to rethink our software development | ||
practices in the age of machine learning. It's got a focus on | ||
[CI/CD](https://martinfowler.com/articles/cd4ml.html), a way of structuring | ||
workflows that we think can streamline exchanges between data scientists and | ||
software engineers. And, it's got fuzzy animals. Check it out here: | ||
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https://youtu.be/0MDrZpO_7Q4 | ||
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If you liked this, you'll also want to check out the next talk in the DivOps | ||
playlist by | ||
[Anna Petrovicheva](https://www.linkedin.com/in/anna-petrovicheva-44b24673/), | ||
Founder and CEO of Xperience AI. Anna's talk goes deeper into developing best | ||
practices for software engineering with deep learning. | ||
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https://youtu.be/8nwpCQufeE0 | ||
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All the talks from DivOps are | ||
[available online now](https://www.youtube.com/playlist?list=PLVeJCYrrCemgbA1cWYn3qzdgba20xJS8V), | ||
so please check out the YouTube channel. And stay tuned on our blog for more | ||
CI/CD discussions coming soon... |
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