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👋🏼 Join us at the May ML Engineering Office Hours Meetup where we will have Matt Squire of Fuzzy Labs join us sharing his view on open source MLOps tools. Matt breaks down the toolspace into categories of SaaS platforms, fully open source, and partly open source tools. He describes how they define open source and why they think open source is the best choice in the MLOps space, which includes its trait of being flexible, ownable, cost-effective, and agile.

Come join us and bring your thoughts, and ideas, and join the discussion!

After Matt's discussion, you will see a demo of our latest addition to our open-source tool ecosystem. We look forward to your feedback!

📣 Note!
These Office Hours Meetups are not Webinars! They are designed to be and encourage interaction in our open-source Community! We want to build discussions between people that are grappling with a lot of tough problems at this intersection of machine learning and developer ops. But don't worry, you are free to come and kick the tires incognito. 😉

While we have presenters that share their workflows with our tools at these meetings, we encourage you to have your video on, unmute your mic and participate in the conversation! We're all friends here! You will likely be able to meet people trying to solve similar problems to you and gain different perspectives!

So bring any questions you have for the speakers and our team.
We are excited to hear and answer them!

❓As always, if you have any use case questions or need support in the meantime, join us on Discord 👉🏽 https://discord.gg/j9tgb8NZUh

💡 Or head to the DVC Forum 👉🏽 https://discuss.dvc.org/ to discuss your ideas and best practices.

💌 Join our newsletter to keep up to date with feature releases of our open source tools and happenings in the Community 👉🏽 https://dvc.org/#subscribe

🧑🏽‍💻 Join our online course 👉🏽https://learn.iterative.ai

And, you can follow us on:

Twitter: https://twitter.com/dvcorg
LinkedIn: https://www.linkedin.com/company/iterative-ai

Looking forward to seeing you at the event!
We will post the online link to the event the day before!

AI/ML
Machine Learning In Cloud
Open Source
Software Development
DevOps

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