What we’re about
What's happening Stockholm. We are firing up a local MLOps chapter for this amazing city!
The MLOps Community fills the need to share real-world Machine Learning Operations best practices from engineers in the field. While MLOps shares a lot of ground with DevOps, the differences are as big as the similarities. We needed a community laser-focused on solving the unique challenges we deal with every day building production ML pipelines.
We’re in this together. Come learn with us in a community open to everyone. Share knowledge. Ask questions. Get answers.
You can check out our Slack or our podcast that’s filled with tips and tricks to overcoming the common obstacles we’ve all hit in the real world. Find the solutions you need. Share, learn, and grow with us, as we work to bring standardization to the chaotic world of MLOps
Upcoming events (1)
See all- Medical Assistants, Coding Agents and other uses of AIHiQ, Stockholm
All right!!!
Our next meetup will take place September 18 at HiQ's offices at Katarinavägen 15 in Stockholm. HiQ will also be our sponsor this time.
The program is being finalized, so stay tuned for updates!
We will more or less stick to our standard format of three 20min presentations followed by a pizza break and then a moderated Q&A.
Event Program
- Doors open at 17:00 CET
- Talks begin at 17:45 CET
- There will be light food & drinks
- The moderated Q&A session will kick off around 19:30 CET.
Speaker Line-Up is under construction. Stay tuned for further additions.
-
Arthur Öhman, MSc student in Machine Learning at KTH and Trainee at HiQ will give a talk titled ”From Audio to Notes: Real-Time Drum Transcription with ML”. Abstract on its way...
-
Markus Saers, AI Developer at HiQ will give a talk titled "AI@AF" where he will give a peek into how a government agency such as the Swedish Public Employment Service, where he is currently deployed, can leverage the power of AI.
-
Alexander Gusev, Founding Engineer at Natively dev will give a talk titled "Autonomous Code Generation leveraging AI". Abstract: With AI, we can now generate code that meets certain goals. How can we generate larger and larger amounts of code that not only suggests minor edits, but rather generates, for example, entire apps based on limited information, apps that need to meet certain criteria regarding functionality and appearance? How does such an agent work in practice? Where are we today and where will we be in a year with autonomous code generation? Natively dev lets you create mobile apps by prompting. You just say what you want and get the app coded in front of you in minutes.
-
Oliver Åstrand, CTO & Co-Founder, Tandem Health. Topic tbd...
/Patrick
-
