Iryna Kondrashchenko
Iryna is a data scientist and co-founder of DataForce Solutions GmbH. At DataForce, the team is building LUML, an open-source, end-to-end AIOps platform that lets teams track experiments, version models, deploy, and monitor—all in one place.
Session
What if you could run real data/ML workflows right in your browsers - sandboxed, with no installation or sending your data anywhere? Such an approach would have tons of benefits: it is easy to distribute, safer by default, and can scale almost infinitely with virtually no infrastructure costs.
This talk is a pragmatic overview of the current in-browser ML stack. We’ll cover what workflows are realistic today (from training of traditional ML models to on-device LLM inference), how packaging/loading works, and the constraints one should be aware of. By the end of the talk you will have a clear sense of when in-browser ML is a good fit, and when it isn’t.