Today, vision models run everywhere. For ML Engineers who operate ML models in production this poses an interesting challenge - how do we monitor model, sensor, and data health on the edge? This talk will present an open source library that can be used to instrument ML inference at the edge and discuss how monitoring can be implemented for ML models deployed to a fleet of devices.
Alessya Visnjic
Alessya Visnjic is the CEO of WhyLabs, the AI Observability company building the interface between AI & human operators. Prior to WhyLabs, Alessya was a CTO-in-residence at the Allen Institute for AI, where she evaluated commercial potential for the latest AI research. Earlier, Alessya spent 9 years at Amazon leading ML adoption & tooling efforts. Alessya is also the founder of Rsqrd AI, a global community of 1,000+ AI practitioners who are making AI technology Robust & Responsible.