*** Registration for the June meetup is closed at this time. Please join us at our July meetup by registering here: https://exchange.scale.com/home/events/ai-and-ml-meetup-2022-07-28
Join Scale AI at their San Francisco Headquarters for their monthly ML & AI Meetup. This event will bring together a group of practitioners and engineers within the AI & ML communities for an in-person Tech Talk, followed by the opportunity to network and exchange ideas on continued advancements and the future of AI. The event is free to attend. Drinks and a light meal will be provided.
Towards Observability for Machine Learning Pipelines
Software organizations are increasingly incorporating machine learning (ML) into their product offerings, driving a need for new data management tools. Many of these tools facilitate the initial development of ML applications, but sustaining these applications post-deployment is difficult due to lack of real-time feedback (i.e., labels) for predictions and silent failures that could occur at any stage, or component, of the ML pipeline (e.g., data distribution shift). We propose a new type of data management system that offers end-to-end observability, or visibility into complex system behavior, for ML pipelines through assisted (1) detection, (2) diagnosis, and (3) reaction to ML-related bugs. We describe new research challenges and suggest preliminary solution ideas in all three aspects. Finally, we introduce an example architecture for a “bolt-on” ML observability system, or one that wraps around existing tools in the stack.
To attend the event, please RSVP via this registration page.
To gain access to the building, all attendees must sign-in upon arrival, sign an NDA, and provide proof of full vaccination and booster status.