Why it matters
Edge and robotics AI workloads have different cost constraints than chat agents — Gal Tamir's fulfillment-network talk is a case study in running AI-Ops at scale where inference cost hits operational throughput directly.
The tokenmaxxing angle
Robotic fulfillment AI-Ops and ambient home AI devices both need cheap, low-latency edge inference, making model routing and cost-per-inference decisions as central as they are for cloud LLM agents.
From the organizers
Confirmed speakers: Gal Tamir, Ph.D. (Senior Manager, Amazon) on AI-Ops for robotic fulfillment networks, and James Pratt (Co-Founder & CEO, Fyve Health) on ambient AI devices; sponsored by Beckhoff Automation.