Join Mark Jamtgaard, Director of Technology at RetailNext, and Sally Ward-Foxton, Senior Reporter for EE Times, in a live onstage interview focusing on how to evaluate and select processors for edge AI and computer vision products when the goal is to ship reliable systems—not win benchmarks. We’ll dig into why model zoo numbers often fail to predict end-to-end performance and how data movement and image pipeline details (sensor interfaces, ISP quality, format conversion) become the real bottlenecks. We’ll discuss how to judge software stack maturity—compilers, runtimes, operator coverage, profiling and debugging—and what “kill criteria” should prompt us to stop wasting engineering time early. We’ll also discuss accuracy retention under quantization and optimization, determinism challenges and sustained performance under thermal constraints. Finally, we’ll explore fleet realities: observability, over-the-air (OTA) updates, remote debugging, life-cycle support and total cost of ownership. Attendees will leave with a concrete checklist of questions that de-risk processor selection decisions.