From Mindshare to Market Share: The Product Playbook for Edge AI

In this episode - Edge AI often struggles to scale because its platforms are frequently built by engineers for engineers, rather than product managers for users, leading to demos that don't convert to deployable products and systems optimized for evaluation instead of real-world jobs-to-be-done and scalable lifecycle management.... To unlock true potential, a fundamental product management mindset shift is crucial, focusing on the Job-to-Be-Done for users, designing for the entire lifecycle including OTA updates and total cost of ownership.., measuring activation (demo-to-deployment conversion), optimizing for Time-to-Value, segmenting the developer base, treating developer success as a Go-to-Market channel, and ensuring reliability in diverse environments. This shift from a "demo machine" to a "product" mindset is the missing enabler for Edge AI's widespread adoption and scaling