Explore market opportunities for edge machine learning in this 51-minute conference talk from the tinyML Summit 2021. Gain insights from industry experts Michael Azoff, Lee Carter, and Zach Shelby as they discuss growth prospects, future projections, and promising technologies in the Edge AI field. Delve into topics such as defining the edge, business trends, industrial applications, smart buildings, IoT vs tinyML, market size, system value, edge vs cloud ML, and the vision for Edge AI. Learn about the Linux Foundation Edge initiative, ease of use considerations, and the impact of digitalization and privacy concerns on the future of AI at the edge.
Overview
Syllabus
Introduction
How to define the edge
Edge AI business trends
Linux Foundation Edge
Industrial Applications
Smart Buildings
IoT vs tinyML
Market size
System value
Edge vs Cloud
ML for Industrial Systems
Vision for Edge AI
Ease of Use
Audience Question
Who wants to start
Digitalisation
Privacy
Future of AI
Taught by
tinyML
