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1
Introduction
2
How to define the edge
3
Edge AI business trends
4
Linux Foundation Edge
5
Industrial Applications
6
Smart Buildings
7
IoT vs tinyML
8
Market size
9
System value
10
Edge vs Cloud
11
ML for Industrial Systems
12
Vision for Edge AI
13
Ease of Use
14
Audience Question
15
Who wants to start
16
Digitalisation
17
Privacy
18
Future of AI
Description:
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.

Market Opportunities for Edge AI

tinyML
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