Talk / Overview

In this session we'll introduce the concepts of ML at the edge and how to design/build ML@Edge solutions for many business challenges in manufacturing, energy, healthcare, etc. Also, let's use a reference architecture and a quick demo to illustrate how customers are adopting ML@Edge.

Talk / Speakers

Samir Araújo de Souza

AI/ML Solutions Architect @ AWS

Talk / Slides

Download the slides for this talk.Download ( PDF, 5678.04 MB)

Talk / Highlights

Solving Complex Business Challenges with Machine Learning at the Edge

With Samir Araújo de SouzaPublished April 27, 2022

AMLD / Global partners