Myths and Reality of Android Machine Learning
Status: submitted
Section: Full talk (35/45 minutes)
Technical level: Beginner
Votes: +2
Your opinion is important to us! Rate this proposal
Abstract
Even among machine learning experts, we have encountered many myths about on-device machine learning. In this talk, Hoi will bust some of the myths with live demos and introduce best practices to get around the reality of building everyday Android ML use cases including barcode scanning, AR stickers and more. Also, some core Android functionalities might surprise you… in a good way.
Speaker bio
Hoi is the Head of Developer Relations for Android Machine Learning and also a sector executive for the Institution of Engineering and Technology (IET). He was part of the launch team for Wear OS by Google (previously, Android Wear), Chromecast, Google Glass Enterprise Edition, and the Google Beacon Platform.

Prior to Google, he founded Exahive to disrupt the mobile commerce market place. Hoi was an Equity Research VP at Deutsche Bank and Citigroup covering technology companies. Before banking, he was a product manager / application architect at Accenture.

Hoi holds a Master and Bachelor degree in Space Engineering from the University of Cambridge.