Session Abstract

Join this session to see how you can run ML models on edge devices. Including - creating Tensorflow Lite models in the cloud or on the device, running inference on devices with Coral ARM platform and the Google EdgeTPU ML accelerator, and thoughts on managing the edge ML model lifecycle

Session Speakers

Markku Lepisto

Head of IoT/ML Solutions, APAC, Google Cloud

Markku is a Cloud Solutions Architect at Google. He has worked in cloud computing for the past 10 years. Before joining Google, Markku led the cloud architecture of Nokia Siemens Networks’ global business units, and covered APAC as a technology evangelist at Amazon Web Services. He works out of Tokyo, and helps developers and customers across APAC understand how to best use and architect solutions for Google Cloud. Markku is the IoT/ML solutions lead for APAC for Google Cloud.

Tamas Daranyi

Product Manager, Google

Tamas is a product manager for Google's Cloud AI and IoT products with a special interest on edge solutions.