Put open source to work
July 16–17, 2018: Training & Tutorials
July 18–19, 2018: Conference
Portland, OR
Matt Ellis

Matt Ellis
Senior Product Manager and Head of Open Source Software, TIBCO Software


Matt Ellis is a senior product manager and head of open source software at TIBCO Software, where he focuses on product and strategy around open source and Project Flogo, an open source edge microservices framework built entirely in Go. As of late, Matt has spent his time focusing on two key technical shifts: machine learning and serverless compute. Matt has brought many technical achievements to the Golang open source community in areas related to edge machine learning with TensorFlow and serverless compute constructs in Golang with AWS Lambda. Matt has been involved in the tech industry for over two decades and has held a number of roles. Early in his career, he developed 3D rendering engines in both OpenGL and Direct3D and authored a number of technical manuals and books on the topic. During an independent consulting opportunity in Brazil, Matt authored two additional books focusing on RESTful services and APIs.


1:45pm2:25pm Thursday, July 19, 2018
Edge computing, TensorFlow
Location: E146
Tags: tensorflow
Level: Intermediate
Matt Ellis (TIBCO Software), Rei Kurokawa (Hitachi High-Tech Solutions)
Average rating: *****
(5.00, 1 rating)
By the year 2020, the world will have an estimated 20 billion IoT devices. Storing, processing, reasoning with, and extracting business value out of this data will require huge computational and financial resources. Matt Ellis and Rei Kurokawa share an approach that uses TensorFlow and Project Flogo to make predictions directly on edge devices without depending on cloud computing. Read more.