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Machine Learning & AI [clear filter]
Wednesday, October 17

9:10am CDT

MA1: Android Things: Getting Started with Adding Intelligence to the Network Edge
Android Things, an Internet of Things (IoT) variant of Google’s Android operating system, facilitates the deployment of intelligence at the edge of IoT and sensor networks. It addresses the vexing challenge of managing and securing large numbers of deployed devices. Additionally, it seamlessly integrates with Google Cloud Platform and Google Cloud IoT. Of particular interest, SensorFlow, open source software that supports machine learning and computer vision applications, can easily be employed in Android Things devices.

avatar for Timothy Salo

Timothy Salo

President, Salo IT Solutions, Inc.
Timothy J. Salo is the founder and president of Salo IT Solutions, Inc. (SaloITS). He also a part-time lecturer, teaching undergraduate computer science courses. Mr. Salo has over three decades experience researching, designing, developing, marketing, deploying and operating data... Read More →

Wednesday October 17, 2018 9:10am - 10:00am CDT
Theater 2

10:10am CDT

MA2: How Modern Technology Makes Human Workers as Efficient as Robots
This session discusses recent advances in Computer Vision, Machine Learning, and Edge Computing. Marc introduces the technologies, their capabilities, and their benefits. He then highlights a selection of successful implementations of these technologies, and the corresponding business results. Finally, Marc discusses recent advances in IFM's Intelligent Perception Systems, and how his company is commercializing the onetrack.ai product series.

avatar for Marc Gyongyosi

Marc Gyongyosi

Founder & CEO, Intelligent Flying Machines

Wednesday October 17, 2018 10:10am - 11:00am CDT
Theater 2

11:10am CDT

MA3: Machine Learning in the Fog for Industrial IoT
Industrial IoT systems often have legacy sensors, harsh environments, and limited communication bandwidth. Fog processing refers to on-premise processing of data prior to sending up to the cloud. Proximity to the data, centralization, and low latency communication often makes the Fog an advantageous location for localized Machine Learning. This session discusses IoT projects where Fog based processing has been used. The challenges, benefits, and best practices learned along the way are the primary focus.

avatar for Ed Kuzemchak

Ed Kuzemchak

CTO & Director of IoT & Embedded Engineering, Software Design Solutions
Ed Kuzemchak is the Chief Technology Officer and Director of IoT and Embedded Systems Engineering at Software Design Solutions, which is an Applied Visions company. Ed founded Software Design Solutions in 2003, focusing the company on embedded systems, machine-too-machine, and IoT... Read More →

Wednesday October 17, 2018 11:10am - 12:00pm CDT
Theater 2