American Journal of Computer Science and Information Technology

The next wave of industrial productivity: how GE is leveraging robotics and AI to impact the industrial world

EuroSciCon Conference & Expo on Robotics, Automation & Data Analytics
April 08-09, 2019 | Paris, France

John Lizzi

GE Global Research, USA

ScientificTracks Abstracts: Am J Compt Sci Inform Technol

Abstract

Transformational innovations make for transformational times. Advancements in automation, robotics and autonomous systems technologies, coupled with pervasive communication and advanced AI, make it possible for businesses to operate in wholly new ways to drive down costs, optimize performance and generate new sources of revenue. For researchers and solution providers involved in the automation, robotics and intelligent systems domains, the opportunity landscape is equally vast and compelling. However, as with any class of nascent technology, players across the ecosystem, from academia to industry, are challenged to navigate the space amidst rapid business change, continuous technological churn, and much uncertainty. In this farsighted session, the author, Executive Director of Robotics and Autonomous Systems, GE Global Research, will give an overview of the work; he and his team are doing to drive a new wave of industrial productivity across a vast array of industries that GE serves. The author will walk through a number of applications of robotics, advanced vision, and AI ranging from laboratory research and prototypes to deployed products and services.

Biography

John Lizzi is the Executive Director, Robotics and Autonomous Systems at GE’s Global Research Center where he leads the vision, strategy, and technical execution in robotics and autonomy. He and his team work across GE’s industrial portfolio to drive robotics and autonomy across field, manufacturing, and healthcare domains. He sits on the Board of Directors of the robotic industries association, chairs the A3 committee on AI, and sits on the technical advisory committee of the Advanced Robotics for Manufacturing Institute. Over the past 18 years, he has held a number of technical program and leadership roles working closely with GE’s business units and strategic partners. He attended Rensselaer Polytechnic Institute, graduating with an MS degree in computer and systems engineering after graduating with a BS Computer Science from Siena College. He also holds an MBA from the State University of New York at Albany. He currently holds 12 patents.

E-mail: lizzi@ge.com