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Data Centricity and Edge Decision Management: The IIoT Architecture for Intelligent Transportation Systems
In today’s era of connected everything, intelligent transportation systems are poised to change how people live. Real-time information on traffic, road conditions, parking availability and more help to reduce congestion and create safer, more efficient commuting.

These data-driven connected systems create petabytes of data that must be rapidly processed and reacted to, in order to enable smarter decision making at the edge.

Intelligent transportation requires a distributed architecture which eliminates single points of failure and ensures highly-reliable automation at or near locations and events of interest. The architecture must enable a robust bi-directional data flow of information from IoT sensors to targeted recipients. Architecting your system based on a framework created for autonomous systems will address these challenges as well as reduce risk and provide a faster path to safety certification.

Join technical experts from RTI and Phizzle for a live demonstration and to learn:
- Current challenges for intelligent transportation systems
- How a distributed approach using a databus for data in motion addresses the real-world challenges of autonomous vehicles and Integrated Corridor Management
- Best practices in managing extreme data volume with an intelligent connectivity framework for edge computing
- How to bridge the cloud-to-edge continuum for intelligent transportation systems.

Dec 13, 2018 11:00 AM in Pacific Time (US and Canada)

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Mark Carrier
Market Development Director, Oil and Gas @RTI
Mark Carrier is the Market Development Director for Oil and Gas at RTI. He brings over 12 years of experience in upstream and downstream Oil and Gas and a passion for building and designing federated distributed systems. Prior to joining RTI, he was the Chief System Architect and Technical Manager for National Oilwell Varco and the System Architect of the Energy Drilling Automation Platform for Ensign. He was also a key contributor to ION Geophysical's 80,000 channel count seismic recorder which, at the time was the largest recorder built. Mark graduated from the Indiana University of Pennsylvania with a BS in Computer Science.
Ryan Brady
VP of Engineering @Phizzle
Ryan Brady has been with Phizzle since 2013 and is the VP of Engineering. His ability to architect and build backend systems that make IoT work for real-time engagement while leading the company’s technical vision brought him to his current position. Previous experience includes working closely with industry experts in the litigation world by creating advanced data visualizations. As a trial consultant, working closely with experts in the medical, transportation, oil & gas, technology and structural engineering industries, Ryan helped attorneys win verdicts in the hundreds of millions of dollars. Using many of the same tools he created to automate the visualization of large amounts of data in real time, Ryan brought his expertise to the SaaS industry and helped transition Phizzle’s technology into an edge computing solution.
Michael Patrick
SVP of Technology @Phizzle
Michael Patrick has been with Phizzle since 2008 and is the SVP of Technology. Michael developed the Edge engine, a high-performance small footprint application that is one of the core components of Phizzle’s IoT offering. After earning his BSEE he worked at an Air Force research lab both developing software and managing contracts for various air defense systems. Michael transitioned to the private sector and worked on developing high-performance video processing software and hardware for projects including the International Space Station, Terminal High Altitude Area Defense (THAAD), and various military IR camera systems. Prior to joining Phizzle, Michael developed high-performance systems as a consultant to customers such as L3, BAE Systems, Motorola and many more.