IEEE Speaker: Delivering Real Time Monitoring of Industrial Machines using AWS IoT Services
6:00pm - 9:00pm
Engineering & Computer Science, Room 410, Classroom
Open to the DU Community free of charge.
Denver IEEE Computer Society Guest Lecturer, Dr. Stephan Gerali, Chief Software Architect and Engineer, Lockheed Martin Fellow. Dr. Gerali has his B.S., M.S. and Ph.D. in Computer Science from the University of Colorado and his MBA from Colorado State University. Stephan is certified in Java, BEA WebLogic, Six Sigma and Secure Software Engineering. Dr. Gerali is a Lockheed Martin Fellow specializing in Software Architecture / Software Engineering with more than 22 years of experience working on large-scale distributed systems. Stephan is currently the Chief Architect for Space IT supporting solutions across the entire Space business area.
Within Lockheed Martin, Stephan has supported IS&GS (Information Systems & Global Solutions) in Army (All Source Analysis System and Future Combat System), USSTRATCOM (Strategic Threat Analysis Reporting System) and Air Force (Single Integrated Space Picture) command and control systems and within EIT (Enterprise IT) has supported LMPeople, LMCareers, Performance Based Logistics, University Relations Recruiter’s Network, Center for Leadership Excellence, Non-Employee Access Tracking, Infrastructure Health Management, Event Correlation & Analysis, Enterprise Data Warehouse / Business Intelligence and Digital Tapestry.
Presentation: Delivering Real Time Monitoring of Industrial Machines using AWS IoT Services
Abstract: We will learn how information technology may be teamed up with Amazon Web Services (AWS) to deliver an integrated Internet of Things (IoT) solution for data capture, data transformation, data storage, data analytics and data visualization for real time monitoring of industrial machines used in the IoT manufacturing process. This presentation will cover the deployment of a full IoT solution to include: Kepware ServerEX for connectivity to industrial protocols, AWS IoT Core for IoT data processing, Amazon S3 for scalable storage of IoT data, MTConnect for a common data model for industrial machine telemetry data, Amazon EMR for interactive analytics on IoT data, Tableau for visualization of IoT data and SIAT for automated anomaly detection for industrial telemetry data. In addition, we will summarize the future roadmap for other AWS IoT Services. Please join us for a great presenter and presentation on information technology, Amazon Web Services (AWS), and integrated Internet of Things (IoT) solutions and integration.
Questions contact James Gowans at [email protected]