Michael R. Keller, Director, Systems Architect, Analytics Strategic Development, Rockwell Automation
Presenting: Applying Scalable Analytics to Industrial Automation
In recent years, analytics has emerged as a highly publicized and actively pursued area of applied technology. Much of the focus has been on big data and cloud level analytics used for everything from ecommerce to biomedical applications. Many of these solutions are focused on evaluation of large data sets over potentially long time periods.
One of the challenges in Industrial Automation and similar applications is that analytics solution is, in many cases, best suited to be executed in the production and process level machinery and not in the cloud. This presents several challenges: 1) how to provide a scalable execution platform that can perform analytic operations within control hardware, 2) how to configure, deploy and manage a scalable analytics capability and 3) what specific analytic capabilities make sense to perform at what levels within a layered control system architecture.
Michael Keller is a director-level Systems Architect with focus on Analytics at Rockwell Automation. Among other things, he is responsible for the architectural and system design aspects of the Rockwell Automation strategy to incorporate scalable analytics into industrial automation control systems. Michael refined and articulated the scalable analytics approach and is currently working with various development teams within Rockwell Automation to deliver customer-specific application solutions that utilize this approach.
Michael has held positions in field service, application engineering, software development and systems architecture at Rockwell Automation. He has also spent time as a product manager and as manager of a software development team. Michael was responsible for the creation, development and implementation of several software architectures and has contributed to the development of several major software products. In 2011 he was recognized as Rockwell Automation’s Engineer of the Year for his contribution.
Michael graduated from the University of Wisconsin in Madison in 1980 with a B.S.E.E. In 2000, he earned a master’s degree in computer science from UWM. He has written numerous technical papers on topics ranging from object-oriented and autonomous agent architectures used for device management and energy management systems to applications of Augmented Reality, Temporal Reasoning, Real Time Operating Systems and Haptic User Interface in the Industrial Automation environment. He holds patents for software architecture, mobile applications, control system device configuration and energy management.