Brad Klenz is Principal IoT Analytics Architect at SAS. His responsibilities include the design and integration of analytics required by SAS’ IoT solutions. His recent projects include the use of machine learning for energy and operational efficiency in smart building environments, and real-time streaming analytics for event identification on the power grid. He is a patent holder for streaming analytics methods for event classification in IoT. He has contributed to research at NSF Engineering Research Centers at NC State University – the FREEDM center (power grid modernization) and the ASSIST center (nanotechnology healthcare wearables).

Brad has presented at a number of industry conferences, including SAS Global Forum, IEEE Power & Engineering Society (PES), North American SynchroPhasor Initiative (NASPI), INFORMS Analytics, and Smart Cities Connect. He is a member of the Industrial Internet Consortium (IIC) and active in the Industrial Artificial Intelligence task group and the Testbed work group. He also participates in RIoT, a start-up oriented IoT group.

Brad’s previous work includes analytics for digital marketing, such as marketing attribution, recommendation systems, and customer retention. He received a Bachelor of Science in Computer Science, with emphasis on numerical processing and economics, from North Carolina State University.