Decision making in a dynamic environments requires the ability to obtain, process, and interpret continuous streams of data. Advances in electronics, connectivity, and network bandwidth have enabled the continuous streaming of data from scientific instruments, sensors, human interactions, and computer devices.

PNNL’s Analysis in Motion Initiative (AIM) has developed theories, architectures, and technologies that optimize the performance of humans and machines to collaboratively make time-critical decisions using continuous streaming data. AIM has transformed the analytics paradigm to create interactive streaming analytics at scale.