Businesses and organizations are accumulating new data faster than they are able to extract value from it. It’s obvious that data-driven decisions produce better outcomes; however, understanding the underlying patterns and relations in both structured and unstructured information is difficult. Knowing the right questions to ask, being able to make inferences, and understanding the results requires expertise and capabilities that are in short supply.
To capture value, data needs to be collected, processed and analyzed. Just as important – data must be visualized and communicated. All of this requires highly sophisticated processing, modeling and analytics capabilities. At PARC, our team of data scientists applies statistical analysis and machine learning on both big and small data to reveal insights, make predictions and provide decision support.
Our work is centered around a series of Focus Areas that we believe are the future of science and technology.
We’re continually developing new technologies, many of which are available for Commercialization.