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Data Modeling and Analytics

Rigorous data gathering and analysis methods

Many sources—including sensors, log files, databases, and qualitative means—are producing data at previously unimaginable scales and in unprecedented detail. The volume of data has outpaced the existing ability, in government and elsewhere, to use that data to make decisions, enable system adaptation, and generate input to train machine learning (ML) algorithms.

We apply cutting-edge techniques from academic and commercial data analytics innovation, often through collaboration with experts at Carnegie Mellon University. We develop ML algorithms and train them by mining the ground-truth data sets that we curate as an FFRDC. In that way, we tailor those technologies for the benefit of the U.S. Department of Defense, supporting our work in software cost estimation and control, human-machine teaming, autonomy and counter-autonomy, and system verification and validation.

History of Innovation at the SEI in Data Modeling and Analytics

The SEI has performed innovative research in data modeling and analytics for almost 30 years that has benefited government, industry, and academia. Learn more about a few of the highlights.