Natural language processing extracted meaningful findings from vast research collections in a fraction of the time and cost of manual analysis.
The National Science Foundation holds enormous collections of proposals, reports, and evaluation materials. Extracting insight from them by hand is slow, expensive, and inconsistent, limiting how quickly the institution can learn.
BCT applied natural language processing to analyze the corpus at scale, structuring and surfacing insights while preserving rigor, demonstrating how responsible AI can accelerate institutional learning.
Most organizations already hold the data PCM needs. Let's find out what it can tell you.