The Future of NLP in Government Systems: How Users Will Work, Think, and Decide in the Next Decade
Government agencies are entering a new era of information management. The volume, complexity, and velocity of documents continue to grow...
Government agencies are entering a new era of information management. The volume, complexity, and velocity of documents continue to grow...
When you operate a national‑scale NLP system that processes 20M+ pages per day of sensitive medical and legal information, security...
When people hear that we process 20M+ pages per day, support 20,000+ users, and render documents that exceed 10,000 pages,...
Running an NLP system at national scale isn’t just about throughput or clever architecture. It’s about visibility. It’s about knowing...
In earlier articles, we covered how structured data, modeling, and retrieval work together to produce grounded, citation‑rich summaries. This article...
In the previous article, we explored Decision Support — the stage where structured data, modeling, and LLM‑based summarization converge. This...
In the previous article, we focused on cTAKES and the engineering work required to make clinical NLP viable on large,...
This piece is a focused, technical deep dive on how we adapted and optimized cTAKES for national deployments. It covers...
A technical overview of the architecture, engineering choices, and operational controls that make a nationally deployed medical evidence system reliable,...
How Modern AI Is Transforming Medical Evidence Review for Millions of Americans Across the United States, millions of people depend...
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