Federal healthcare systems are drowning in documentation, with individual cases often spanning tens of thousands of pages that analysts must manually review to extract critical information. In his latest whitepaper, David Zimmerman, Director of AI Engineering at Empower AI, reveals how artificial intelligence is revolutionizing this time-consuming process. Zimmerman demonstrates how AI-powered analysis tools are already delivering remarkable efficiency gains while maintaining the precision and accuracy that healthcare decisions demand.

In her comprehensive analysis for GovLoop, Empower AI's ML Engineer Himaja Ginkala explores how Retrieval-Augmented Generation (RAG) is transforming the way federal agencies handle complex information challenges. Ginkala details how government professionals are moving beyond slow, manual document searches to leverage AI systems that combine large language models with intelligent retrieval capabilities. This powerful approach enables agencies to get instant, accurate answers from vast documentation systems while maintaining the citation transparency and traceability that mission-critical environments demand.

Federal agencies have made great progress in embracing artificial intelligence (AI) to fulfill their core missions of national security and citizen service. As AI redefines how work gets done and helps users push past boundaries to achieve extraordinary results, agencies will have a leading role in fostering responsible growth of the technology. Click below to download a snapshot about AI in federal agencies and how Empower AI supports it.