Using AI to Eliminate Information Silos and Accelerate Government Efficiency

Federal agencies face a significant challenge in overcoming information silos, which can hinder their efficiency, accountability, and effective use of taxpayer dollars. These silos, driven by fragmented and outdated systems, misaligned priorities, and conflicting privacy regulations, limit programs’ ability to deliver timely and non-duplicative services. The executive order on eliminating information silos underscores the need to address these challenges and encourages greater momentum toward enhanced intra- and inter-agency coordination and data sharing to reduce waste, fraud, and abuse.

Approaches tailored to federal agencies' priorities that combine cutting-edge data linkage and AI-driven analysis can help break information silos. In the private sector, electronic health records are consolidated and analyzed to improve patient care, reduce redundancies, and detect fraud. Similar methods in the public sector can improve interoperability within and between agencies while prioritizing data security and privacy. By employing this approach and working collaboratively, federal agencies can address waste, fraud, and abuse while enhancing the efficiency and effectiveness of service delivery.