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AI for Civilian Services

AI Is Everywhere, Everyday

AI is all around us—streamlining processes, turning data into insights, and improving mission focus across the federal civilian enterprise. Here are a few examples.

  • Civil Agency Enterprise IT OperationsÌý
    AI can fundamentally enhance how organizations execute IT operations by providing intelligent automation. Intelligent automation improves infrastructure management by generating insights into resource allocation, capacity planning, workload optimization, and error resolution. This enhanced visibility increases situational awareness by predicting and mitigating bottlenecks or failures and accelerating troubleshooting. AI Ops can be leveraged to process large volumes of information in timeframes not achievable by humans—for example, triaging large numbers of alerts that come in from various systems to triangulate issues that will lead to much larger impacts. AI Ops can help with the scale factor for large enterprises and lead to faster response time to customers by automating routine processes/requests as well as greater availability of systems through quicker reactions to issues/alerts.
  • Healthcare
    Healthcare applications of AIÌýcontinue to expand. While navigating medical jargon to find helpful information can be overwhelming, cognitive solutions that leverage AI and natural language processing can streamline access to information. In addition, deep learning and neural networks can help reduce the cost of hospital readmission through the identification of patients at risk for complications and predicting adverse events. AI can also help public health experts model the spread of the opioid epidemic, foodborne illness outbreaks, and infectious disease pandemics; identify at-risk populations; and mitigate risks to public health and national security.Ìý
  • Homeland Security and Law Enforcement
    With AI and machine learning tools, including crime analytics, homeland security and law enforcement operators can stay ahead of adversaries and disruptions. Computer vision models detect hard-to-find anomalies via people and package scanning while text mining and natural language processing algorithms help investigators break up human smuggling and drug trafficking rings.
  • Aviation and Transportation
    To meet aviation and transportation challenges, agencies can harness AI tools to better analyze data, improve operational efficiency, enhance safety, and uncover potential unknowns. From predicting maintenance for complex, aging infrastructure to improving fuel efficiency and preventing vehicle loss-of-control events, AI can help provide predictability and efficiency benefits throughout the systems that agencies use to move people and goods.

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