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Artificial intelligence trends across levels of government

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Innovative solutions to optimize service to constituents
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February 26, 2025
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  • Artificial intelligence
  • Data analytics
  • Generative AI
  • Machine learning
  • Predictive analytics
  • Data & digital services
  • Digital transformation
  • Government
  • State & local government

The adoption of artificial intelligence in various levels of government is rapidly gaining momentum as agencies seek innovative solutions to improve services, increase efficiency and better serve their communities. From automation to customer engagement, AI is becoming an essential tool for modern governance. Recent advances in generative AI have unlocked new possibilities for government workflows, driving both productivity and enhanced decision-making.

One of the most prominent trends is the use of generative AI for public-facing services. RSM’s data and AI team has delivered several innovative AI solutions tailored to critical government needs. Projects that have been developed and deployed for clients include:

Data science and machine learning in action

Beyond generative AI, governments are increasingly leveraging data science and machine learning (ML) to tackle complex societal issues. RSM has collaborated with government agencies to drive data-informed decision-making, enhancing public health, safety and financial stewardship. Key projects include:

With these use cases, governments can create meaningful change by applying data science and ML to critical challenges. These solutions empower governments to make data-driven decisions that improve outcomes and optimize operational efficiency.

Whether government entities are exploring ways to enhance public services, optimize operations or unlock new insights from their data, cutting-edge AI solutions and advanced analytics can deliver tailored, high-value outcomes.

Contact RSM’s data and AI team to learn more about potential opportunities and innovative solutions that could result in breakthrough results for your organization.

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