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:
- Predicting adverse health events: In collaboration with a U.S. state’s health department, RSM’s data science team is using ML models to predict adverse health events within the population. By analyzing historical health data and social determinants, these models can identify at-risk individuals and help public health officials intervene early, improving health outcomes and reducing health-care costs.
- Budget performance and criminal justice analysis: RSM has also worked with a U.S. governor’s office to analyze data related to budget performance measures, helping the administration make informed decisions across various sectors. This includes using advanced analytics to evaluate criminal justice data, assessing trends in incarceration rates, recidivism and program effectiveness. These insights enable leaders to allocate resources more effectively and report on key performance indicators to stakeholders.
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.