Federal managers are looking to harness the power of artificial intelligence and machine learning to derive actionable insights from data to improve mission delivery across government.  Before federal managers can develop AI/ML applications, they need good data and data practices. That’s why agencies must start their AI journey with a data first approach.  Many agencies struggle to establish a robust, integrated approach for using data to deliver on mission goals, serve customers, and steward resources. Leveraging automation is an essential first step in building a strong data layer.  Agencies need to automate processes to collect data from a variety of devices and systems, then automatically clean the data before building AI/ML models and algorithms that help derive value from data.

Federal decision makers are looking to deploy AI/ML to make positive changes in areas such as healthcare, natural disaster relief, citizen services and cybersecurity. For example, The Department of Transportation has built a machine-learning and data analytics-backed dashboard that helps its legal staff manage its vast field of regulatory data. 

Long-term investment in AI/ML research and development should focus on developing systems that display the flexibility and versatility of human intelligences, as well as improve the safety and security of AI/ML systems so that they operate in a controlled, well-defined manner.

Join us March 19th as leading federal chief data officers and AI/ML experts participate in a townhall discussion on how federal agencies can harness the power of automation and AI/ML to position data as a strategic asset that can be used to increase the effectiveness of government.