AWS Public Sector Blog

Category: Amazon Titan

AWS branded background design with text overlay that says "The transformative power of generative artificial intelligence for the public sector"

The transformative power of generative artificial intelligence for the public sector

Applications and user experiences are poised to be reinvented with generative artificial intelligence (AI), and the public sector is no exception. Governments, education institutions, nonprofits, and health systems must constantly adapt and innovate to meet the changing needs of their constituents, students, beneficiaries, and patients. If used responsibly, this powerful technology can open doors to endless possibilities to increase creativity, productivity, and progress.

AWS branded background design with text overlay that says "UC Davis Health Cloud Innovation Center, powered by AWS, uses generative AI to fight health misinformation"

UC Davis Health Cloud Innovation Center, powered by AWS, uses generative AI to fight health misinformation

The University of Pittsburgh, the University of Illinois Urbana-Champaign (UIUC), the University of California Davis Health Cloud Innovation Center (UCDH CIC)—powered by Amazon Web Services (AWS)—and the AWS Digital Innovation (DI) team have built a prototype that uses machine learning (ML) and generative artificial intelligence (AI) to transform the public health communications landscape by giving officials the tools they need to fight medical misinformation, disinformation, and malinformation.

AWS branded background with text overlay that says "Improve road safety by analyzing traffic patterns with no-code ML using Amazon SageMaker Canvas"

Improve road safety by analyzing traffic patterns with no-code ML using Amazon SageMaker Canvas

To improve safety and convenience, transportation agencies amass a substantial volume of data. However, these organizations encounter challenges in data accuracy validation due to issues related to data quality and occasional missing information. With the incorporation of new artificial intelligence and machine learning capabilities from Amazon Web Services (AWS), they can take advantage of no-code solutions to identify and address data gaps.