Tag: Machine Learning

Citizens are increasingly expecting government to provide modern digital experiences for conducting online transactions. Market research tells us 63 percent of consumers see personalization as the standard level of service. This post offers various architectural patterns for improving customer experience for the public sector for a wide range of use cases. The aim of the post is to help public sector organizations create customer experience solutions on the Amazon Web Services (AWS) Cloud using AWS artificial intelligence (AI) services and AWS purpose-built data analytics services.

The Natural History Museum in London is a world-class visitor attraction and a leading science research center. NHM and Amazon Web Services (AWS) have worked together to transform and accelerate scientific research by bringing together a broad range of UK biodiversity and environmental data types in one place for the first time. In this post, the first in a two-part series, we provide an overview of the NHM-AWS project and the potential research benefits.

Within the Food and Drug Administration’s Center for Drug Evaluation and Research, the Division of Medication Error Prevention and Analysis (DMEPA) plays a critical role. DMEPA reviews premarket and postmarket drug labeling to minimize the risk of medication errors. In partnership with DMEPA, Amazon Web Services (AWS) Partner ICF is developing a machine learning (ML) prototype known as the Computerized Labeling Assessment Tool (CLAT). The prototype employs innovative applications of optical character recognition (OCR) technology and the novel use of computer vision techniques that will alleviate bottlenecks in and enhance the efficiency of the drug labeling review process.

From check-in through departure to the airfield and then back through the baggage halls, technology can transform the experience of airport passengers, partners, and staff. The UK’s Manchester Airports Group (MAG), which runs Manchester, London Stansted, and East Midlands airports, invests in this transformation. Read this post to learn how MAG has created a technology and data strategy in collaboration with Amazon Web Services (AWS) to integrate the elements of its complex ecosystems and deliver efficiencies.

The Health Electrification and Telecommunications Alliance (HETA) is Power Africa’s initiative for health facility electrification and digital connectivity in sub-Saharan Africa. Power Africa is part of the United States Agency for International Development (USAID) and harnesses the collective resources of public and private sectors to expand electricity in sub-Saharan Africa. This post describes how AWS and HETA bring together governments, donors, technology providers, and health organizations to develop sustainable business models that can electrify and digitally connect healthcare infrastructure.

City Colleges of Chicago (CCC)—the largest community college system in Illinois and one of the largest in the nation—participates in two no-cost Amazon Web Services (AWS) initiatives to advance and develop undergraduate technical programs. The AWS Machine Learning University Educator Enablement Program (MLU EEP) and the Skills to Jobs Tech Alliance connect early career talent to in-demand technical jobs globally, including in Illinois. Read this post to learn more.

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.

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.

Access Partnership recently conducted a study commissioned by Amazon Web Services (AWS) on AI skills across various industries globally—including education. The study found that employers and employees in the education sector anticipate that AI utilization will improve productivity by more than one-third. Read this post to learn more about this finding, and others, and what it means for the education sector.

Last month, Amazon Web Services (AWS) hosted its fourth Gov2Gov event: Responsible AI Implementation at the Planet Word Museum in Washington, DC. The event convened senior public sector leaders and decision-makers from across the US Government (USG) to hear from White House officials and chief AI officers from federal government agencies. Read this blog post for a recap of the event and the main takeaways.