Category: Industries

Healthcare organizations invest heavily in technology and data. Generative artificial intelligence (AI) empowers healthcare organizations to leverage their investments in robust data foundations, improve patient experience through innovative interactive technologies, boost productivity to help address workforce challenges, and drive new insights to accelerate research. This post highlights three examples of how generative AI on Amazon Web Services (AWS) is being used in healthcare and discusses ways to leverage this technology in a responsible, safe way.

ASTERRA, an Israel-based geospatial and Earth observation company, uses Amazon Web Services (AWS) to help water utilities and a number of industries identify and mitigate pipeline leaks. ASTERRA uses AWS to derive intelligence and insights from beneath the surface of their largest installations and to bypass the need to break ground and dig for leaks. Read this post to learn how AWS has helped ASTERRA overcome traditional on-premises infrastructure limitations and to accelerate the development of solutions for anticipating and mitigating failures, saving water, energy, and avoiding carbon dioxide (CO2) emissions as a result.

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.

The Amazon Web Services (AWS) Open Data Sponsorship Program makes high-value, cloud-optimized datasets publicly available on AWS. Through this program, customers are making more than 100 petabytes (PB) of high-value, cloud-optimized data available for public use. Read this blog post to learn about the 34 new or updated datasets that were released in the first quarter.

On February 22, 2024, Amazon Web Services (AWS) hosted its first Federal Financial Services Artificial Intelligence (AI) Forum at Amazon HQ2 in Arlington, Virginia, convening leaders from the public sector and financial services industry. Read this blog post for a recap of the event, which covered the tremendous opportunities and challenges around AI with experts across public and private sector organizations.

Access Partnership recently conducted a study commissioned by Amazon Web Services (AWS) on artificial intelligence (AI) skills across various industries globally. The results underscored the need to address low rates of AI fluency among healthcare leaders and employees, and this blog post provides a summary and analysis of the study’s key findings.

Credit unions face unique security, regulatory, and compliance obligations. These requirements mean that a sound cybersecurity posture is essential for credit unions across both cloud workloads and on-premises technology. Read this blog post to learn how Amazon Web Services (AWS) can help credit unions prepare for audits, assess security posture, and produce documentation for state or federal regulators.

Each year, Amazon Web Services (AWS) awards IMAGINE Grants to nonprofit organizations using cloud technology to drive mission-critical impact for their beneficiaries. Learn more about the IMAGINE Grant program and this year’s winners, who were announced today at our re:Invent 2023 conference.

Through the work of Covered California, the state’s health insurance marketplace, the percentage of uninsured Californians is at a record-low 6.5 percent. Read this blog post to learn how Covered California achieved increased insurance coverage statewide through its innovative use of Amazon Web Services (AWS).

This quarter, AWS released 34 new or updated datasets on the Register of Open Data. What will you build with these datasets? Read through this blog post for inspiration.