Tag: AI

In this post, we explore an innovative solution—developed by Booz Allen, an HAQM Web Services (AWS) Premier Services Partner—that uses HAQM Bedrock-powered generative artificial intelligence (AI) to enhance the decision-making process for system changes.

In today’s complex procurement landscape, creating comprehensive and accurate statements of work scopes can present a challenge for university procurement teams. To address this growing challenge, the Digital Transformation Hub (DxHub) at Cal Poly—powered by HAQM Web Services (AWS) and part of the AWS Cloud Innovation Centers (CIC) program—took action. The DxHub collaborated with the university’s Strategic Business Services department to create “Scope Builder,” a generative AI-powered application that aims to revolutionize how procurement specialists develop work scopes for university requests for proposals (RFPs) and contracts.

PointHealth AI, a healthcare technology (HealthTech) startup, and Protege, a data innovator specializing in artificial intelligence (AI)-ready datasets, are working with HAQM Web Services (AWS) to combine de-identified demographic and clinical information from millions of patient records, in order to deliver more precise and informed treatment recommendations. This data-informed strategy aims to give doctors the information they need to prescribe the right care for a patient’s unique needs—on the first try.

Learn how HubbleIQ uses generative AI on AWS to enhance its autonomous IT support services and democratize connectivity in a digital world.

TribalNet is an industry group that connects IT leaders, executives, and technology vendors at Native American tribes and tribal enterprises. Founded in 1999, the organization’s mission is Bringing Technology and Tribes Together. AWS fully supports TribalNet and its mission.

The Wharton School of the University of Pennsylvania has been at the forefront of business innovation for over 140 years. Recently, Wharton found an opportunity to use generative AI to enhance their students’ learning experience. With support from HAQM Web Services (AWS), Wharton will roll out a virtual teaching assistant (TA) in the autumn of 2024, powered by generative AI, to answer students’ specific course-related questions in real time.

In the fifth episode of the AWS Behind the Cloud vodcast series, host Sarah Storelli interviews Valerie Singer, general manager of global education at HAQM Web Services (AWS). Watch and listen to learn more about Singer’s journey and discover her insights on how generative artificial intelligence (AI) plays a pivotal role in education around the world.

Healthcare organizations across the nation are working to address clinician burnout and are more constrained than ever. That’s why Netsmart, an industry leader in electronic health records for human services and post-acute care, and HAQM Web Services joined forces to advance artificial intelligence for community-based care providers, through the development of an AI Data Lab. By combining the scale and power of AWS with the Netsmart CareFabric® platform, Netsmart is driving intelligent automation, generative AI, predictive analytics, natural language processing and risk models to improve care delivery and outcomes for community-based care providers.

In the third episode of the AWS Behind the Cloud series, John Davies, director of Latin America, Canada, and the Caribbean (LCC) sales for HAQM Web Services (AWS) worldwide public sector (WWPS), speaks on the importance of building skills to deliver results; scaling teams and programs geographically to serve the greater good; and leveraging generative AI responsibly to create more meaningful impact for business, government, and society.

Since wildfires can double in size and intensity every three to five minutes, early detection and reduced response times are essential. Cloud technologies, including artificial intelligence (AI) and machine learning (ML), can help with this. Learn a high-level architecture to create a solution with AWS that uses AI to identify and classify wildfire smoke imagery and then rapidly alert and inform first responders about the location and condition of a fire incident.