Category: Generative AI

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.

In this post, we will discuss how MSBMI and CDHI joined forces to address UTHealth Houston’s reliance on faxing. The MSBMI and CDHI team—supported by UTHealth Houston Information Technology and HAQM Web Services (AWS)—built, deployed, and migrated a new solution called iDFax.

Learn how to build an AI coding assistant that meets stringent security requirements for federal customers. This technical guide demonstrates how to combine AWS AI services, open source development tools, and secure infrastructure to accelerate software development while maintaining complete control over model selection and architectural decisions in both AWS GovCloud (US) and commercial AWS Regions.

Personalized therapy for diseases such as cancer utilizes an individual’s unique genomic profile to guide treatment decisions. However, the effect and clinical significance of most genetic variants are uncertain. Accurate classification of the clinical significance of novel genetic variants requires extensive curation of peer-reviewed biomedical literature. In recent years, generative AI has demonstrated promising results in information extraction and text summarization. In this post, we explore how various AWS-native solutions can be used to create a secure, retrieval-augmented, and cost-effective biomedical chatbot designed to facilitate biocuration.

At AWS re:Invent 2024, which took place last December in Las Vegas, HAQM Web Services (AWS) unveiled an array of cutting-edge innovations during a week of keynotes, innovation talks, breakout sessions, product launches, interactive demos, and networking opportunities. In this post, we highlight the key takeaways from AWS re:Invent 2024 for government agencies.

Today, HAQM Web Services (AWS) launched the 2025 AWS Imagine Grant cycle in six countries. The AWS Imagine Grant is a public grant opportunity open to registered nonprofit organizations who are using cloud technology to accelerate their missions. Now in its eighth year, the AWS Imagine Grant is expanding to nonprofits beyond the US, UK, and Ireland, adding Canada, Australia, and New Zealand.

As more and more healthcare companies use their data to remain competitive, protecting patient data is as critical than ever. With increasing adoption of AI/ML models in healthcare, making sure that these technologies comply with privacy regulations such as HIPAA and GDPR has become a top priority. HAQM Bedrock is a fully managed service that provides unified access to a diverse selection of high-performance foundation models from industry-leading AI companies. In this post, we walk you through the importance of healthcare data privacy and how to use HAQM Bedrock Guardrails to safeguard sensitive information in AI-driven healthcare solutions.

On March 26, the Imagine Nonprofit conference will bring together nonprofit visionaries and leading technologists at HAQM HQ2 outside of Washington, DC. This no-cost, in-person event helps nonprofits rethink what’s possible for their missions with cloud technology. Read this post to learn more about what Imagine Nonprofit has in store.

In recent years, public sector organizations have found success running their scientific data processing workloads on HAQM Web Services. As the number of workloads increase with the massive data volume and complex scientific simulations, organizations are looking for ways to optimize cost while maintaining research momentum. HAQM EC2 Spot Instances presents a compelling option to run unused HAQM Elastic Compute Cloud (HAQM EC2) capacity with an up to 90 percent discount compared to On-Demand prices. However, the intermittent nature of Spot Instances often requires careful consideration, especially when handling time-sensitive mission-critical workloads. In this post, we discuss how organizations can effectively identify opportunities to use Spot Instances and HAQM Q Business to develop an enhanced Spot Instance analysis. 

Academic research IT departments around the world face the same challenge: how to balance their existing on-premises infrastructure with the opportunities of cloud computing. At the Supercomputing 2024 (SC24) conference, HAQM Web Services hosted a panel featuring two research IT leaders: Circe Tsui, associate director of solutions architecture at Emory University in the Office of Information Technology, and Dr. Robert Shen, director of the RMIT AWS Supercomputing Hub (RACE) at the Royal Melbourne Institute of Technology (RMIT). During the panel, Tsui and Shen shared how their institutions use AWS to augment and enhance their research operations with more scalability, security, and collaboration alongside their on-premises infrastructure. Read this post to learn more.