Tag: Artificial Intelligence

As European institutions race to meet ambitious digital transformation goals for 2024-2029, workforce skills development has become critical. AWS is addressing this challenge head-on with specialized learning solutions designed specifically for EU government professionals. In this post, we explore how AWS Skill Builder is helping create the digitally skilled workforce Europe needs.

AWS and the University of Luxembourg have signed a Memorandum of understanding (MoU) to enhance education through the use of cutting-edge cloud technology. The MoU aims to strengthen the collaboration in cloud computing, focusing on skills development, research, and artificial intelligence (AI) integration. Read this post to learn more.

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 Amazon Web Services (AWS)—built, deployed, and migrated a new solution called iDFax.

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.

Today, Amazon 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.

Fair Trade USA™ is a nonprofit organization that is committed to eliminating poverty by promoting sustainable development through ethical trade. They work to ensure fair compensation, safe working conditions for farmers and workers, and sustainable farming practices. In this post, you’ll learn how Fair Trade USA leverages Amazon Web Services (AWS) to improve working conditions for farmers and producers around the world.

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. Amazon 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 Amazon Bedrock Guardrails to safeguard sensitive information in AI-driven healthcare solutions.

One of the primary strategies for growth for partners is through global expansion. Amazon Web Services (AWS) continues to invest in infrastructure around the globe. The Middle East is one region with huge potential for growth. According to IDC, more than 75 percent of workloads are on premises in the United Arab Emirates (UAE) and Saudi Arabia. The AWS and IDC report “Unlocking the Full Potential of AI in the Middle East” points out that 28 percent of organizations surveyed in the UAE and Saudi Arabia are currently investing in AI while another 50 percent plan to invest. Read this post to learn more.

On March 26, the Imagine Nonprofit conference will bring together nonprofit visionaries and leading technologists at Amazon 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 Amazon 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. Amazon EC2 Spot Instances presents a compelling option to run unused Amazon Elastic Compute Cloud (Amazon 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 Amazon Q Business to develop an enhanced Spot Instance analysis.