Tag: HAQM EventBridge

The Metropolitan Police Department of Washington DC (DC-MPD) is one of the ten largest police agencies in the United States, serving as the primary law enforcement entity for the District of Columbia. Embracing cutting-edge technology provided by AWS, DC-MPD has integrated evidence analysis techniques with state-of-the-art information technology to advance crime-mapping, real-time crime statistics dashboards, and summary statistics for a holistic view of crime dynamics.

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.

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 HAQM Web Services (AWS) to improve working conditions for farmers and producers around the world.

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. 

HAQM Web Services (AWS) customers building software-defined ground segment solutions with the AWS Ground Station now have more confidence in their solution: they can integrate their DevOps practices with AWS Ground Station’s digital twin feature, which became generally available in August. The digital twin is useful for both aspiring and existing AWS Ground Station customers to achieve faster outcomes without applying for satellite licensing and more cost-effectively than scheduling a production satellite contact. Read this post to learn more.

This post explores the architectural design and security concepts employed by Radboud University Medical Center Nijmegen (Radboudumc) to build a secure artificial intelligence (AI) runtime environment on HAQM Web Services (AWS). Business leaders dealing with sensitive or regulated data will find this post invaluable because it demonstrates a proven approach to using the power of AI while maintaining strict data privacy and security standards.

To remain viable and continue to fulfill their mission, educational institutions are constantly seeking ways to optimize their IT costs while maintaining high-quality services. One often overlooked area for potential savings is the management of cloud resources, particularly HAQM Elastic Compute Cloud (HAQM EC2) instances. Many universities and colleges find themselves facing unexpected costs when EC2 instances are left running during off-peak hours or periods of inactivity. In this post, we explore how higher education customers can implement automatic shutdown mechanisms for EC2 instances, significantly reducing cloud expenses.

In an earlier post, Build secure and scalable data platforms for the European Health Data Space (EHDS) with AWS, we discussed a reference architecture for building secure and scalable data platforms for secondary usage of health data in alignment with the European Health Data Space (EHDS) using HAQM Web Services (AWS). This follow-up post walks you through the technical implementation details for building such federated data governance and analysis platforms using AWS. Whether you are a healthcare organization, technology provider, or systems integrator, this post aims to equip you with the technical knowledge to build a secure data platform for secondary usage of health data in alignment with the EHDS Regulation.

Today, generative artificial intelligence (AI) is at the core of many of the decisions and technologies businesses across the globe are implementing. The linchpin to ensuring that generative AI is effective depends on the foundation models (FMs) storing the data. To make sure that those FMs are pulling the correct data, HAQM Web Services (AWS) has developed a solution through HAQM Bedrock to generate SQL to answer user questions about the data. The solution was developed to support the Federal Institute of São Paulo (IFSP) and has optimized their decision-making.

In this post, we explore how AWS services, open source software, and bespoke source code can help address resource sharing enhancements requested by public sector customers using AWS Outposts. This solution aims to provide greater flexibility, control, and cost management for organizations leveraging Outposts in multi-account environments, specifically focusing on key AWS resources, including HAQM Elastic Compute Cloud (HAQM EC2), HAQM Elastic Block Store (HAQM EBS), and HAQM Simple Storage Service (HAQM S3) on Outposts.