Tag: best practices

In this blog post, we will show you how to stream the Common AWIPS Visualization Environment (CAVE) application using Amazon AppStream 2.0—a managed application streaming service that enables users to stream desktop applications from Amazon Web Services (AWS) to any device without additional hardware or software.

Generative AI can automate tasks like code generation, testing, and documentation, but public sector customers must prioritize solutions that meet unique regulatory and operational requirements. Addressing these challenges with a secure and compliant generative AI solution can transform software development, helping organizations deliver projects on time while reducing costs. This post outlines the considerations and solutions to evaluate when selecting an AI coding solution.

What if a Medicaid agency could make sure that their leadership and staff had access to a reliable, single source of truth for their data in one unified platform? The implementation of an operational data store (ODS) presents a viable solution. This post explains the architectural choices available with Amazon Web Services (AWS) to effectively create and maintain an ODS.

Deloitte’s Resident Outreach solution (available in AWS Marketplace) enables state agencies to adapt their resident communications through the power of generative AI on AWS. In this post, we discuss how Deloitte empowers the four capabilities of Resident Outreach: Multi-Modal Completion of Applications & Renewals, Application Nudges, Correspondences, and Campaigns.

Generative AI, machine learning (ML), and cloud technologies are revolutionizing the way we work. To succeed in the workforce, proficiency in these technologies is becoming increasingly important. At Amazon Web Services (AWS), we understand the challenges of acquiring new skills and have developed innovative, gamified solutions to make learning more engaging and effective.

At AWS, we work with EdTechs of all sizes, giving us unique insight into how AI is shaping the industry. Based on our work with EdTechs and educational institutions around the world, we’ve identified six key trends shaping the future of AI in education.

To support education leaders on their AI journey, we’ve developed a practical guide that maps real-world challenges to proven AI use cases. While not exhaustive, these examples serve as inspiration—highlighting what others have achieved and helping you explore how AI can address your institution’s priorities

For academic institutions leveraging cloud services, it is important to proactively manage and optimize cloud costs. In this post, we explore 10 tips to help control cloud costs using Amazon Web Services (AWS).

This post is part four of a four-part series that addresses how a Cloud Center of Excellence (CCOE) can be a viable solution to address the challenges of digital transformation. In this post, we discuss a framework for defining organizational areas of responsibility.

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.