Tag: Artificial Intelligence

In this post, we introduce AWS observability services, explore best practices for observability, and explain how to achieve them.

In this blog post, you will learn how Weill Cornell Medicine used generative AI to build a secure, searchable interface for its historical medical archives and unlock new research opportunities while preserving the integrity of these one-of-a-kind materials.

Between rising operational costs and a population surge, Collier County, Florida, found itself facing serious budgetary pressures. For 13 consecutive years, the county had raised property taxes to keep up. But by 2023, residents were growing fatigued, and county leaders knew they needed a different solution.

Timely access to medical imaging can mean the difference between early detection and delayed treatment. In Poland, healthcare technology company Radpoint has revolutionized how radiologists work and how patients receive care by building a comprehensive cloud-based medical imaging platform on Amazon Web Services (AWS). Their solution demonstrates how cloud technology can transform healthcare delivery while maintaining the highest security standards.

Read this post to learn how Loyola Marymount University worked with AWS to develop a secure, course-specific tool called the AI Study Companion, which has earned strong faculty approval while providing students with the support they need at substantial cost savings compared to commercial alternatives.

This post explores how AI agents powered by Strands Agents on AWS can transform geospatial workflows, making spatial data accessible to any government worker through natural language interactions.

Now you can save time and instill confidence in documents more quickly by using Amazon Quick Automate, which creates a set of agents to complete complex business tasks with reasoning. Amazon Quick Automate is a powerful multi-agent automation capability within Amazon Quick Suite that streamlines complex enterprise processes spanning multiple departments, systems, and applications. Read this post to learn more.

This post explores how prompt engineering—the art of effectively communicating with AI—can help educators guide their students in building powerful educational tools using PartyRock.

In this blog post, we demonstrate how public sector organizations can overcome the challenges that emerge when integrating Amazon Redshift and other AWS relational databases with Amazon Bedrock. You’ll learn how to utilize enterprise data to generate AI-powered analytical insights by using natural language queries through Amazon Bedrock Agents and Amazon Bedrock Knowledge Bases. This custom solution enables seamless connectivity between your structured data sources and generative AI applications, eliminating the need for data duplication and significantly reducing development effort.

In this era of rapid technology adoption, higher education institutions face a considerable challenge. They must adopt AI to drive value for their own organization, while also fulfilling their core mission—preparing students for an AI-integrated workforce. Read this post to learn more.