Tag: Artificial Intelligence

Amazon Bedrock AgentCore empowers higher education institutions to finally move beyond AI experimentation to deliver intelligent, personalized support at a campus-wide scale. Read this post to learn more.

In the rapidly evolving landscape of academic research, cloud computing and advanced digital services have revolutionized the way scientists collaborate, analyze data, and disseminate findings. AWS is partnering with higher education institutions to revolutionize how research is conducted.

What if paper forms could be processed at the same speed as digital forms? What if their contents could be automatically entered in the same database as the digital forms? Medicaid agencies could analyze data in near real-time and drive actionable insights on a single dashboard. Whether a provider submits claims electronically or on paper, the claim could be adjudicated using the same process and analyzed the same way, saving both time and money. AI and ML services from AWS allow Medicaid agencies to create this streamlined solution. Moreover, AWS enables the adoption of solutions like this by providing no code or low code serverless services. Read this post to learn more

Imagine equipping every student with an adaptive study companion, faculty with an AI assistant for creating engaging teaching materials, and staff with an AI collaborator for tracking and analyzing student progress—that’s what Anthropic is offering with Claude for Education. Universities can now equip their academic community with this educational version of Claude while benefiting from the streamlined procurement and billing benefits of AWS. Read this post to learn more.

The Center for Digital Government and the Center for Digital Education (CDG/CDE) and AWS Champions Awards honor AWS customers who are setting new standards for innovation in the public sector. Curated by the CDG/CDE, this annual awards program recognizes visionary public and private sector organizations across state and local government (SLG), K–12, and higher education that are using the power of cloud computing to deliver better, faster, and more inclusive services.

Amazon Web Services (AWS) and Vanderbilt University are excited to announce the launch of the Vanderbilt Cloud Innovation Lab (CIL) for Libraries and Applied Digital Preservation, powered by AWS. This new creative collaboration marks a significant milestone in the advancement of digital preservation technologies and cloud-based solutions.

In an era where scientific discovery transcends borders, cloud computing is helping advance how researchers collaborate and innovate across the globe. Now available for download, The Value of Utilizing Cloud Service Providers for Open Science Research report—produced by Hyperion Research and sponsored by AWS— explores how and why researchers use cloud to accelerate open science research. Read this post to learn more.

In this post, we explore how we’re transforming educational content alignment by combining the graph database capabilities of Amazon Neptune with large language models (LLMs) accessible in Amazon Bedrock.

We are entering an era when conservationists don’t just have more data available, they also have far more powerful ways to connect it, collaborate with it, and drive meaningful outcomes through it. From rainforests to oceans, and across the entire surface of the earth, innovative organizations are using data to accelerate conservation outcomes with game-changing results.

Building on a commitment to using innovative technologies to enhance the learning experience, the University of Texas at Austin (UT Austin) collaborated with AWS to develop UT Sage, a faculty-guided, generative AI tutor platform. UT Sage provides conversational course-related support on-demand while aligning with responsible AI frameworks and preserving the essential connection between faculty and students. In this post, learn how UT Austin worked with the AWS Generative AI Innovation Center to build UT Sage and what this experience can teach other institutions navigating the promise and responsibility of AI in higher education.