Category: Public Sector

United States Customs and Border Protection (CBP) is using cloud computing, generative AI and machine learning to secure US borders and address complex challenges. On a panel at the AWS Summit 2025 event in Washington, DC, two of CBP’s technology leaders discussed how the agency is combating border issues using cloud technology. In this post, we explore the key points and insights shared by the CBP technology leaders.

In this post, you will learn how AWS technologies support the entire autonomous system lifecycle from AI-powered design and virtual prototyping in pre-deployment, to edge computing through services like AWS IoT Core and AWS IoT Greengrass and related solution guidance like Tactical Edge Application Deployment on AWS and Cloud Edge Global Access (CEGA) during deployment, through real-time mission operations, and finally to post-mission evolution using secure over-the-air updates and predictive maintenance.

Many public sector agencies consist of multiple departments, each with their own functions. This can introduce administrative delays when processing incoming requests due to challenges such as needing to manually route the ever-growing volume of paperwork to the correct destination. This blog explores how Amazon Bedrock can be used to address these challenges by classifying documents based on their key topics and appropriately distributing them. In particular, we will focus on improving the efficiency of the freedom of information (FOI) request process, but this solution can be applied to various public sector use cases.

What if you could get trusted answers from a leading veterinary college, any time of day, from anywhere? That’s the idea behind Big Red Bark Chat, a generative AI-powered chatbot developed by the Cornell Richard P. Riney Canine Health Center (RCHC) at the Cornell University College of Veterinary Medicine, in collaboration with AWS.

The post-secondary education sector is about to experience a seismic shift in how it manages data. In a landmark announcement, Amazon Web Services (AWS) and MortarCAPS have revealed a strategic partnership that promises to transform the way that tertiary education institutions handle information, support students, and drive innovation.

Read this post to learn how Zearn improved students’ learning experience with Amazon Polly, a scalable, high-quality text-to-speech (TTS) solution from AWS that offers human-sounding voices, Spanish-language support, and seamless API integration.

Leading EdTech company Doping Hafıza is revolutionizing how teachers work through Öğretmen Plus, an Amazon Bedrock-powered solution. Öğretmen Plus is a social responsibility project aimed at reducing teachers’ workloads by making lesson planning more efficient and effective for more than one million K–12 teachers across Türkiye.

The University of Minnesota Athletics Department had access to a lot of data, but lacked a way to bring it together. Even answering simple questions, like how many tickets were sold and who received them, required hours of cross-platform data wrangling. In less than a year, the department replaced that complexity with a scalable data lake built on AWS. The new data architecture—which gives the department full visibility into ticketing transactions and digital behavior—was built by a small internal team, without requiring a complete overhaul of their existing systems.

In this post, we explore how The Chronicle of Higher Education harnessed the power of generative AI and Amazon Bedrock to build Chron: a search assistant that unlocks the full value of The Chronicle’s rich archive for educators, administrators, and all higher-education professionals.

Recently, the AWS Large Language Model (LLM) League took center stage at the AWS Summit Washington, DC 2025, captivating attendees with its hands-on approach to fine-tuning large language models (LLMs). Read this post to learn more.