Category: Customer Solutions

Macquarie University today announced a significant advancement in its digital transformation journey, partnering with Amazon Web Services (AWS) to create a modern, cloud-first environment that will revolutionize its technology infrastructure and services delivery.

Intelsat’s AWS Direct Connect hosted service expands their existing AWS Cloud portfolio, enabling more customers to access secure, high-performance cloud connectivity. The partnership directly benefits media companies through reduced network latency, enhanced security, lower connectivity costs, and simplified cloud resource access. Read this post to learn more.

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.

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.

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.

With over a decade of experience supporting more than 2,000 school districts across North America, Panorama Education had already built powerful tools for integrating academic, attendance, behavior, and life skills into one unified view of student progress. To unlock the value of that data securely, Panorama built Solara, a generative AI platform built on AWS. Solara is designed to help educators make sense of student data faster, design personalized student improvement plans, and reduce administrative burden while maintaining trust and data privacy at scale.

To help researchers reclaim their time and focus on discovery, Indiana University developed a secure, scalable, and cost-effective Automated Transcription Service (ATS) built on AWS. Since launching, the service has supported nearly 60 projects across 16 departments and has become a model for how universities can use cloud-native tools to affordably streamline research workflows and protect sensitive data.