Tag: Artificial Intelligence

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.

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.

In this post, we walk through creating a Retrieval Augmented Generation (RAG)–powered chat assistant using Amazon SageMaker AI and Amazon Kendra to query donor data on AWS.

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.