Category: Artificial Intelligence

Although traditional weather forecasting methods have served us well, they often require substantial computational resources and time to deliver results. In this post, we explore how Brightband is revolutionizing this field by combining AI with Open Data on AWS to create faster, more accessible, and highly accurate weather forecasting solutions. When data is shared on AWS, anyone can analyze it and build services on top of it. Sharing data in the cloud lets data users such as Brightband spend more time on data analysis rather than data acquisition.

In this post, we introduce you to Kiro, an agentic AI development service, and show you how it can save you hours on your daily automation tasks. Learn how the Kiro command line interface (CLI) transforms DevOps automation with AI-powered agents that install, configure, and deploy infrastructure using natural language commands in minutes.

WildTrack is a fast-growing, award-winning nonprofit combining the ancient art and science of animal tracking with cutting-edge AI powered by AWS. The result is a new era in wildlife monitoring that democratizes conservation, empowering local communities to actively protect biodiversity. By merging traditional ecological knowledge (TEK)—refined over thousands of generations by indigenous trackers—with advanced machine learning, WildTrack’s approach transforms something as simple as a footprint into rich ecological insight. Read this post to learn more.

Amazon Nova Multimodal Embeddings processes documents as complete units, capturing both textual content and visual elements in a unified embedding space. This helps public sector organizations unlock the full value of their document repositories while maintaining the security, compliance, and accessibility standards required for government operations. Read this post to learn more.

The Contra Costa County District Attorney’s Office partnered with AWS and CC Tech Digital, an AWS Advanced Tier Partner, to modernize its subpoena handling process using a cloud-native, serverless solution on AWS. Read this post to learn more.

The Presidential AI Challenge is a nationwide initiative for educators and K-12 students to develop AI-powered solutions for real-world problems in their communities. With a January 20, 2026, deadline quickly approaching, now is the time to transform your idea into an impactful project. Whether you’re building a working prototype or crafting a detailed proposal, this guide breaks down exactly what you need to do to get your submission ready—specifically focusing on using PartyRock, the AWS no-code generative AI playground powered by Amazon Bedrock.

Each year, AWS provides AWS Imagine Grant winners with a holistic package of resources: unrestricted funding, AWS computing credits, and expert technical guidance to move their projects forward. Our three award categories are designed to support organizations at every stage of their cloud journey. This year—for the first time—our winner cohort spans six countries across three continents, with our inaugural nonprofit recipients in Canada, Australia, and New Zealand. Read this post to explore this year’s winning projects.

Working with AWS, Cornell University built Socratic Chat, an artificial intelligence (AI) assistant that delivers personalized Socratic teaching at scale. By fall 2024, over 500 students across multiple courses were using the tool, spending 10-15 minutes per assignment, working through progressively harder questions based on Bloom’s Taxonomy—freeing Ault and other professors to focus on in-depth instruction. Read this post to learn more.

Artificial Intelligence (AI) is transforming how governments interact with their citizens, turning critical touchpoints into highly personalized, efficient, and positive experiences. Where once contact centers could be a source of frustration to both workers and citizens, today AI-powered solutions deliver natural, intuitive, multilingual experiences that improve efficiency, lower costs and—most importantly—deliver better quality and proactive services.

When a University of Arizona associate professor needed to build a cross-disciplinary research team of women researchers for a new initiative, identifying the right experts seemed daunting. With thousands of faculty members spread across hundreds of departments, what would have traditionally required weeks of searching outdated websites and disconnected databases was completed in minutes through Knowledge Map (KMap), an AI-powered research platform developed by the University of Arizona and built on AWS.