Category: Artificial Intelligence

Teams from AWS, working with Sentient Industries, brought the power of AI directly into Excel spreadsheets. Logistics officers can now type the device description in Excel and have the power specs retrieved from a knowledge base in Amazon Bedrock. Unlike a chat-based solution, the AI directly loads the data into spreadsheet cells, creating a streamlined and efficient user workflow. The AI meets the users where they are, and this capability is now being commercialized by Sentient. Read this post to learn more.

Learn how Seesaw worked with Amazon Web Services (AWS) to build an AI-powered reading assessment tool using Amazon Transcribe, and how it has supported teachers at Vacaville Unified School District (VUSD) in northern California.

Read this post to learn how the City of Virginia Beach worked with Amazon Web Services (AWS) to modernize its Emergency Communications and Citizen Services (ECCS) using Amazon Connect, introducing AI capabilities that help serve citizens faster and reduce dispatcher workloads.

In this post, we explore how the intuitive interface, collaborative features, and diverse learning modalities of PartyRock make it an ideal tool for educators who want to support AI literacy goals while accommodating different learning styles and technical backgrounds.

Working with AWS, a three-person Boise State University team built boisestate.ai, a custom AI platform, in just six months. The solution gives the entire campus access to multiple models while cutting per-user costs by more than 80%. Read this post to learn more.

MPAC, Ontario’s property assessment expert managing 5.7 million properties, faced mounting pressure on their IT support desk. Routine requests consumed most of the support team’s resources, creating bottlenecks and impacting organization-wide productivity. MPAC needed a round-the-clock IT support solution that maintained stringent security and governance standards for a public sector organization. MPAC’s IT Support Assistant—powered by their custom MPAC Orchestrator platform and Amazon Bedrock on AWS revolutionized its IT support.

This week, the Department of Energy recognized AWS as a supporter of the Genesis Mission, highlighting our work with Idaho National Laboratory (INL) on civil nuclear innovation. AWS had the privilege of joining US Secretary of Energy Chris Wright and national laboratory directors at a roundtable discussion at the White House’s Eisenhower Executive Office Building to discuss this transformational initiative. It’s a recognition of a collaboration already underway—and a validation of the infrastructure and approach America needs to win the race for AI-powered scientific leadership.

In this post, we explore how the combination of a modern AWS Cloud architecture, streaming media, and AI technologies are evolving the Intelligence, Surveillance, and Reconnaissance (ISR) landscape, establishing a new era of enhanced mission system capabilities.

Coursera and AWS surveyed more than 750 technology executives across six countries to understand how organizations are balancing automation, human expertise, and infrastructure modernization as they prepare for an AI-driven future. The survey reveals a clear insight: As organizations move toward AI-driven operations, success begins with the cloud.

The number of K-12 educators who use artificial intelligence (AI) is growing quickly, with many turning to AI assistants for timely and reliable insights into student performance. By eliminating administrative tasks and simplifying data analysis, these emerging tools enable teachers to focus on what matters most: supporting student growth. In the 2025-26 school year, Otus, a leading K-12 student data and assessment solution, will empower 1,165 administrators and 8,579 educators to maximize outcomes for over 106,000 students with its assistant. Putting AI into everyday practice helps these districts capitalize on the reliable data foundations they already have in place and integrate the information into effective classroom strategies.