AWS Public Sector Blog
Category: Amazon Bedrock
Student attentiveness and engagement analysis in live classrooms with generative AI
Learn how student attentiveness and engagement analysis in live classrooms has been addressed with generative AI.
How Sphero brings safe, impactful AI to K12 classrooms with Amazon Bedrock
In this blog, learn how Sphero, a company that creates programmable robots for K12 education, built a generative AI coding assistant into its Sphero Edu app using Amazon Web Services (AWS) to solve that problem.
Building an identity-verified remote assessment platform on AWS
Universities across the UK conduct tens of thousands of online interviews and exams each year. During a single admissions intake, over 20,000 video interviews were recorded for international applicants, with 1.3% of sessions showing confirmed fraud, including 0.15% involving deepfakes. A survey by the International Center for Academic Integrity (ICAI) found that 2% of students […]
Building self-recovering systems against technology and business risk with Amazon Bedrock production resilience
Your generative AI production workloads can route around failures automatically. As foundation models (FMs) converge in quality, Amazon Bedrock gives you access to multiple leading models through a single API, so you can build systems that recover from throttling and capacity limits without human intervention. They’re self-healing by design. The reliability patterns behind this are […]
Introducing the AWS Australian public sector user guide for building responsible AI systems
Australian public sector agencies can now harness AI’s transformative potential while maintaining ethical, transparent, and compliant systems with new practical guidance from Amazon Web Services (AWS). AWS is excited to announce that the AWS Australian Public Sector User Guide: Building Responsible AI systems with Amazon Bedrock and Amazon SageMaker AI is now available through AWS […]
Accelerating GovTech development with Kiro
Government agencies, educational institutions, and GovTech vendors face a unique challenge: delivering AI-powered applications while navigating compliance requirements, limited budgets, and legacy constraints. A single accessibility remediation cycle can cost $50,000 or more. Audit preparation takes weeks. Security reviews delay citizen services by months. Small IT teams struggle to maintain expertise across Federal Risk and […]
How AI technologies transform national meteorological services delivery
Innovative AI technologies can drive a profound transformation in meteorological services as this new Amazon Web Services (AWS) short report describes. AI, generative AI, and agentic AI offer opportunities to transform meteorological services and their business models. The new methods complement traditional physics-based Numerical Weather Prediction (NWP) models. They collect and analyze vast datasets rapidly. […]
Anne Arundel County integrates generative AI into case management to empower staff and improve citizen services
Every day, the Anne Arundel County, Maryland, Office of Community Engagement and Constituent Services receives hundreds of resident concerns by phone, online, and even in handwritten letters. These aren’t routine inquiries but complex problems, such as zoning disputes, permitting questions, and other issues that residents have escalated to the highest levels of county government. Staff […]
How government agencies can transform cybersecurity operations with Amazon Bedrock AgentCore
Government agencies are facing a cybersecurity challenge. Traditional security information and event management (SIEM) systems generate thousands of alerts on a daily basis, overwhelming security operations center (SOC) analysts who spend countless hours manually investigating incidents. Studies show that 70% of alerts turn out to be false positives. This reactive approach creates critical vulnerabilities: alert […]
Accessing commercial AI from AWS GovCloud (US) for your CJIS workloads
Justice and Public Safety organizations require access to the latest foundation models (FMs) available through Amazon Bedrock for mission-critical AI implementations. This post aids with your evaluation of important CJIS compliance considerations that JPS organizations must address when implementing these architectures.









