AWS Public Sector Blog

Category: Amazon Redshift

How eduroam empowers its community through real-time analytics with Amazon Quick Sight

How eduroam empowers its community through real-time analytics with Amazon Quick Sight

For the more than 2,800 administrators across approximately 1,200 participating institutions in the US, that means access to near daily provided to them through Amazon Quick Sight on Amazon Web Services (AWS) by the eduroam team at Internet2. However, this wasn’t always the case. This post walks through how the eduroam team modernized their data reporting pipeline, the architecture behind it, and the impact it’s had on institutional engagement.

TOLAP: Closing the data-object security gap in AI agent architectures

TOLAP: Closing the data-object security gap in AI agent architectures

Every major agent framework has a security model for this. Amazon Web Services (AWS), Microsoft, and Google each ship agent solutions with authentication and credential management built in. Amazon Bedrock Agents, for example, enforces AWS Identity and Access Management (IAM)-based authorization on which AWS Lambda functions, Amazon Simple Storage Service (Amazon S3) buckets, and Amazon Bedrock Knowledge Bases an agent might invoke.

Solving federal log retention requirements with AWS account-level subscription filters

Solving federal log retention requirements with AWS account-level subscription filters

Learn how the Login.gov team implemented a robust long-term log retention system that solved multiple architectural challenges while using Amazon Web Services (AWS) account-level subscription filters to provide capabilities that other approaches couldn’t match.

AWS branded background with text "Unlock enterprise data for generative AI by integrating structured sources with Amazon Bedrock in AWS GovCloud (US)"

Unlock enterprise data for generative AI by integrating structured sources with Amazon Bedrock in AWS GovCloud (US)

In this blog post, we demonstrate how public sector organizations can overcome the challenges that emerge when integrating Amazon Redshift and other AWS relational databases with Amazon Bedrock. You’ll learn how to utilize enterprise data to generate AI-powered analytical insights by using natural language queries through Amazon Bedrock Agents and Amazon Bedrock Knowledge Bases. This custom solution enables seamless connectivity between your structured data sources and generative AI applications, eliminating the need for data duplication and significantly reducing development effort.

AWS branded background design with text overlay that says "How Amazon Redshift ML can help enhance outcomes for underperforming, at-risk students"

How Amazon Redshift ML can help enhance outcomes for underperforming, at-risk students

Higher education institutions are under increasing pressure to demonstrate the effectiveness of their programs and provide students with a clear path to degree completion. Data analytics can help these institutions proactively identify and support at-risk students, allowing them to develop personalized intervention strategies to improve student retention and graduation rates. In this post, we’ll explore how Amazon Redshift ML, a powerful machine learning (ML) capability within the Amazon Redshift data warehouse, can enable higher education leaders to quickly predict student outcomes and communicate insights to key stakeholders.

AWS branded background design with text overlay that says "New AI/ML solutions in AWS GovCloud (US) underpin responsible innovation"

New AI/ML solutions in AWS GovCloud (US) underpin responsible innovation

How can technology leaders rapidly deliver responsible artificial intelligence-based innovation while aligning with the broad spectrum of strict regulatory requirements? The answer is simple: Amazon Web Services (AWS) GovCloud (US) provides the technology that underpins a solid foundation for securely and compliantly building and deploying AI capabilities. Read this post to learn more.

AWS branded background design with text overlay that says "Singapore’s EVe harnesses the power of data with help from NTT DATA, AWS"

Singapore’s EVe harnesses the power of data with help from NTT DATA, AWS

In alignment with Singapore’s ambitious sustainability objectives, the Land Transport Authority (LTA) of Singapore is intensifying its efforts to spur the adoption of electric vehicles. This contributes to the nation’s goal of achieving 100 percent cleaner energy vehicles by 2040, and the effort leverages Amazon Web Services (AWS). LTA has set up EV-Electric Charging Pte Ltd (EVe) to manage the deployment of up to 12,000 electric vehicle (EV) charging points distributed across 2,000 Housing Development Board (HDB) carparks.

AWS branded background design with text overlay that says "Modern data strategy for government tax and labor systems"

Modern data strategy for government tax and labor systems

Introduction Government authorities such as tax, unemployment insurance, and other finance agencies across the US and globally are seeking ways to innovate. They are trying to unlock insights from their data, deliver better customer experiences, and improve operations using cutting-edge technologies such as generative artificial intelligence (AI), machine learning (ML), and other data analytics tools. […]