AWS Public Sector Blog
Tag: Artificial Intelligence
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.
How ZNotes’ Amazon Bedrock chatbot addresses educational inequality globally
ZNotes, a social-impact startup on a mission to end educational inequality, primarily reaching young learners aged 14-18, is working to bridge this gap by providing free access to high-quality notes, videos, and quizzes that are co-created with top students to foster a collaborative peer-learning community. With Amazon Web Services (AWS), ZNotes enhances its ability to deliver accessible, high-quality learning experiences, ensuring that students—regardless of their background can receive the support they need to succeed. Read this post to learn more.
Securely running AI algorithms for 100,000 users on private data
This post explores the architectural design and security concepts employed by Radboud University Medical Center Nijmegen (Radboudumc) to build a secure artificial intelligence (AI) runtime environment on Amazon Web Services (AWS). Business leaders dealing with sensitive or regulated data will find this post invaluable because it demonstrates a proven approach to using the power of AI while maintaining strict data privacy and security standards.
Anthology launches omnichannel student services transformation with Amazon Connect
Learn how Anthology is working with Amazon Web Services (AWS) to develop a comprehensive omnichannel contact center strategy powered by generative artificial intelligence (AI) to transform the future of student support.
NATO’s march to multi-domain operations: Transforming the alliance with hyperscale cloud
Across NATO’s 32 member states, today’s rapidly evolving threat landscape requires continuous modernization of advanced technology solutions, underscoring the strategic importance of the alliance’s digital transformation. This modernization effort demands speed, scale, security, and global innovation capabilities to stay ahead. Collaborating with technology leaders like Amazon Web Services (AWS) can accelerate innovation and NATO’s ability to deliver mission-ready solutions to counter known and emerging threats.
Well-rounded technical architecture for a RAG implementation on AWS
In the age of generative artificial intelligence (AI), data isn’t just king—it’s the entire kingdom. Our previous blog post, Anduril unleashes the power of RAG with enterprise search chatbot Alfred on AWS, highlighted how Anduril Industries revolutionized enterprise search with Alfred, their innovative chat-based assistant powered by Retrieval-Augmented Generation (RAG) architecture. In this post, we examine the technical intricacies that make this system possible.
Enabling AI leadership in the age of government efficiency
Global leaders are convening in Germany this week at the annual Munich Security Conference (MSC) to discuss key foreign policy and security challenges. Amid these discussions, one thing is clear: global leadership increasingly hinges on technological progress. In particular, the rapid progress of artificial intelligence (AI) presents an extraordinary opportunity for transformative innovation. For the U.S. government, this moment marks a crucial inflection point: embrace bold modernization of digital infrastructure and AI investment or risk being outpaced by global competitors.
How startups PointHealth AI and Protege transform health treatment recommendations with AI on AWS
PointHealth AI, a healthcare technology (HealthTech) startup, and Protege, a data innovator specializing in artificial intelligence (AI)-ready datasets, are working with Amazon Web Services (AWS) to combine de-identified demographic and clinical information from millions of patient records, in order to deliver more precise and informed treatment recommendations. This data-informed strategy aims to give doctors the information they need to prescribe the right care for a patient’s unique needs—on the first try.
EdTech announcements and AI customer success stories: Highlights from the AWS re:Invent 2024 EdTech AI Innovation Forum
Learn more about the announcements, innovations, and customer success stories from AWS re:Invent to inspire EdTech innovation in 2025.
HubbleIQ bridges the digital divide with generative AI-powered IT support
Learn how HubbleIQ uses generative AI on AWS to enhance its autonomous IT support services and democratize connectivity in a digital world.