AWS Public Sector Blog
Category: Artificial Intelligence
Coming to a city near you: AWS State, Local, and Education Learning Days
By 2026, more than 90 percent of organizations worldwide will face challenges related to an IT skills shortage. Artificial intelligence skills are among the most in-demand, but a variety of cloud skills like architecture, data management and storage, and software development are among the top 10 needed IT skills. To address these needs, Amazon Web Services hosts AWS State, Local, and Education Learning Days, a series of no-cost in-person events nationwide. These one-day events provide IT professionals and business executives in state and local government (SLG) and education with hands-on learning opportunities to grow their cloud skills. Read this post to learn more.
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.
53 new or updated datasets available on the Registry of Open Data on AWS
The AWS Open Data Sponsorship Program makes high-value, cloud-optimized datasets publicly available on Amazon Web Services (AWS). AWS works with data providers to democratize access to data by making it available to the public for analysis on AWS; develop new cloud-based techniques, formats, and tools that lower the cost of working with data; and encourage the development of communities that benefit from access to shared datasets. The full list of publicly available datasets are on the Registry of Open Data on AWS and are now also discoverable on AWS Data Exchange. This quarter, AWS released 53 new or updated datasets and you can learn more about them in this post.
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.
Benchmark Education accelerates grading and boosts student feedback with generative AI on AWS
Learn how Benchmark Education Company worked closely with Amazon Web Services (AWS) to build a grading tool powered by generative artificial intelligence (AI) to help teachers dramatically reduce the time they spend grading open-ended assessments—while maintaining accuracy, privacy, and trust.
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.