Tag: Artificial Intelligence

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.

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.

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.

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.

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.

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.

Learn more about the announcements, innovations, and customer success stories from AWS re:Invent to inspire EdTech innovation in 2025.

Learn how HubbleIQ uses generative AI on AWS to enhance its autonomous IT support services and democratize connectivity in a digital world.

Government agencies handle vast volumes of bureaucratic documents daily, ranging from tax forms to medical records. This document-heavy workflow, often reliant on manual processing, can result in delays, errors, and increased operational inefficiencies, causing frustration among both employees and stakeholders. This post explores how intelligent document processing (IDP) solutions from Amazon Web Services (AWS) can modernize bureaucratic workflows, improve efficiency, and enhance service delivery within government agencies.

The healthcare industry is undergoing a profound transformation, driven by the adoption of generative artificial intelligence (AI), cloud computing, and connected care devices. This digital revolution promises to improve patient outcomes, reduce costs, and enhance the overall healthcare experience. However, it also introduces new challenges in terms of cybersecurity, privacy, and regulatory compliance. To navigate this complex landscape, healthcare organizations are turning to scalable, affordable, and highly available cloud infrastructures such as Amazon Web Services (AWS) to build resilient, secure, and innovative solutions.