AWS Public Sector Blog

The National Healthcare Group (NHG) is a leader in public healthcare in Singapore and is recognized for delivering high-value patient care. Its clinical services are provided through an integrated system of polyclinics, acute care tertiary hospitals, community hospitals, national specialty centers, and community-based care centers. Read this post to learn how NHG has collaborated with Amazon Web Services (AWS) to develop an intuitive and engaging mobile application called the NHG Cares App, which engages residents and spurs them to take charge of their health through personalized care plans, wellness coaching, health and social care programs, digital health education resources, and many other healthcare services.

From training to supporting the front line, Amazon Web Services (AWS) can provide solutions to help solve the challenges that formations, units, and allies face. More than just providing computer and storage capability in the cloud, AWS can help intelligence, planning and operations teams leverage newer, cost-effective artificial intelligence (AI) and machine learning (ML), analytics, simulations, and other technologies.

Creating a government that is more transparent, better performing, and capable of responding to the needs of its citizens in real-time is not without its challenges. Governments must navigate a complex landscape of legacy systems, stringent regulations, and the need to protect sensitive citizen data. This is when the concept of a landing zone becomes essential.

CMMC compliance will soon be a must-have for federal contractors, so they need to plan now for how to achieve it. The path towards compliance differs according to the level needed and the assessments involved. Fortunately, there is no shortage of resources available to help—including from Amazon Web Services (AWS) and its partners.

Generative artificial intelligence (AI) has captured the imagination of organizations across industries, promising to revolutionize workflows and drive innovation. As public sector entities explore this transformative technology, a critical challenge emerges: identifying and prioritizing high-value use cases that align with specific business objectives and delivering measurable outcomes. In this post, we present an Amazon Web Services (AWS) framework to help public sector organizations navigate generative AI adoption and unlock its true potential.

International education is constantly evolving, and Studyportals is at the forefront, breaking down barriers and expanding access to global higher education opportunities for students worldwide. Studyportals is dedicated to equipping students with the resources and information necessary to successfully pursue their education abroad. Powered by the scalable and secure infrastructure of Amazon Web Services (AWS), Studyportals is now harnessing the transformative potential of generative artificial intelligence (AI) to redefine the student experience.

While Ukraine endures war, the pursuit of knowledge remains an unbreakable link to its future, a future that the Ukrainian government is actively building today. An educated population is their strongest weapon, and the country is nurturing a generation that is equipped and empowered to rise above all challenges and build a stronger Ukraine for tomorrow.

The Amazon Web Services (AWS) Modular Data Center (MDC) is a service that enables rapid deployment of AWS managed data centers for running location- or latency-sensitive applications in locations with limited infrastructure. It reduces deployment time in remote areas and supports up to five racks of AWS Outposts or AWS Snow Family devices. In this post, we guide you through the end-to-end process of deploying the MDC at your site.

The Generative AI Sandbox on AWS, powered by Amazon Bedrock Studio, provides a secure, governed, and isolated environment for organizations to explore the power of large language models (LLMs) and other generative artificial intelligence capabilities. Bedrock Studio users can test different LLMs side by side to understand which ones best suit their specific use cases: from drafting policy documents to analyzing public feedback, or creating educational content.

Customers with sensitive hybrid workloads can take advantage of an additional security feature available in Amazon Web Services (AWS) Direct Connect dedicated connections: MACsec encryption (IEEE 802.1AE). In this post, we explore how Direct Connect can handle architectural changes, such as adding or isolating different networks. We also cover adding an additional account boundary for security purposes, and how customers can move their Direct Connect connection to that new account.