Category: Public Sector

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.

In October 2024, at Amazon Web Services (AWS) Cloud Day Malaysia, the region’s AWS Skills to Jobs Tech Alliance was launched. In collaboration with the Malaysia Digital Economy Corporation (MDEC), the Tech Alliance aims to modernize tech programs of study at Malaysian higher education institutions, connect learners to in-demand tech jobs, and support the development of a highly-skilled tech workforce.

Generative artificial intelligence (AI) has revolutionized how we work and is reshaping the workforce of the future. However, a recent study conducted by Access Partnership for AWS revealed that 81 percent of Malaysia’s employers struggle to find the AI talent they need, despite nine in 10 stating that hiring AI-skilled talent is a priority for them. To address the nation’s AI skills gap, AWS and Jabatan Pendidikan Politeknik & Kolej Komuni (JPPKK), an agency under Malaysia’s Ministry of Higher Education (MOHE), teamed up to introduce new training initiatives targeting both educators and students to uplift Malaysia’s TVET (technical and vocational education and training) community.

Federal agencies typically collect, manage, use, and distribute a wide array of documents. Storing and distributing federal agency documents is often a complicated process; documents can range from structured formats to free-flowing documentation with personal identifiable information (PII) that needs careful redaction. And because federal agencies cover a wide breadth of domains, it is challenging to develop a one-size-fits-all approach for document processing. In this post, we explore an example of how a federal agency can use Amazon Web Services (AWS) to design and deploy a solution that addresses this document processing challenge.

In the world of prescription drug monitoring, pharmacies rely on continuous access to data and software for responding to vital patient needs. This post highlights how one digital healthcare technology organization, Bamboo Health, provides critical access to prescription-monitoring services with the help of Amazon Web Services (AWS) and Amazon Relational Database Service (Amazon RDS).

As government organizations transition to Amazon Web Services (AWS), they often seek to maintain operational continuity by using their existing on-premises firewall solutions. Gateway Load Balancer (GWLB) enables seamless integration of these firewall appliances into the AWS architecture, ensuring consistent security policies and minimizing disruptions. This post explores best practices for implementing GWLB to facilitate centralized traffic inspection for both east-west and north-south traffic flows.

On December 2, the Amazon Web Services (AWS) re:Invent conference returns to Las Vegas for our 13th year of learning with cloud enthusiasts from around the world. This flagship AWS event unites global visionaries to explore the latest technologies redefining what’s possible for their missions. For our public sector pioneers, tailored sessions and activations will amplify your re:Invent experience, and this post will help you to start charting your personalized agenda today.

The 2024 version of the United Nations (UN) annual report “The State of Food Security and Nutrition in the World” found that about 29.6 percent of the global population, or about 2.4 billion people, were moderately or severely food insecure in 2022, meaning they did not have adequate access to food. Food security can be caused by a number of factors, including poverty, inflationary factors, violent conflict, and the effects of climate change. In this post, we demonstrate how generative artificial intelligence (AI) can help organizations better understand the food security crisis.

Rideshare demand prediction is a well-explored topic in academia and industry, with abundant online resources offering diverse modeling frameworks tailored to different geographic contexts. A challenge with rideshare demand prediction, however, is that the trip data required to calibrate or train models can be exceptionally large. In this post, we explore the challenges of big data analytics and showcase how ArcGIS GeoAnalytics Engine, a spatial analytics library for the Apache Spark environment, can be used on Amazon EMR to effectively address these problems.

With the Internet of Things (IoT), selecting the right communication protocol ensures efficient data exchange and seamless connectivity between devices and the cloud. With a multitude of IoT protocols available, choosing the one that best suits your specific use case can be challenging. In this blog, we explore four common protocols used to connect IoT devices to the cloud and shed light on when and where to deploy them for optimal results.