Category: Best Practices

The Amazon Web Services (AWS) Cloud Maturity Assessment (CMA) uses the AWS Cloud Adoption Framework (AWS CAF) to assess the maturity of your cloud adoption, and provide prescriptive guidance on prioritized next steps. By replacing guesswork with data-driven analysis, you will get a blueprint to prioritize, build, and mature your cloud capabilities. Read this post to learn more.

It should be simple to build digital platforms that offer people reliable, clear ways to access government services such as healthcare, business registration, and welfare payments. Cloud technology makes it possible for every service to be simple, reliable, scalable, adaptable, and secure. Public sector agencies need to be able to access the cloud, and they do so through public procurement processes. Procurement’s role in supporting modern, digital services for governments is the subject of a report from the Open Data Institute (ODI) and Open Contracting Partnership (OCP).

The European Health Data Space (EHDS) will establish a common framework and infrastructure for the use of health data for research, innovation, policy-making, and regulatory activities in the European Union (EU). It will also create common standards and practices enabling EU citizens to better access, control, and share their electronic personal health data. Read this post to learn why Amazon Web Services (AWS) welcomes the EHDS as an important step towards unleashing the vast potential of health data to benefit citizens across Europe and beyond.

For public safety agencies, secure collaboration and situational awareness are essential to preparedness and response. First responders need secure, uninterrupted communication to help them get oriented quickly and support complex coordination efforts. This post highlights how Amazon Web Services (AWS) secure communication service AWS Wickr integrates with the Android Team Awareness Kit (ATAK) to enhance the efficiency of emergency response with a user-friendly, map-based solution that expands the common operating picture and strengthens cross-team collaboration.

Digital engineering fundamentally relies on integrating data across model structures by using a digital thread – an underlying framework for integrating data from across traditionally siloed functions that create a consolidated view of the system’s data throughout its lifecycle. The cloud is integral to digital engineering by supporting collaboration across geographically dispersed organizations, automating workflows for data connectivity and trade space analysis in a reliable, scalable, and cost-effective manner. This post describes how Amazon Web Services (AWS) Partner General Dynamics Information Technology (GDIT) has used digital engineering in combination with secure and scalable AWS services, to deliver secure IT systems to a large defense program.

Amazon Web Services (AWS) customers, technology leaders, and government agency CIOs continually balance risk and reward to accomplish many things by using AWS GovCloud (US). They work to transform citizen experiences, save taxpayers money, support sustainable growth, expand market presence, modernize legacy systems, increase security, drive efficiencies, strengthen brand equity, and reduce environmental impact.

The public sector’s use of Internet of Things (IoT) devices is steadily growing, as these organizations learn how to implement and derive value from IoT solutions. Public sector agencies and organizations deploy IoT devices in a variety of areas, such as transportation and infrastructure, crime prevention, education, and utilities and environment. In this post, we are going to use the Cybersecurity and Infrastructure Security Agency ‘s (CISA) guidelines as a reference to improve the security of your IoT devices and learn how to address vulnerabilities using Amazon Web Services (AWS) IoT services.

Healthcare organizations invest heavily in technology and data. Generative artificial intelligence (AI) empowers healthcare organizations to leverage their investments in robust data foundations, improve patient experience through innovative interactive technologies, boost productivity to help address workforce challenges, and drive new insights to accelerate research. This post highlights three examples of how generative AI on Amazon Web Services (AWS) is being used in healthcare and discusses ways to leverage this technology in a responsible, safe way.

Amazon Web Services (AWS) works with higher education institutions, research labs, and researchers around the world to offer cost-effective, scalable, and secure compute, storage, and database capabilities to accelerate time to science. In our work with research leaders and stakeholders, users often ask us about best practices for leveraging cloud for research. In this post, we dive into five common questions we field from research leaders as they build the academic research innovation centers of the future.

The UK Department for Work and Pensions (DWP) is one of the largest government departments in the UK, with more than 90,000 employees in more than 800 locations. It’s responsible for making $266 billion in payments each year. The DWP is carrying out a large-scale digital transformation to improve its services and the way it interacts with citizens. Read this blog post to discover three lessons that DWP learned about hiring, training, and retaining while reshaping its digital approach.