Tag: public sector

In this blog post, we’ll delve into Socure’s journey of building a FedRAMP-compliant cloud infrastructure from the ground up that uses a comprehensive suite of AWS services, enhanced by key third-party tools such as Sumo Logic, Istio, Terraform, and Trend Micro, to create a modern, secure, scalable, and compliant cloud infrastructure architecture right from Day 1.

In this post, we will explore the use of generative artificial intelligence (AI) chatbots as a natural language alternative to the service catalog approach. We will present an Amazon Web Services (AWS) architecture pattern to deploy an AI chatbot that can understand user requests in natural language and provide interactive responses to user requests, directing them to the specific systems or services they are looking for. Chatbots simplify the content navigation and discovery process while improving the customer experience.

Introduction Government authorities such as tax, unemployment insurance, and other finance agencies across the US and globally are seeking ways to innovate. They are trying to unlock insights from their data, deliver better customer experiences, and improve operations using cutting-edge technologies such as generative artificial intelligence (AI), machine learning (ML), and other data analytics tools. […]

In this blog post, learn how companies operating in AWS can design architectures that maximize flexibility so they can support both cloud and on-premises deployment use cases for their satellite imagery processing workloads with minimal modifications. 

Learn how the National Cancer Institute Imaging Data Commons (IDC) team migrated the Imaging Data Commons data to AWS using AWS DataSync. Plus, learn how to get started with IDC data, which is accessible at no cost through the AWS Open Data Sponsorship Program.

Amazon Web Services (AWS) has collaborated with the UK National Cyber Security Centre (NCSC) to tailor advice on how UK public sector customers can use the Landing Zone Accelerator on AWS (LZA) to meet the NCSC’s guidance on “using cloud services securely.” Read this blog post to learn how the LZA on AWS can support each recommended action in the NCSC’s guidance.

This blog post provides technical guidance for UK organisations to implement their landing zone in-line with guidance from the UK National Cyber Security Centre (NCSC) using the LZA. 

In this blog post, learn how to set up a solution that enables school districts to notify a targeted group of parents about school bus breakdowns and delays via the parent’s preferred method of communication (i.e., phone call, SMS, or email), when a bus driver reports it. This solution uses AWS services like Amazon Connect and Amazon Pinpoint to create a solution in which a bus driver can call an automated system, report the bus breakdown, and start an outbound notification to parents notifying them of the event and potential delay. Through the same process, the system notifies parents that the bus is back in service or provides alternate instructions for student pickup.

In this blog post, learn how to establish best-practice hybrid connectivity within a Canadian Centre for Cyber Security (CCCS) Medium Cloud reference architecture. Amazon Web Services consulted with the CCCS, the Treasury Board of Canada Secretariat (TBS) and Shared Services Canada (SSC) to build the CCCS Medium Cloud Reference Architecture. This opinionated and prescriptive architecture can help reduce the time and effort required to implement CCCS Cloud Medium controls from 90+ days to 2 days.

Healthcare organizations across the nation are working to address clinician burnout and are more constrained than ever. That’s why Netsmart, an industry leader in electronic health records for human services and post-acute care, and Amazon Web Services joined forces to advance artificial intelligence for community-based care providers, through the development of an AI Data Lab. By combining the scale and power of AWS with the Netsmart CareFabric® platform, Netsmart is driving intelligent automation, generative AI, predictive analytics, natural language processing and risk models to improve care delivery and outcomes for community-based care providers.