AWS Public Sector Blog
Category: Government
How the Port of Long Beach addresses supply chain challenges with AWS
The Port of Long Beach, California is the second busiest port in the United States and needs to effectively process and oversee more than $200 billion worth of cargo each year. In addition to keeping track of items and effectively communicating with stakeholders, the Port in recent times has had to contend with shipping delays and other supply change issues exacerbated by the pandemic. To increase visibility and efficiency of cargo movement, the Port turned to AWS to pioneer an innovative solution in the cloud.
Last chance to register for the IMAGINE 2022 conference for education, state, and local leaders
The IMAGINE 2022 conference presented by AWS is fast approaching, but there’s still time to register your spot. On Wednesday, August 3, 2022 at the Seattle Convention Center in Seattle, Washington, the IMAGINE 2022 conference will bring together education, state, and local leaders for a full day of learning about the latest innovations and best practices in the cloud to help transform communities. Join other mission-driven leaders for a full day of learning at this in-person event that combines thought leadership sessions, fireside chats, and networking opportunities designed to leave you with inspiration, new connections, and tangible ideas to take back to your organization or institution.
Four ways to buy cloud with federal year-end funds
The end of the US federal government fiscal year is fast approaching. With budget left to spend before September 30, agencies need to obligate their remaining 2022 fiscal year funds. AWS can provide federal agencies with options to procure future cloud computing resources using current-year funds. Learn more about efficient purchasing recommendations to meet your agency’s needs.
How NRCan used an AWS open source solution to complete a PBMM evidence package in 60 days
Since signing a framework agreement with the Government of Canada (GC) in 2019, AWS has developed an open source solution to automate the deployment of security controls for GC customers, which can reduce the time it takes to achieve an Authority to Operate (ATO). Natural Resources Canada (NRCan) used this solution to implement their cloud landing zone controls aligned with the Protected B, Medium Integrity, Medium Availability (PBMM) profile. They worked with AWS Partner Kainos to complete an ATO evidence package in only 60 days—a process that typically takes 18 months.
How the City of Fort St. John increased access to government services with AWS
In 2020, the City of Fort St. John in British Columbia began searching for innovative solutions to make life more simple for its young population. City staff wanted to better serve residents in ways that would suit their busy, digitally connected lifestyles. So the city worked with Cocoflo, a smart cities technology company, to implement a digital solution that could make municipal information and services more accessible through their SmartLiving portal—powered by AWS.
Running government workloads securely at the edge
Edge computing moves data processing and analysis close to endpoints where data is generated to deliver real-time responsiveness, and reduces cost associated with transferring large amounts of data. Edge environments include Internet of Things (IoT) or mobile devices, sensors, video cameras, and other connected resources. With edge, the usual security principles still apply such as protecting data at rest and in motion, but new considerations emerge. Learn more in the new IDC whitepaper.
Architecture framework for transforming federal customer experience and service delivery
Customer experience (CX) has emerged as a key priority in the US following the 2021 Biden Administration Executive Order (EO) to transform federal customer experience and service delivery. Application modernization enables agencies to simplify business processes and provide customers with flexible, interactive, and simple to use applications, resulting in improved CX. In this blog post, we present an AWS architecture framework that agencies can use to develop and deploy a modern application that helps improve CX.
How public sector agencies can identify improper payments with machine learning
To mitigate synthetic fraud, government agencies should consider complementing their rules-based improper payment detection systems with machine learning (ML) techniques. By using ML on a large number of disparate but related data sources, including social media, agencies can formulate a more comprehensive risk score for each individual or transaction to help investigators identify improper payments efficiently. In this blog post, we provide a foundational reference architecture for an ML-powered improper payment detection solution using AWS ML services.
Accelerate research with supplemental funding from the National Science Foundation’s CloudBank
Recently, the National Science Foundation (NSF) announced a new funding opportunity for any principal investigator (PI) with an active award from the NSF Directorate for Computer and Information Science and Engineering (CISE), for use of cloud services and technologies via CloudBank. PIs can submit requests for use of the AWS Cloud, on a rolling basis, with funding made available for the duration of one year. This is a first-of-its-kind opportunity for federally-funded researchers to explore the capabilities of the AWS Cloud, at no additional cost.
Enhance operational agility and decision advantage with AWS Snowball Edge
In a data-dependent world, success belongs to the side with decision advantage: the ability to acquire data and make sense of a complex and adaptive environment, and act smarter and faster than the competition. Understanding global environments requires more than just more data – it requires live two- and three-dimensional maps, new support tools, improved processes, seamless connectivity, and better collaboration that can scale to the needs of the environment. This blog post explores how to address challenges of big data and accelerate time to data insights with machine learning with AWS Snowball Edge device deployment at the edge.