AWS Public Sector Blog
Tag: Artificial Intelligence
Generative AI for public agencies: 5 best practices for secure implementation
Generative artificial intelligence (AI) is revolutionizing public agencies by streamlining services and providing valuable insights from large datasets. However, adding generative AI to your agency is not a simple process. SMX, an HAQM Web Services (AWS) Premier Tier Services Partner, helped one nonprofit agency build a robust architecture in the AWS Cloud that provided them the foundation for building and implementing generative AI tools. In this guest post, experts from SMX explain five best practices they used to help this agency prepare for generative AI.
Improving customer experience for the public sector using AWS services
Citizens are increasingly expecting government to provide modern digital experiences for conducting online transactions. Market research tells us 63 percent of consumers see personalization as the standard level of service. This post offers various architectural patterns for improving customer experience for the public sector for a wide range of use cases. The aim of the post is to help public sector organizations create customer experience solutions on the HAQM Web Services (AWS) Cloud using AWS artificial intelligence (AI) services and AWS purpose-built data analytics services.
Reimagining customer experience with AI-powered conversational service discovery
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 HAQM 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.
Breaking barriers and leveraging generative AI to advance the US Federal Government: Insights from AWS executive Yvette Cesario
The US Federal Government has endless opportunity to lead the way as well as adopt best practices for how the latest technologies, including generative artificial intelligence (AI), can be leveraged to fulfill its various missions. Yvette Cesario, director of national security sales at HAQM Web Services (AWS) Worldwide Public Sector (WWPS), was the guest on the seventh episode of the AWS Behind the Cloud vodcast and shared her insights about how generative AI has endless opportunities for the US Federal Government to leverage to transform its operations and missions.
Use modular architecture for flexible and extensible RAG-based generative AI solutions
In this post, we cover an HAQM Web Services (AWS) Cloud infrastructure with a modular architecture that enables you to explore and take advantage of the benefits from different Retrieval-Augmented Generation (RAG)-based generative AI resources in a flexible way. This solution provides several benefits, along with faster time-to-market and shorter development cycles.
Manchester Airports Group looks to AWS to transform the passenger experience
From check-in through departure to the airfield and then back through the baggage halls, technology can transform the experience of airport passengers, partners, and staff. The UK’s Manchester Airports Group (MAG), which runs Manchester, London Stansted, and East Midlands airports, invests in this transformation. Read this post to learn how MAG has created a technology and data strategy in collaboration with HAQM Web Services (AWS) to integrate the elements of its complex ecosystems and deliver efficiencies.
Germany’s International University of Applied Sciences automates creation of educational videos using generative AI, serverless on AWS
The International University of Applied Sciences (IU) maintains 90 percent of its course content online. Through its online programs, IU aims to give people worldwide access to highly individualized education, enabling them to further enrich their lives. The large majority of IU’s infrastructure runs on HAQM Web Services (AWS). Read this post to learn why IU worked directly with AWS experts through the Experience-Based Acceleration (EBA) program to expand their automated video generation pipelines to be more scalable, modular, and robust.
City Colleges of Chicago drives tech program innovation with AWS Machine Learning University and Tech Alliance
City Colleges of Chicago (CCC)—the largest community college system in Illinois and one of the largest in the nation—participates in two no-cost HAQM Web Services (AWS) initiatives to advance and develop undergraduate technical programs. The AWS Machine Learning University Educator Enablement Program (MLU EEP) and the Skills to Jobs Tech Alliance connect early career talent to in-demand technical jobs globally, including in Illinois. Read this post to learn more.
How healthcare organizations use generative AI on AWS to turn data into better patient outcomes
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 HAQM Web Services (AWS) is being used in healthcare and discusses ways to leverage this technology in a responsible, safe way.
ASTERRA helps build a more sustainable Earth by identifying and mitigating ‘lost water’ using AWS
ASTERRA, an Israel-based geospatial and Earth observation company, uses HAQM Web Services (AWS) to help water utilities and a number of industries identify and mitigate pipeline leaks. ASTERRA uses AWS to derive intelligence and insights from beneath the surface of their largest installations and to bypass the need to break ground and dig for leaks. Read this post to learn how AWS has helped ASTERRA overcome traditional on-premises infrastructure limitations and to accelerate the development of solutions for anticipating and mitigating failures, saving water, energy, and avoiding carbon dioxide (CO2) emissions as a result.