Category: Amazon API Gateway

Like many healthcare providers, University Hospitals Coventry and Warwickshire (UHCW) NHS Trust, which manages two major hospitals and serves a population of more than one million, has operated with legacy technology that relies heavily on phone calls and manual processes for contacting patients. Recognizing an opportunity to modernize, the Trust linked up with IBM Consulting for an innovative pilot project to digitize patient engagement channels using Amazon Web Services (AWS). Read this post to learn more.

The process of transcribing video or audio files has traditionally been manual and time-consuming. Beyond the need for accurate and cost-effective transcriptions, attorneys have determined a need for timestamping capabilities, speaker identification, search and replace capabilities, the highlighting of specific words, editing capabilities, and most importantly, shortened turnaround times.To address the need for quicker and more accurate transcription of audiovisual files, the Contra Costa County (CCC) District Attorney’s (DA) Office reached out to Amazon Web Services (AWS) and partnered with AWS Partner ScaleCapacity to develop a solution that would automate the manual transcription process. Read this post to learn more.

When government agencies choose Amazon Web Service (AWS) to store data, they choose to take advantage of inheriting the strictest security controls and standards. In addition, AWS services offer a unique opportunity to enhance networking and security approaches, ensuring safe and resilient data transfer mechanisms. This blog post provides guidance towards data sharing among government agencies, offering prescriptive approaches and best practices for implementing secure data exchange solutions using AWS services.

The­ Digital Transformation Hub (DxHub) at California Polytechnic State University (Cal Poly) in San Luis Obispo – powered by Amazon Web Services (AWS) and part of the AWS Cloud Innovation Centers (CIC) program – collaborated with the City of San Diego and the San Diego Cyber Center of Excellence (CCOE) to create ‘My eCISO,’ a generative artificial intelligence (AI)-based application that propels public and private organizations on a path to cyber resiliency. This post explores the technology behind My eCISO and its implications for organizations looking to protect against attacks.

Healthcare organizations worldwide are leveraging Amazon Web Services (AWS) and partner solutions to modernize, transform, and innovate their businesses. Ensuring the availability and security of critical applications is paramount. For example, two renowned German medical facilities, Fachklinikum Mainschleife and Max Grundig Klinik, needed to modernize their IT infrastructure to comply with stringent regulatory requirements outlined in the country’s Law for Accelerating the Digitalization of Healthcare (DigiG). Reliable and compliant service offerings from AWS enabled the medical facilities to provide reliable access to essential systems.

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 Amazon Web Services (AWS) Cloud using AWS artificial intelligence (AI) services and AWS purpose-built data analytics services.

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.

In this post, we cover an Amazon 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.

Within the Food and Drug Administration’s Center for Drug Evaluation and Research, the Division of Medication Error Prevention and Analysis (DMEPA) plays a critical role. DMEPA reviews premarket and postmarket drug labeling to minimize the risk of medication errors. In partnership with DMEPA, Amazon Web Services (AWS) Partner ICF is developing a machine learning (ML) prototype known as the Computerized Labeling Assessment Tool (CLAT). The prototype employs innovative applications of optical character recognition (OCR) technology and the novel use of computer vision techniques that will alleviate bottlenecks in and enhance the efficiency of the drug labeling review process.

Government agencies are increasingly using large language models (LLMs) powered by generative artificial intelligence (AI) to extract valuable insights from their data in the Amazon Web Services (AWS) GovCloud (US) Regions. In this guide, we walk you through the process of hosting LLMs on Amazon Elastic Compute Cloud (Amazon EC2) instances, using the Hugging Face Text Generation Inference (TGI) Container (TGI) for serving custom LLMs.