Category: Storage

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.

K12 leaders need tangible solutions and tactics for improving their school’s or district’s cyber-resilience in the coming school year, and Amazon Web Services (AWS) is committed to supporting schools and districts as they enhance the cybersecurity of their networks. Recently, AWS joined the White House, the Department of Homeland Security, and the Department of Education—among other leaders in the government and education community—to commit to improving the cybersecurity resilience of K12 education. As part of this commitment, AWS created the K12 Cyber Grant Program, offering up to $20 million in AWS Promotional Credits to both new and existing K12 customers.

The University of Pittsburgh Athletics Department wanted to know more about its fans, so it looked for an innovative solution and turned to Amazon Web Services (AWS). By focusing on fan behavior and seeking out trends in ticket sales, the department hoped to answer questions surrounding team loyalty and how they could stay competitive. This post provides an overview of the powerful solution Pitt Athletics built to engage with and sell to its fanbase.

The Natural History Museum in London is a world-class visitor attraction and a leading science research center. NHM and Amazon Web Services (AWS) have worked together to transform and accelerate scientific research by bringing together a broad range of UK biodiversity and environmental data types in one place for the first time. In this post, the first in a two-part series, we provide an overview of the NHM-AWS project and the potential research benefits.

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.

In this post, you will learn how to deploy Amazon Web Services (AWS) Cloud Intelligence Dashboards (CID) using the Landing Zone Accelerator on AWS (LZA) solution. In doing so, you will learn how to customize your LZA deployment using the customizations-config.yaml file. By utilizing the LZA and CID together, you can streamline the deployment process, ensure compliance with best practices, and gain valuable insights into your cloud environment, ultimately leading to improved operational efficiency, enhanced security, and better-informed decision-making.

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.

Kokomo24/7 is a health and safety software education technology (EdTech) platform committed to creating safer schools and communities. Kokomo used Amazon Web Services (AWS) database and analytics tools to create a health-tracking platform that allowed the Los Angeles Unified School District (LAUSD), the second-largest school district in the US, to cut its costs by 50 percent while improving flexibility and response times.

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 Amazon 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.

This post discusses how Amazon Web Services (AWS) can help you successfully set up an Amazon DataZone domain, aggregate data from multiple sources into a single centralized environment, and perform analytics on that data. Additionally, this post provides a sample architecture as well as a walkthrough on how to set up that architecture. Ultimately, this post serves as a valuable resource if you’re seeking to optimize your data management processes and derive actionable insights to drive business growth.