Category: HAQM Q Business

In this post, we showcase a sample of how Alation’s business policies can be integrated with an HAQM Q Business application using a custom data source connector.

In this post, we show you how to connect HAQM Q, a generative AI-powered assistant, to HAQM FSx for Windows File Server to securely analyze, query, and extract insights from your file system data.

In this post, we demonstrate how to build a knowledge base solution by integrating enterprise data with HAQM Q Business using HAQM S3. This approach helps organizations improve operational efficiency, reduce response times, and gain valuable insights from their historical data. The solution uses AWS security best practices to promote data protection while enabling teams to create a comprehensive knowledge base from various data sources.

There is consistent customer feedback that AI assistants are the most useful when users can interface with them within the productivity tools they already use on a daily basis, to avoid switching applications and context. Web applications like HAQM Q Business and Slack have become essential environments for modern AI assistant deployment. This post explores how diverse interfaces enhance user interaction, improve accessibility, and cater to varying preferences.

In this post, we demonstrate how HAQM Q Apps can help maximize the value of existing knowledge resources and improve productivity among various teams, ranging from finance to DevOps to support engineers. We share specific examples of how the generative AI assistant can enable surface relevant information, distill complex topics, generate custom content, and execute workflows—all while maintaining robust security and data governance controls.

This post shows how MuleSoft introduced a generative AI-powered assistant using HAQM Q Business to enhance their internal Cloud Central dashboard. This individualized portal shows assets owned, costs and usage, and well-architected recommendations to over 100 engineers.

As organizations navigate the complexities of the digital realm, generative AI has emerged as a transformative force, empowering enterprises to enhance productivity, streamline workflows, and drive innovation. To maximize the value of insights generated by generative AI, it is crucial to provide simple ways for users to preserve and share these insights using commonly used tools such as email. This post explores how you can integrate HAQM Q Business with HAQM SES to email conversations to specified email addresses.

In this blog post, we explore a client services agent assistant application developed by the London Stock Exchange Group (LSEG) using HAQM Q Business. We will discuss how HAQM Q Business saved time in generating answers, including summarizing documents, retrieving answers to complex Member enquiries, and combining information from different data sources (while providing in-text citations to the data sources used for each answer).

HAQM Q embedded is a feature that lets you embed a hosted HAQM Q Business assistant on your website or application to create more personalized experiences that boost end-users’ productivity. In this post, we demonstrate how to use the HAQM Q embedded feature to add an HAQM Q Business assistant to your website or web application using basic HTML or React.

In this post, we’ll demonstrate how to configure an HAQM Q Business application and add a custom plugin that gives users the ability to use a natural language interface provided by HAQM Q Business to query real-time data and take actions in ServiceNow.