Category: HAQM Q Business

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.

In this post, we examine how these features enhance the capabilities of HAQM Q Apps. We explore the new customization options, detailing how these advancements make HAQM Q Apps more accessible and applicable to a wider range of enterprise customers. We focus on key features such as custom labels, verified apps, private sharing, and data collection apps (preview).

HAQM Q Business launched support for tabular search, which you can use to extract answers from tables embedded in documents ingested in HAQM Q Business. Tabular search is a built-in feature in HAQM Q Business that works seamlessly across many domains, with no setup required from admin or end users. In this post, we ingest different types of documents that have tables and show you how HAQM Q Business responds to questions related to the data in the tables.

In April 2024, we launched our AI sales assistant, which we call Field Advisor, making it available to AWS employees in the Sales, Marketing, and Global Services organization, powered by HAQM Q Business. Since that time, thousands of active users have asked hundreds of thousands of questions through Field Advisor, which we have embedded in our customer relationship management (CRM) system, as well as through a Slack application.

In this post, we walk you through configuring and integrating HAQM Q for Business with Aurora PostgreSQL-Compatible to enable your database administrators, data analysts, application developers, leadership, and other teams to quickly get accurate answers to their questions related to the content stored in Aurora PostgreSQL databases.