Category: HAQM Q Business

HAQM Q Business integration with Microsoft 365 applications offers powerful AI assistance directly within the tools that your team already uses daily. In this post, we explore how these integrations for Outlook and Word can transform your workflow.

In this post, we demonstrate how to build a custom plugin with HAQM Q Business for backend integration. This plugin can integrate existing systems, including third-party systems, with little to no development in just weeks and automate critical workflows. Additionally, we show how to safeguard the solution using HAQM Cognito and AWS IAM Identity Center, maintaining the safety and integrity of sensitive data and workflows.

In this post, we show you how HAQM Q Business can help augment your generative AI needs in all the abovementioned use cases and more by answering questions, providing summaries, generating content, and securely completing tasks based on data and information in your enterprise systems.

In this post, we demonstrate how your organization can reduce the end-to-end burden of resolving regular challenges experienced by your IT support teams—from understanding errors and reviewing diagnoses, remediation steps, and relevant documentation, to opening external support tickets using common third-party services such as Jira.

In this post, we show how to create an application using HAQM Q Business with Jira integration that used a dataset containing a Trusted Advisor detailed report. This solution demonstrates how to use new generative AI services like HAQM Q Business to get data insights faster and make them actionable.

Today, we’re excited to announce that HAQM Q Business now supports anonymous user access. With this new feature, you can now create HAQM Q Business applications with anonymous user mode, where user authentication is not required and content is publicly accessible. In this post, we demonstrate how to build a public-facing generative AI application using HAQM Q Business for anonymous users.

In the first post of this series, we introduced a comprehensive evaluation framework for HAQM Q Business, a fully managed Retrieval Augmented Generation (RAG) solution that uses your company’s proprietary data without the complexity of managing large language models (LLMs). The first post focused on selecting appropriate use cases, preparing data, and implementing metrics to […]

This post demonstrates how Zoom users can access their HAQM Q Business enterprise data directly within their Zoom interface, alleviating the need to switch between applications while maintaining enterprise security boundaries. Organizations can now configure Zoom as a data accessor in HAQM Q Business, enabling seamless integration between their HAQM Q index and Zoom AI Companion. This integration allows users to access their enterprise knowledge in a controlled manner directly within the Zoom platform.

In this post, we demonstrate how to elevate business productivity by leveraging HAQM Q to provide insights that enable research, data analysis, and report potential fraud cases within HAQM Connect.

In this post, we demonstrate how you can use custom plugins for HAQM Q Business to build a chatbot that can interact with multiple APIs using natural language prompts. We showcase how to build an AIOps chatbot that enables users to interact with their AWS infrastructure through natural language queries and commands. The chatbot is capable of handling tasks such as querying the data about HAQM Elastic Compute Cloud (HAQM EC2) ports and HAQM Simple Storage Service (HAQM S3) buckets access settings.