Today, we are excited to announce that Amazon Q Business—a fully managed generative-AI powered assistant that you can configure to answer questions, provide summaries and generate content based on your enterprise data—is now generally available in the Europe (Ireland) AWS Region.
Since its launch, Amazon Q Business has been helping customers find information, gain insight, and take action at work. The general availability of Amazon Q Business in the Europe (Ireland) Region will support customers across Ireland and the EU to transform how their employees work and access information, while maintaining data security and privacy requirements.
AWS customers and partners innovate using Amazon Q Business in Europe
Organizations across the EU are using Amazon Q Business for a wide variety of use cases, including answering questions about company data, summarizing documents, and providing business insights.
Katya Dunets, the AWS Lead Sales Engineer for Adastra noted,
Adastra stands at the forefront of technological innovation, specializing in artificial intelligence, data, cloud, digital, and governance services. Our team was facing the daunting challenge of sifting through hundreds of documents on SharePoint, searching for content and information critical for market research and RFP generation. This process was not only time-consuming but also impeded our agility and responsiveness. Recognizing the need for a transformative solution, we turned to Amazon Q Business for its prowess in answering queries, summarizing documents, generating content, and executing tasks, coupled with its direct SharePoint integration. Amazon Q Business became the catalyst for unprecedented efficiency within Adastra, dramatically streamlining document retrieval, enhancing cross-team collaboration through shared insights from past projects, and accelerating our RFP development process by 70%. Amazon Q Business has not only facilitated a smoother exchange of knowledge within our teams but has also empowered us to maintain our competitive edge by focusing on innovation rather than manual tasks. Adastra’s journey with Amazon Q exemplifies our commitment to harnessing cutting-edge technology to better serve both our clients and their customers.
AllCloud is a cloud solutions provider specializing in cloud stack, infrastructure, platform, and Software-as-a-Service. Their CTO, Peter Nebel stated,
“AllCloud faces the common challenge of information sprawl. Critical knowledge for sales and delivery teams is scattered across various tools—Salesforce for customer and marketing data, Google Drive for documents, Bamboo for HR and internal information, and Confluence for internal wikis. This fragmented approach wastes valuable time as employees hunt and peck for the information they need, hindering productivity and potentially impacting client satisfaction. Amazon Q Business provides AllCloud a solution to increase productivity by streamlining information access. By leveraging Amazon Q’s natural language search capabilities, AllCloud can empower its personnel with a central hub to find answers to their questions across all their existing information sources. This drives efficiency and accuracy by eliminating the need for time-consuming searches across multiple platforms and ensures all teams have access to the most up-to-date information. Amazon Q will significantly accelerate productivity, across all lines of business, allowing AllCloud’s teams to focus on delivering exceptional service to their clients.”
Lars Ritter, Senior Manager at Woodmark Consulting noted,
“Amazon Bedrock and Amazon Q Business have been game-changers for Woodmark. Employees struggled with time-consuming searches across various siloed systems, leading to reduced productivity and slower operations. To solve for the inefficient retrieval of corporate knowledge from unstructured data sources we turned to Amazon Bedrock and Amazon Q Business for help. With this innovative solution, Woodmark has been able to revolutionize data accessibility, empowering our teams to effortlessly retrieve insights using simple natural language queries, and to make informed decisions without relying on specialized data teams, which was not feasible before. These solutions have dramatically increased efficiency, fostered a data-driven culture, and positioned us for scalable growth, driving our organization toward unparalleled success.”
Scott Kumono, Product Manager for Kinectus at Siemens Healthineers adds,
“Amazon Q Business has enhanced the delivery of service and clinical support for our ultrasound customers. Previously, finding specific information meant sifting through a 1,000-page manual or waiting for customer support to respond. Now, customers have instant access to answers and specifications right at their fingertips, using Kinectus Remote Service. With Amazon Q Business we were able to significantly reduce manual work and wait times to find the right information, allowing our customers to focus on what really matters – patient care.”
Till Gloger, Head of Digital Production Platform Region Americas at Volkswagen Group of America states,
“Volkswagen innovates not only on its products, but also on how to boost employee productivity and increase production throughput. Volkswagen is testing the use of Amazon Q to streamline employee workflows by potentially integrating it with existing processes. This integration has the possibility to help employees save time during the assembly process, reducing some processes from minutes to seconds, ultimately leading to more throughput.”
Pricing
With Amazon Q Business, enterprise customers pay for user subscriptions and index capacity. For more details, see Amazon Q Business pricing.
Get started with Amazon Q Business today
To get started with Amazon Q Business, users first need to configure an application environment and create a knowledge base using over 40 data source connectors that index documents (e.g text, pdf, images, tables). Organizations then set up user authentication through AWS IAM Identity Center or other SAML-based identity providers like Okta, Ping Identity, and Microsoft Entra ID. After configuring access permissions, applications users can navigate to their organization’s Amazon Q Business web interface using their credentials to begin interacting with the Q Business and the data they have access to. Q Business enables natural language interactions where users can ask questions and receive answers based on their indexed documents, uploaded content, and world knowledge – this may include getting details, generating content or insights. Users can access Amazon Q Business through multiple channels including web applications, Slack, Microsoft Teams, Microsoft 365 for Word and Outlook, or through browser extensions for gen-AI assistance directly where they work. Additionally, customers can securely share their data with verified independent software vendors (ISVs) like Asana, Miro, PagerDuty, and Zoom using the data accessors feature, which maintains security and compliance while respecting user-level permissions.
Learn more about how to get started with Amazon Q Business here. Read about other Amazon Q Business customers’ success stories here. Certain Amazon Q Business features already available in US East (N. Virginia) and US West (Oregon) including Q Apps, Q Actions, and Audio/Video file support will become available in Europe (Ireland) soon.
About the Authors
Jose Navarro is an AI/ML Specialist Solutions Architect at AWS, based in Spain. Jose helps AWS customers—from small startups to large enterprises—architect and take their end-to-end machine learning use cases to production.
Morgan Dutton is a Senior Technical Program Manager at AWS, Amazon Q Business based in Seattle.
Eva Pagneux is a Principal Product Manager at AWS, Amazon Q Business, based in San Francisco.
Wesleigh Roeca is a Senior Worldwide Gen AI/ML Specialist at AWS, Amazon Q Business, based in Santa Monica.
