During AWS re:Invent, Amazon Web Services, Inc. (AWS), a subsidiary of Amazon.com, Inc. , introduced Amazon Q, an innovative generative artificial intelligence (AI)-powered assistant designed explicitly for professional use, customizable to suit a customer’s business. This technology enables users to swiftly obtain relevant responses to urgent queries, create content, and execute actions—all informed by the customer’s data repositories, code, and enterprise systems.
Amazon Q facilitates information dissemination and guidance within organizations, streamlining tasks and expediting decision-making and problem-solving processes. It plays a role in fostering creativity and innovation in the workplace. Tailored to meet the stringent requirements of enterprise customers, Amazon Q personalizes its interactions based on individual user profiles, utilizing existing organizational identities, roles, and permissions. Importantly, Amazon Q abstains from using the content of business customers to train its underlying models.
Dr. Swami Sivasubramanian, Vice President of Data and Artificial Intelligence, highlighted the potential of generative AI to revolutionize various aspects of people’s activities, from information search and idea exploration to writing and application development. AWS is positioned to assist customers in harnessing generative AI across the entire technology stack, offering purpose-built infrastructure, tools, and applications. Amazon Q exemplifies AWS’s commitment to making complex technologies accessible to businesses of all sizes, prioritizing a data-centric approach and embedding enterprise-grade security and privacy from the outset.
While generative AI chat applications have captured public interest, their application in the workplace is hindered by the lack of knowledge about an organization’s intricacies. Amazon Q addresses this gap by leveraging 17 years of AWS knowledge and experience, transforming how developers and IT professionals work with AWS applications and workloads. Users can engage with Amazon Q through a conversational interface on the AWS Management Console, documentation pages, their integrated development environment (IDE), or via third-party chat applications like Slack.
Amazon Q serves as an expert on patterns within the AWS Well-Architected Framework, best practices, documentation, and solution implementations. This expertise facilitates faster exploration of new services, learning of unfamiliar technologies, solution architecture, troubleshooting, application upgrades, and more.
With a focus on understanding a customer’s business, Amazon Q addresses the challenge of disparate information across various sources. It caters to diverse organizational functions, from finance and human resources to marketing and sales, assisting employees in tasks such as information retrieval, analysis, report writing, and content adaptation. The platform ensures accuracy and fidelity to source material and allows administrators to exercise additional controls, including blocking specific topics and filtering questions and answers using keywords. Furthermore, administrators can restrict certain responses to specific employees or data sources.
Amazon Q extends its generative AI-powered assistance to Amazon QuickSight, Amazon Connect, and AWS Supply Chain. While currently available in preview, Amazon Q in Connect is generally accessible, and Amazon Q in AWS Supply Chain is anticipated to launch soon. For further details about Amazon Q, visit aws.amazon.com/q.
