New type of assistant powered by generative AI empowers employees to get answers, solve problems, generate content and take actions using the data and knowledge available within their companies
Amazon Web Services announces Amazon Q, a new type of assistant powered by generative artificial intelligence, built on the company's core elements of security and privacy, and is job-specific and custom-built for customer businesses. Employees can get quick, relevant answers to pressing questions, generate content, and make decisions – all based on your company's information repositories, code, and corporate systems. Customers and partners excited to implement Amazon Q include Accenture, BMW Group, Gilead, Mission Cloud, Orbit Irrigation and Wunderkind.
Adam Selipsky, CEO of AWS, at AWS re:Invent 2023
Among the benefits of Amazon Q are:
- Providing information and recommendations to streamline tasks, accelerate decision-making and problem solving, and stimulate creativity and innovation at work.
- Personalizing your interactions for each individual user based on an organization's existing identities, roles, and permissions. Additionally, the wizard does not use corporate customer content to train its structural models and is designed to meet stringent requirements of corporate customers.
- AI-powered generative assistance for customers who are on AWS, work in-house, and use applications for AWS business intelligence (BI), contact centers, and supply chain management to help organizations of all sizes and industries securely leverage generative AI. Amazon Q is in pre-launch, widely available to customers on Connect, and will soon be in the AWS supply chain.
“Generative AI has the potential to spur a technological shift that will reshape the way people do everything from searching for information and creating new ideas to writing and building applications,” says Dr. Swami Sivasubramanian , Vice President of Data and Artificial Intelligence. “AWS is helping customers leverage generative AI with solutions at every layer, including infrastructure, tools, and purpose-built applications. Amazon Q builds on AWS' track record of making complex, expensive technologies accessible to customers of all sizes and technical abilities, with a data-first approach, built-in enterprise data, security, and privacy from the start. By bringing generative AI to where our customers work, whether building on AWS, working with internal data and systems, or using a variety of data and business applications, Amazon Q is a powerful addition to the suite of generative AI applications that opens up new possibilities for all organizations.”
Generative AI conversation apps have captured the public's imagination, but they don't know an organization's business, data, customers, operations, or employees – what work they do, who they interact with, what information they use, and what they can do. Access. Solutions were not originally designed with the security and privacy features that organizations need to be used securely in their daily work. This has led to companies adding features to their assistants after they're built, which doesn't work as well as building security into the fundamental design of the assistant. “Amazon Q will be transformative for Accenture as we continue to work closely with AWS to accelerate the adoption and deployment of generative AI technologies among our own engineers and with organizations around the world,” said Karthik Narain, executive director of the Accenture group.
Amazon Q specializes in customers building, deploying, and operating applications and workloads on AWS because:
- Amazon Q transforms the way applications and workloads are created, deployed, and operated on AWS;
- Customers can access Amazon Q through a conversational interface in the AWS Management Console, documentation pages, IDE, Slack, or other third-party chat applications;
- Amazon Q specializes in AWS Well-Architected Framework standards, best practices, documentation, and solution implementations, making it easier for customers to explore new services and features, get started faster, learn unfamiliar technologies, architect solutions, troubleshooting, updating apps, and more;
- You can get guided assistance and automate much of the end-to-end process. Developers can assign Amazon Q a backlog task and receive a step-by-step plan, with code and suggested changes;
- Amazon Q Code Transformation enables you to significantly reduce the time spent updating application security from days to minutes. The wizard analyzes the code base, identifies and updates its dependencies, generates the new language incorporating the latest security and performance enhancements, and tests the application execution.
Generative AI can help solve many challenges, but currently available solutions do not understand a company's roles and permissions. Amazon Q understands the resources an employee needs to do their job, who they interact with, what information they use, and what they can access, all in the context of their role. “New Amazon Q capabilities in QuickSight help our analysts create dashboards in hours when it used to take days. We are seeing an even greater impact on our business users, where Amazon Q in QuickSight is accelerating critical business decisions at the highest levels of our organization, enabling immediate answers to pressing questions,” comments Christoph Albrecht, engineering and data analytics consultant of the BMW Group.
Amazon Q will soon be on AWS Supply Chain. A cloud-based application that provides customers with insights into their supply chain system, combining Amazon's nearly 30 years of supply chain experience with the resiliency, security, and business continuity of AWS. With Amazon Q on AWS Supply Chain, you can ask “what,” “why,” and “what if” questions about your supply chain data, visualize results from complex scenarios, and ask follow-up questions to understand tradeoffs between different decisions. A customer could, for example, ask “What is causing my shipments to be delayed and how can I speed up the process?” and Amazon Q will provide a supply chain analysis noting that most orders were on the East Coast, a storm caused a delay, and deliveries can be expedited and cost-effective by shipping to New York instead of Miami.
To learn more about Amazon Q on AWS Supply Chain, click on here.
