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Amazon Unveiled ‘Q’, an AI-Powered Chatbot for AWS Customers

IBL News | New York

Amazon Web Services (AWS) unveiled yesterday at AWS re:Invent conference in Las Vegas a business and workplaces focused, but not intended for customers, AI assistant named Amazon Q.

This chatbot seems like Amazon’s answer to OpenAI’s ChatGPT, Microsoft’s Copilots, and Google’s Bard and Duet.

Available in public preview, Amazon Q starts at $20 per user per month, while Microsoft and Google both charge $30 a month for each user of the enterprise chatbots that work with their email and other productivity applications.

It is accessible from the AWS Management Console through a conversational interface — see picture below — and existing chat apps like Slack.

• “Amazon Q is an expert for customers building, deploying, and operating applications and workloads on AWS,” said the company.

“Trained on 17 years of AWS knowledge and experience, Amazon Q transforms the way developers and IT professionals build, deploy, and operate applications and workloads on AWS.”

• “Customers can get crisp answers and guidance by asking questions to learn about AWS capabilities (e.g., “Tell me about Agents for Amazon Bedrock?”), research how an AWS service works (e.g., “What are the scaling limits on a DynamoDB table?”), figure out the best way to architect a solution (e.g., “What are the best practices for building event-driven architectures?”), or identify the best service for their use case (e.g., “What are the ways to build a web app on AWS?”).”

• “Customers can connect Amazon Q to their business data, information, and systems, so it can synthesize everything and provide tailored assistance to help employees solve problems, generate content, and take actions relevant to their business.”

Amazon Q comes with over 40 built-in connectors for popular data sources, including Amazon S3, Dropbox, Confluence, Google Drive, Microsoft 365, Salesforce, ServiceNow, and Zendesk, as well as the option to build custom connectors for internal intranets, wikis, and run books.

It means that employees can use Amazon Q to complete tasks in popular systems like Jira, Salesforce, ServiceNow, and Zendesk. For example, an employee could ask Amazon Q to open a ticket in Jira or create a case in Salesforce.

Q indexes all connected data and content, “learning” aspects about a business, including its organizational structures, core concepts, and product names. Customers upload a file (a Word doc, PDF, spreadsheet, and the like) and ask questions about that file.

Amazon Q provides generative AI-powered assistance across QuickSight — its BI service that offers interactive dashboards, paginated reports, embedded analytics, and natural-language querying capabilities — Amazon Connect and AWS Supply Chain.

AWS mentioned six brands already using its chatbot in addition to Amazon: Accenture, BMW Group, Gilead, Mission Cloud, Orbit Irrigation, and Wunderkind.

Unlike ChatGPT and Bard, Amazon Q is not built on a specific AI model. Instead, it uses an Amazon platform known as Bedrock, which connects several AI systems together, including its own Titan, as well as ones developed by Anthropic and Meta.

The name Q is a play on the word “question,” given the chatbot’s conversational nature, said Adam Selipsky, CEO at AWS (in the picture below).
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Adam Selipsky speaks in front of a colorful screen that says “A.W.S. re: Invent.”