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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