Amazon was the last to jump on the AI chatbot bandwagon

Amazon, the technology giant, has unveiled Q, an AI-powered chatbot tailored for clients using Amazon Web Services (AWS). Debuted at the AWS re:Invent conference in Las Vegas, Q is priced at $20 per user per year and is currently open for public preview. Designed to handle queries like “How can I create a web application using AWS?” Q draws on 17 years of AWS data for its training, offering a variety of potential solutions along with detailed explanations to assist users in evaluating its recommendations.

On stage, AWS CEO Adam Selipsky emphasised the seamless capabilities of Q, highlighting its capacity for effortless chatting, content generation, and task execution. All these functionalities are guided by a comprehensive understanding of your systems, data repositories, and operational processes.

Q is configured by AWS users who connect it to and tailor it with organisation-specific applications and software such as Salesforce, Jira, Zendesk, Gmail, and Amazon S3 storage instances. The chatbot indexes all linked data and content, gaining insights into various aspects of a business, including organisational structures, core concepts, and product names.

Using a web application, a company has the capability to request Q to assess issues such as customer difficulties with specific product features and potential enhancements. Similarly to ChatGPT, the company can upload various file formats (Word documents, PDFs, spreadsheets, etc.) and pose questions related to the content. Q leverages its connections, integrations, and data sources, incorporating business-specific information, to generate responses along with relevant citations.

Q extends its capabilities beyond mere question answering. The assistant has the ability to create or condense content, including tasks like crafting blog posts, summarising press releases, and composing emails. Additionally, it can execute actions on behalf of a user using a set of customizable plugins. These actions may involve tasks such as automatically generating service tickets, alerting specific teams through Slack, and updating dashboards in ServiceNow.