Unlock the Power of AI: Discover Amazon Q, AWS’ Generative AI-Powered Assistant for Businesses
Amazon Web Services (AWS), the cloud technology platform of Amazon, is currently holding its yearly event called re:Invent 2023. The event started on November 28 and will run until December 1. During the first two days’ keynote session, numerous announcements and updates were made, with one announcement standing out – the introduction of Amazon Q, an AI-powered assistant created using generative AI technology. Share your thoughts on this new development.
What is Amazon Q
Amazon Q is an AI chatbot similar to OpenAI’s ChatGPT or Google Bard. But functionally it is very different from either of them. Amazon Q is a business-focused chat tool that allows users to ask questions about their businesses.
This means that Amazon Q is not just a universal chatbot that feeds huge amounts of general data, but also feeds company information and answers business questions itself. Employees can, for example, ask for instructions regarding a certain activity and get clarification.
This does not mean that a chatbot cannot draft emails or summarize large texts. It can do all of this, but also raise a flag or reveal code from an older project. Its specialty is that it can handle technical questions easily.
The chatbot’s official website has an example to explain what it’s capable of. It explains: “Ask Amazon Q: ‘What is the financial impact of delayed replenishment orders?'” in the AWS Supply Chain application and it will answer: “Delays cause 20 of your fast-moving products to be out of stock, with a revenue impact of $150,000. You can expedite shipments to reduce the impact on revenue by $95,000. , for $2.4,000.”
Another way a chatbot can help is as follows. “Ask Amazon Q: ‘What are some ways to build a web application on AWS?'” in the AWS Management Console. Amazon Q provides a list of possible services such as Amplify, Lambda, and Amazon EC2, the benefits of each, and links to getting started resources, such as on the website.
Users can access Amazon Q through the AWS management console or through individual company documentation pages, developer environments such as Slack, and other third-party applications. Selipsky has also said that the questions asked in Amazon Q are not used to train any of the underlying models.