Amazon announced a full slate of new products and services at its re:Invent 2023 conference, but the star of the show was undoubtedly the introduction of “Q,” an AI-powered chatbot designed to streamline various business operations for AWS (Amazon Web Services) customers.
Q integrates with commonly-used business applications like Salesforce, Jira, Zendesk, Gmail, and Amazon S3 storage. By indexing data from these connected applications, Q learns about a company’s structure, terminology, and key products, allowing it to answer complex questions, generate content, summarize, analyze data, and automate workflows and processes.
Importantly, Q knows AWS products and services inside out, and it’s capable of suggesting appropriate AWS solutions for different types of applications and workloads.
The trend of “talking” to data using natural language interfaces (chatbots) is clear. If you are interested in talking to your data, please reach out. We’re excited about Q – and we’re looking forward to helping our clients deploy it – but there are many ways to use AI to talk to your data, and I’d welcome the opportunity to chat with you about them.
Author’s note: This is not a sponsored post. I am the author of this article and it expresses my own opinions. I am not, nor is my company, receiving compensation for it. This work was created with the assistance of various generative AI models.
About Shelly Palmer
Shelly Palmer is the Professor of Advanced Media in Residence at Syracuse University’s S.I. Newhouse School of Public Communications and CEO of The Palmer Group, a consulting practice that helps Fortune 500 companies with technology, media and marketing. Named LinkedIn’s “Top Voice in Technology,” he covers tech and business for Good Day New York, is a regular commentator on CNN and writes a popular daily business blog. He's a bestselling author, and the creator of the popular, free online course, Generative AI for Execs. Follow @shellypalmer or visit shellypalmer.com.