Q Business: Rethinking workflow automation and data intelligence – SiliconANGLE

Data is revolutionizing the business landscape, with companies extracting new competitive areas by getting smarter with their insights-generation process.

Recognizing this shift, Amazon Inc. has introduced Q Business, which is designed to empower non-technical users while complementing developers, transforming data accessibility and productivity.

“Imagine a business intelligence person … being able to generate reports about their business for the last six months and extract all the information from all the meetings they’ve had, all the information sitting in their documents in Outlook and all of that, bringing it all together,” said Mukesh Karki (pictured), general manager and director of Amazon Q Business at AWS. “That’s just compelling, and it was a big announcement.”

Karki spoke with theCUBE Research’s John Furrier for theCUBE’s “Cloud AWS re:Invent Coverage,” during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed AWS’ continued innovation with Q Business, addressing emerging customer needs while democratizing access to advanced analytics and AI.

Q Business ushers in a new era for data intelligence and workflow automation

AWS introduced several enhancements to Q Business, with a focus on integrating business intelligence and workflow automation. Highlights included the capability to consolidate data from diverse sources — such as Outlook, Microsoft Exchange or Confluence — and derive actionable insights through natural language queries. For instance, users can now generate reports, create support tickets or extract insights from meetings and documents, directly within the platform’s intuitive interface, according to Karki.

“What’s happening behind the scenes is we are using these models to go through all these structured data that exists in your data lakes, data stores and all of these places, and these models are trained to give insights to the users,” he said. “It’s not just the data scientists, data engineers, but other folks as well.”

Moreover, AWS emphasized the integration with Amazon QuickSight, enabling data storytelling through interactive dashboards. The synergy between these tools underscores AWS’ vision: simplifying data utilization for all users, according to Karki.

“Through the Q Business interface, they can basically say well get that insight from Q and QuickSight and combine all of this together,” he said. “It’s much more than just a chatbot at this point in time.”

Here’s the complete video interview, part of SiliconANGLE’s and theCUBE’s “Cloud AWS re:Invent Coverage”:

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