AWS Business Intelligence Blog

Category: Generative BI

Anthology uses embedded analytics offered by Amazon QuickSight to democratize decision making for higher education

This is a guest post from Anthology. Created in the merger of four leading education technology companies—Blackboard, Campus Management, Campus Labs, and iModules—Anthology offers the world’s largest global EdTech ecosystem. Delivering and supporting Learning Management Systems, Student Information Systems, and Customer Relationship Management products, they operate in over 80 countries, serving more than 150 million […]

Amazon Q is now generally available in Amazon QuickSight, bringing Generative BI capabilities to the entire organization

We’re excited to announce that Amazon Q in QuickSight, previously announced in preview at AWS re:Invent 2023, is now generally available, bringing Generative BI capabilities to all Amazon QuickSight user roles. Organizations have amassed massive amounts of data, and customers we talk with are looking for faster ways to put that data to work informing […]

Generative BI dashboard authoring capabilities now available in preview for Amazon QuickSight Q customers

Amazon QuickSight customers can now try generative business intelligence (BI) capabilities in preview to build visuals, build calculations, and refine visuals by using the natural language interface of Amazon QuickSight Q. These new capabilities are the first wave of generative BI capabilities announced at the 2023 AWS New York Summit, and build on the early AI innovation of the natural language query capability of Q, which has enabled business users to ask questions of their data without having to write SQL queries or learn a BI tool since 2020. Generative BI in QuickSight is powered by Amazon Bedrock large language models (LLMs), which securely retain data within the AWS environment.

Announcing Generative BI capabilities in Amazon QuickSight

Generative BI capabilities for dashboard authoring are now in Public Preview! Read more. Data is a connective force that accelerates business growth. However, despite significant investments in data analytics, organizations often don’t use data-driven insights to make business decisions. Why? Among other reasons, traditional business intelligence (BI) tools force you to invest in time-consuming processes […]