Category: Generative AI

In this post, Kyndryl demonstrates how they used Amazon Q in QuickSight to build a Certification Data Explorer tool for analyzing company-wide employee AWS technical certification data, enabling quick insights and data-driven decision-making.

Amazon QuickSight is a serverless, fully managed business intelligence (BI) service that enables data-driven decision-making at scale. QuickSight meets diverse analytic needs with modern interactive dashboards. In Part 1 and Part 2 of this series, we showed how QuickSight can improve power utility operational efficiency and how to create, schedule, and share highly formatted multi-page reports based on different dashboard requirements. In this post, we focus on implementing generative artificial intelligence (AI) in QuickSight and how generative AI can help operators quickly analyze and identify circuit faults to improve power utility operational efficiency.

The AWS team is organizing exciting new events that will run through the remainder of 2024, delivering engaging sessions on the latest innovations with AWS pertaining to generative artificial intelligence (AI) and business intelligence (BI), Amazon Q, analytics, and machine learning (ML). The events also include a hands-on boot-camp focused on offering tailored solutions to business personas. The aim is to help our customers innovate faster using data analytics, ML, and generative BI on AWS, all with no code. This event is designed to cater to a diverse audience, from business leaders seeking to explore the frontiers of generative AI and Amazon Q to individuals with limited or no coding experience who aspire to dive into end-to-end data workflows. Even seasoned coders are invited to discover how they can unlock faster insights and harness the power of generative BI.