Author: Karthik Tharmarajan

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.

In the first post, we showed how Amazon QuickSight can be used to improve power utility operational efficiency. Power utility distribution network engineers or operators can visualize smart sensor status in real time and troubleshoot smart sensor issues. In this post, we share with you how to create, schedule, and share highly formatted multi-page reports based on different dashboards.

All your trusted BI capabilities of Amazon QuickSight now come with powerful new AI features that integrate chat agents, deep research, and automation in one seamless experience with Amazon Quick Suite! Learn more » Calculation at the right granularity always needs to be handled carefully when performing data analytics. Especially when data is generated through […]