Category: Artificial Intelligence

In this post, we demonstrate how to programmatically implement feature-level restrictions at the account level using custom permissions in Amazon Quick Suite, helping organizations adopt the latest innovations in generative AI while maintaining enterprise-grade security and compliance. We walk through how to apply custom permissions to turn off AI-based capabilities at the account level for both new and existing Quick Suite account subscriptions using AWS services like CloudTrail, EventBridge, Lambda, and CloudFormation.

In this post, we explore how Amazon Quick Suite administrators can implement comprehensive enterprise governance using custom permissions at account, role, and user levels. The post provides a detailed guide on restricting various capabilities like Flows, Automate, Spaces, Actions, Chat Agents, Research, Analyses, and Dashboards while maintaining security and user access policies.

In this post, we announce that Amazon QuickSight is evolving into Amazon Quick Suite, marking a significant leap forward in making comprehensive business insights readily available to everyone in your organization. The evolution introduces several AI-powered features including Quick Research, Quick Flows, Quick Automate, and Quick Index, all accessible through Quick chat while maintaining enterprise-grade security and governance.

In this post, Availity shares how they implemented Amazon QuickSight and Amazon Q to transform their healthcare analytics capabilities, enabling real-time insights from billions of transactions using self-service analytics and natural language querying. The solution helped Availity reduce dashboard creation time from days to minutes while scaling from 300 pilot users to over 100,000 customers, all while maintaining strict healthcare compliance requirements.

In this post, we discuss how the NFL succeeded in delivering insights to fans at scale with QuickSight through two groundbreaking experiences: Combine IQ and Draft IQ. These experiences transformed NFL’s talent evaluation events by providing insights on player performance and draft predictions to over 1.14 million visitors and to millions of fans viewing broadcasts worldwide.

In this post, we demonstrate how to use Amazon Bedrock model invocation logs to enhance the observability of model usage by using Amazon Athena for efficient log querying and Amazon QuickSight for insightful visualizations.

In this post, AWS premier consulting partner Storm Reply and the BMW Group share how they collaborated to migrate BMW Group’s traditional on-premises BI tools to Amazon QuickSight. By using advanced code automation, generative AI, and an AWS serverless architecture, the team simplified the BMW Group’s BI processes, reduced manual efforts, and achieved scalability. The post outlines the specific challenges encountered during the migration and explains how they were overcome through a collaborative approach, using cloud-centered solutions.

In this post, we share how Solomon used Amazon QuickSight and AWS technologies to transform emissions data analysis in the oil and gas industry, reducing analysis time from 6 weeks to just 1 week while providing real-time insights for sustainable operations.

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.