Amazon Quick's Live Data in Apps lets AI-built Quick apps query governed Quick Sight datasets live at view time instead of relying on build-time snapshots. Queries run as the viewing user, so row-level and column-level security apply per person, with server-side consent enforced on every query. This matters for practitioners because it removes manual data refresh and snapshot management from no-code, natural-language app building.
Qlik Answers lets employees ask questions of company data in natural language and get answers grounded in sources. It is built on Amazon Bedrock to address hallucination, verifiability, and deployment-in-regulated-environments concerns. It targets enterprises whose analysts spend hours searching documents and dashboards.
Qlik Answers lets employees ask questions of company data in natural language and get answers grounded in sources. It is built on Amazon Bedrock to address hallucination, verifiability, and deployment-in-regulated-environments concerns. It targets enterprises whose analysts spend hours searching documents and dashboards.
Databricks moved Genie App Builder into Beta, enabling workspace admins to turn it on under Previews as 'Governed agentic app-building'. The agent builds full data apps from natural language prompts against Unity Catalog data, running in a new governed App Space on a scale-to-zero Serverless Micro Apps runtime. It matters to practitioners because it lets non-technical users build internal tools without code while IT retains governance controls.
Databricks moved Genie App Builder into Beta, enabling workspace admins to turn it on under Previews as 'Governed agentic app-building'. The agent builds full data apps from natural language prompts against Unity Catalog data, running in a new governed App Space on a scale-to-zero Serverless Micro Apps runtime. It matters to practitioners because it lets non-technical users build internal tools without code while IT retains governance controls.
AWS published guidance on moving Amazon Quick deployments from proof of concept to production, focusing on security and compliance challenges that emerge beyond small pilot teams. The post targets teams whose permission models break when scaling across departments, as agents can return data outside their intended scope. It matters to practitioners deploying Quick's dashboards, Chat Agents, Flows, and Spaces with knowledge bases in regulated environments.
AWS published guidance on moving Amazon Quick deployments from proof of concept to production, focusing on security and compliance challenges that emerge beyond small pilot teams. The post targets teams whose permission models break when scaling across departments, as agents can return data outside their intended scope. It matters to practitioners deploying Quick's dashboards, Chat Agents, Flows, and Spaces with knowledge bases in regulated environments.
Amazon Quick for Microsoft 365 is an AI assistant that integrates with Microsoft Word, Excel, PowerPoint, and Outlook, providing access to enterprise data from Amazon Quick Sight, AWS, and third-party sources. It uses agentic AI to assist with document editing and data-driven tasks directly within the Office apps, eliminating the need to switch applications. This solves the problem of fragmented data access and workflow disruption for enterprise users.
Amazon Quick for Microsoft 365 is an AI assistant that integrates with Microsoft Word, Excel, PowerPoint, and Outlook, providing access to enterprise data from Amazon Quick Sight, AWS, and third-party sources. It uses agentic AI to assist with document editing and data-driven tasks directly within the Office apps, eliminating the need to switch applications. This solves the problem of fragmented data access and workflow disruption for enterprise users.
AWS announced customization capabilities for Amazon Quick embedded chat, allowing developers to align the conversational AI interface with their application's visual theming and brand voice. This enables a consistent user experience without leaving the app.
AWS announced customization capabilities for Amazon Quick embedded chat, allowing developers to align the conversational AI interface with their application's visual theming and brand voice. This enables a consistent user experience without leaving the app.