Amazon Quick announces autonomous agents, multi-dataset analytics, and redesigned activity feed

AWS announces multiple new features for Amazon Quick, an AI assistant that automates business workflows and provides unified analytics across data sources.

• Autonomous agents handle recurring tasks continuously with customizable autonomy levels from approval-based to goal-driven execution
• Multi-dataset analytics enables natural language queries across Snowflake, relational databases, and data catalogs without technical preparation
• Semantic intelligence inherited from AWS Glue, Databricks Unity Catalog, and Collibra with identity-based security enforcement
• Redesigned activity feed offers personalized interface for email replies, Slack messages, and request approvals without app switching
• Quick applications can be shared as public websites for extended collaboration

These capabilities eliminate manual repetitive work and enable users to reclaim hours daily through intelligent automation and seamless data access.