Amazon Quick adds autonomous agents and multi-dataset analytics

Amazon Quick now offers autonomous agents and multi-dataset analytics capabilities. Autonomous agents allow users to specify tasks in natural language with granular autonomy levels, from step-by-step approval to broad goal-based execution, automating workflows continuously and eliminating manual repetitive work and notification overload. The new multi-dataset analytics feature enables users to query across data sources including Snowflake and relational databases using natural language, without requiring technical data preparation or pre-joining datasets. Quick leverages semantic intelligence from existing data catalogs such as AWS Glue, Databricks Unity Catalog, and Collibra, enforcing security through identity propagation that respects existing permissions. The redesigned activity feed provides a personalized, conversational interface where users can prioritize updates using thumbs up/down feedback, reply to emails and Slack messages, and approve requests directly-all without switching between applications. Users can also share Quick applications as public websites, extending collaboration capabilities beyond their organization.