This post demonstrates that integration in action by automating one of the most labor-intensive workflows in financial services: anti-money laundering (AML) alert triage. You will build a triage workflow using Amazon Quick Flows and Snowflake Cortex, connected through the Amazon Quick Model Context Protocol (MCP) integration. In our testing environment, automated workflows built using Amazon Quick reduced alert investigation time from 30-90 minutes to under 5 minutes. Actual results may vary based on alert complexity and data volume.
Live AI News Intelligence
Live monitoring
Live updates
Trusted sources, attribution, rights, and in-site reading distilled into a signal-first AI brief.
Live updates
2026-05-28
Automate AML alert triage with Amazon Quick and Snowflake Cortex AI
Data Formulator 0.7: AI-powered data analytics for enterprise data
Data Formulator 0.7 is an open-source AI-powered system for enterprise data analytics that combines data connectivity, agent-guided exploration, and visualization refinement in a shared workspace.
Catch up on 12 major I/O 2026 moments
Here are 12 of the biggest Google I/O 2026 keynote moments, including news about Gemini Omni, Gemini 3.5 Flash, information agents in Search, Universal Cart, Neural Expressive, Gemini Spark, and intelligent eyewear.