Agentic AI analytics on Amazon SageMaker with Athena and QuickSight
TL;DR
AWS shows how an agentic AI assistant in Amazon QuickSight turns data analytics into a self-service capability. The architecture uses Amazon S3 for storage, SageMaker and Glue for the lakehouse, and Athena for serverless SQL across S3 Tables, Iceberg and Parquet, so business users can query data in natural language.
Nauti's Take
Nauti sees the real promise of agentic analytics here: business teams can ask questions in plain language without bothering BI or learning SQL. The catch: without a clean data model and governance, the agent will happily build wrong queries and serve answers that look like truth.
Strong for organizations with a mature lakehouse setup, dangerous for anyone whose data quality is still a mess.
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