This post explores how Indegene built a production-grade, LLM-powered Data Quality Agent in its NEXT Unified Data Platform on AWS. The agent generates context-aware data quality rules, validates them, and produces ready-to-run SQL and Python under human-in-the-loop governance, helping life sciences organizations scale enterprise data quality.
How Indegene is modernizing and scaling enterprise data quality in life sciences
Publication summary. The terms of AWS Machine Learning do not allow reproduction of the full article: read the complete text on the original website.
Source summary (English)
Read the full article
aws.amazon.com