AWS Machine Learning Blog· Bhagyashree Chandak·· 4 h ago
How Indegene is modernizing and scaling enterprise data quality in life sciences
How Indegene is modernizing and scaling enterprise data quality in life sciences
AI summary
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.
Selection record
Threshold 60Official, first-handFirst 38Second 42
Not admittedSum of both 80 < twice the threshold 120
- Source tier
- Official, first-hand; this tier's threshold is 60
- Pre-filter
- passed：LLM驱动的数据质量Agent及RAG实现细节
A model scores each item twice, independently, against one written standard, out of 100. An item is admitted only when the two scores add up to twice the threshold. The threshold is set per source tier.
Source: AWS Machine Learning Blog · aws.amazon.com