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AWS Describes Indegene’s LLM Data Quality Agent on NEXT UDP

1 reports 1 reporting sources Updated 2 hours ago

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Indegene built an LLM-powered Data Quality Agent into its NEXT Unified Data Platform on AWS. It recommends data checks and generates SQL and Python for human review, using metadata, profiling and anomaly results, existing rules, and internal and external knowledge bases. Indegene reports that the agent reduced rule creation from about 30 hours to about 4 hours per dataset, and cut new table onboarding from 2–5 working days to 2–4 hours.

Generated by AI from reports · Updated 2 hours ago

Latest development11/5 00:25 (UTC+8)
How Indegene Scales Enterprise Data Quality with an LLM AgentAWS Machine Learning Blog

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11/5
  1. AWS Machine Learning Blog
    How Indegene Scales Enterprise Data Quality with an LLM Agent

    AWS and Indegene describe a Data Quality Agent built into Indegene’s NEXT Unified Data Platform on AWS. It uses metadata, profiling, anomaly results, existing rules, and internal and external knowledge bases to recommend checks and generate SQL and Python for human review. Indegene reports that deployments reduced rule creation effort from about 30 hours to about 4 hours per dataset, while new table onboarding takes 2–4 hours instead of 2–5 working days.

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