AWS explains Indegene's LLM-powered Data Quality Agent on AWS
Overview
AWS Machine Learning Blog published a post explaining how Indegene built an LLM-powered Data Quality Agent inside its NEXT Unified Data Platform on AWS. According to the post, the agent generates context-aware data quality rules, validates them, and produces ready-to-run SQL and Python code under centralized, human-in-the-loop governance.
The architecture uses Amazon Bedrock, Strands Agents, and Amazon Bedrock AgentCore, per the post. The source is AWS's own blog, so the description of the design comes from AWS rather than an independent review.
Written by AI from the articles below · updated Nov 4, 11:44 AM ET
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- AWS Machine Learning BlogOfficialAWS explains how Indegene built an LLM-powered Data Quality Agent on AWS
AIAWS explains how Indegene built a production-grade, LLM-powered Data Quality Agent within 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 code under centralized, human-in-the-loop governance. The architecture uses Amazon Bedrock, Strands Agents, and Amazon Bedrock AgentCore.
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