Indegene 在 AWS 上构建 LLM 驱动的企业数据质量 Agent
原标题：How Indegene is modernizing and scaling enterprise data quality in life sciences
AI 摘要
Indegene 在 AWS 上为其 NEXT Unified Data Platform（NEXT UDP）构建了由大语言模型驱动的数据质量 Agent，可生成上下文感知的数据质量规则、进行验证并产出可直接运行的 SQL 与 Python 代码，且置于集中式人工审核治理之下。该方案面向生命科学行业，旨在解决技术规则与业务规则割裂、规则维护成本高、数据集接入慢等传统数据质量难题，帮助企业在规模化场景下提升数据质量并减少人工投入。
正文节选
How Indegene is modernizing and scaling enterprise data quality in life sciences This post is co-written with Shravan K S from Indegene Limited. Enterprise AI is creating new opportunities for life sciences organizations to improve decision-making across commercial, medical, market access, and other business functions. But the quality of every AI model, dashboard, and business insight depends on one thing: trusted data. As enterprise data grows across multiple platforms, pipelines, and business