客户案例 / 生命科学

2023 年

Merck 通过采用生成式人工智能解决方案,提供创新健康服务

Merck & Co., Inc.(Merck)是一家拥有 130 多年历史的全球制药公司,通过开发重要的药物和疫苗,为人类带来了希望。 

观看视频,了解 Merck 如何利用 Amazon Web Services(AWS)来解决制药行业的一个常见问题:误检。Merck 致力于更快、更安全地将拯救生命的药物送到客户手中。它从各种制造流程和检测机器中获取实时数据,然后对数据进行整理和整合。Merck 利用 AWS Glue 和 Amazon Kinesis 来获取、转换和整理近乎实时的数据,对这些数据进行分析,并将整合后的数据加载到 Amazon Redshift,然后供包括 Amazon QuickSight 在内的分析仪表板使用。Merck 的人工智能和机器学习(AI/ML)平台基于 Amazon SageMaker 构建,并使用 AWS DataSync 从多个站点的检测机器获取缺陷图像数据。Merck 使用生成式人工智能方法和生成模型,例如生成对抗网络(GAN)和变分自动编码器,为训练数据有限的复杂缺陷开发合成缺陷图像数据。 

Merck 通过采用 AWS 服务,改善了产品可用性,提高了产品产量,得以快速响应调查并执行根本原因分析和纠正措施,同时节省了大量的时间和成本。

使用的 AWS 服务

AWS Glue

AWS Glue 是一项无服务器数据集成服务,该服务简化了许多工作,包括挖掘、准备、移动、集成来自多个来源的数据,以对数据进行分析、用于机器学习(ML)或开发应用程序等。

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Amazon Kinesis

Amazon Kinesis 是一项完全托管的服务,可以经济高效地处理和分析任意规模的流数据。

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Amazon Redshift

Amazon Redshift 使用 SQL 在数据仓库、运营数据库和数据湖间分析结构化和半结构化数据,使用 AWS 设计的硬件和机器学习在任意规模提供最佳性价比。

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Amazon QuickSight

Amazon QuickSight 提供超大规模的统一商业智能(BI),助力数据驱动型组织腾飞。借助 QuickSight,所有用户都可以通过现代交互式控制面板、分页报告、嵌入式分析、自然语言查询,使用相同事实来源满足不同的分析需求。

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