顶级医疗保健提供商利用 Pachyderm 可扩展的数据驱动机器学习管道，从海量临床数据中获取切实可行的医疗见解
公司规模
Large Corporate
地区
- America
国家
- United States
产品
- Pachyderm
技术栈
- Artificial Intelligence
- Machine Learning
实施规模
- Enterprise-wide Deployment
影响指标
- Productivity Improvements
- Cost Savings
技术
- 分析与建模 - 机器学习
- 分析与建模 - 大数据分析
适用行业
- 医疗保健和医院
适用功能
- 产品研发
用例
- 预测性维护
- 远程资产管理
服务
- 数据科学服务
关于客户
该客户是美国顶级营利性医疗管理提供商之一，其附属计划覆盖了八分之一的美国人的医疗服务。他们的使命是成为医疗福利领域最具创新性、最有价值和最具包容性的合作伙伴。该公司拥有一支专门的人工智能团队，他们希望利用尖端人工智能来获取长期见解，并从索赔和电子健康记录数据中做出更详细的健康预测。数据存储库非常庞大，拥有超过 50 TB 的数据，涵盖了该公司在美国各地的数千万会员。他们正在挖掘这些数据，根据特定患者特征的过去结果来确定治疗效果。
挑战
美国顶级营利性托管医疗服务提供商之一，其附属计划覆盖八分之一的美国人，希望利用人工智能 (AI) 获取长期洞察，并从索赔和电子健康记录数据中做出更详细的健康预测。其数据存储量非常庞大，超过 50 TB 的数据覆盖了该公司在全美数千万会员。他们正在挖掘这些数据，以根据特定患者特征的过往结果确定治疗效果。但是，将这些潜在的洞察交到医疗服务提供商手中是一项挑战。在实验室中进行小规模实施是一回事，大规模提供机器学习则是另一回事。当工程主管加入 AI 团队时，他们拥有一个基于 Apache Airflow 的非常复杂的数据传输管道。虽然它可以运行，但它一次只能扩展到一个管道或容器实例之外。
解决方案
该医疗保健提供商转向了 Pachyderm，这是一个数据层，它允许机器学习团队将其 ML 生命周期投入生产并进行扩展。借助 Pachyderm 业界领先的数据版本控制、管道和谱系，团队可以获得数据驱动的自动化、PB 级可扩展性和端到端可重复性。Pachyderm 提供了高效扩展 AI 团队的 ML 处理所需的并行性和数据处理能力。重要的是，虽然该公司拥有数百万条患者记录，但在任何给定时间只有一小部分是相关的，而 Pachyderm 的增量性通过仅处理发生变化的数据子集而不是整个患者群体，节省了大量的时间、金钱和资源。借助 Pachyderm，团队能够任意划分表数据以仅捕获单个成员的事件 - 有效地创建封装特定成员所有事件的单个成员对象。Pachyderm 不仅并行处理这些记录，还自动仅处理包含新信息的记录，从而在降低成本的同时提高规模和速度。
运营影响
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