南非金融机构 Sanlam 利用人工智能吸引和留住更多客户
公司规模
Large Corporate
地区
- Africa
国家
- South Africa
产品
- DataRobot AI Platform
- AutoML
- MLOps
技术栈
- AI
- Machine Learning
- Cloud Computing
实施规模
- Enterprise-wide Deployment
影响指标
- Customer Satisfaction
- Productivity Improvements
技术
- 分析与建模 - 预测分析
- 平台即服务 (PaaS) - 数据管理平台
适用行业
- 金融与保险
适用功能
- 销售与市场营销
- 商业运营
用例
- 预测性维护
服务
- 数据科学服务
- 云规划/设计/实施服务
关于客户
Sanlam 是一家目标明确的金融服务集团，总部位于南非，业务遍及全球多个精选市场。自 1918 年成立以来，该公司一直致力于为利益相关者创造价值，迄今已有 100 多年历史，目前是非洲最大的非银行金融机构，业务范围覆盖 33 个非洲国家和 44 个全球国家。Sanlam 的使命是让一代又一代人拥有财务安全、富裕和自信。该公司使用数据分析来影响销售、提高客户保留率、帮助管理费用并支持关键战略计划。
挑战
Sanlam 是非洲最大的非银行金融机构，其存在的目的是让几代人拥有财务安全、繁荣和自信。然而，该公司在数据科学运营方面面临着挑战。他们使用的开源 AI 选项操作起来很麻烦，而且缺乏对业务利益相关者和合规性的关键可解释性。这阻碍了他们推动销售和客户保留等关键业务价值杠杆的能力。该公司需要一种更精简、更透明的 AI 解决方案，以帮助他们改善运营并实现更好的结果。
解决方案
Sanlam 决定实施 DataRobot AI 平台，该平台提供端到端自动化功能。该平台使他们能够加快和扩展面向数据科学家和精算师的 AI 工作。通过托管云环境，该公司能够使用该平台一流的 MLOps 功能，包括模型性能监控。该平台还提供多种 AutoML 部署选项，包括 JavaScript 嵌入方法以及 Sanlam 和 DataRobot 之间的 API 集成。借助 MLOps，他们可以监控生产中的模型是否存在数据漂移，并且可以更轻松地查看驱动每个模型的功能。通过了解这些底层数据点，Sanlam 能够向利益相关者提供必要的可解释性。
运营影响
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