通过 AutoML 实现投资银行业务的创新
地区
- Asia
产品
- DataRobot
技术栈
- Automated Machine Learning
- Enterprise AI
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
- 金融与保险
适用功能
- 商业运营
服务
- 数据科学服务
关于客户
TC Capital 是一家领先的泛亚精品投资公司，专门从事并购和协议资本投资。该公司由首席执行官 Tommy Tan 领导，他在亚洲投资银行业拥有 30 多年的经验。TC Capital 致力于利用尖端技术和数据来改进其估值方法。他们拥有一个庞大的数据集，其中包含来自 43,000 家公司的信息，每家公司都有 560 个变量。该公司还在开发一款名为 CeeSuite 的应用程序，帮助高管对上市公司和私营公司进行估值。
挑战
Tommy Tan 是 TC Capital 的首席执行官，该公司是一家领先的泛亚精品投资公司，专门从事并购和协商资本投资。他对投资银行使用的传统公司估值方法感到不满。这些方法包括比较过去的并购、查看类似公司的股票市场估值以及折现现金流模型，这些方法需要大量人工，并且存在很高的人为错误风险。它们还可能导致高度主观的估值。Tommy 和他的团队希望建立自己的估值方法，这种方法既能利用尖端技术，又能充分利用当今银行家可用的大量数据。
解决方案
Tommy 和他的团队转向 DataRobot 的自动化机器学习和企业 AI。他们可以访问一个大型数据集，其中包含来自 43,000 家公司的信息，每家公司有 560 个变量。TC Capital 花了九个月的时间才收集到这个数据集。借助 DataRobot，他们能够自动处理这个大型数据集并生成数十个高质量、可靠的模型，这些模型提供了高度准确的估值。在回测中，这些模型比市场高出近 3 倍。DataRobot 的预测非常一致和准确，以至于 Tommy 在估值委员会投票时很快就依赖这些估值。TC Capital 还推出了一款应用程序 CeeSuite，该应用程序利用机器学习和数据科学帮助高管对上市公司和私营公司进行估值。
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