通过PayPal Cosmos.AI平台扩展PayPal的人工智能能力

By Jun Yang, Zhenyin Yang, and Srinivasan Manoharan, based on the AI/ML modernization journey taken by the PayPal Cosmos.AI Platform team in the past three years.

作者：Jun Yang, Zhenyin Yang, and Srinivasan Manoharan，基于PayPal Cosmos.AI平台团队在过去三年中进行的AI/ML现代化之旅。

Source: Dall-E 3

来源：Dall-E 3

AI is a transformative technology that PayPal has been investing in as a company for over a decade. Across the enterprise, we leverage AI/ML responsibly to address a wide range of use cases — from fraud detection; improving operational efficiencies; providing personalized service and offers to customers; meeting regulatory obligations, and many more things.

AI是PayPal作为一家公司在过去十年中一直在投资的一项变革性技术。在整个企业中，我们负责任地利用AI/ML来解决各种用例，包括欺诈检测、提高运营效率、为客户提供个性化服务和优惠、满足监管义务等等。

To accelerate PayPal’s innovation and deliver incredible value to our customers through technology, we are working to put the innovative power of artificial intelligence into the hands of more employees across different disciplines and accelerate time-to-market for building and deploying AI/ML powered applications, in service of our customers and in alignment with our Responsible AI principles. The blog below details a key internal platform that is helping us do this: PayPal Cosmos.AI Platform.

为了加快PayPal的创新并通过技术为我们的客户提供令人难以置信的价值，我们正在努力将人工智能的创新能力交到不同领域的更多员工手中，并加快构建和部署AI/ML驱动的应用程序的上市时间，以服务于我们的客户，并与我们的负责任AI原则保持一致。下面的博客详细介绍了一个关键的内部平台，即PayPal Cosmos.AI平台。

**AI/ML Platform: The Enterprise Approach
**Over the years, many engineering systems and tools have been developed to facilitate this practice at PayPal, addressing various needs and demands individually as they emerged. Several years ago, as we began to expand AI/ML across all core business domains, it became increasingly evident that the prevailing approach of having a collection of bespoke tools, often built and operated in their own silos, would not meet the needs for large scale AI/ML adoptions across the enterprise.

**AI/ML平台：企业级方法
**多年来，PayPal开发了许多工程系统和工具，以促进这种实践，根据不断出现的各种需求和需求分别解决。几年前，当我们开始将AI/ML扩展到所有核心业务领域时，越来越明显的是，拥有一系列定制工具...