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IBM > 实例探究 > IBM |使用云和机器学习来增强客户体验
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IBM | Using The Cloud and Machine Learning To Enhance Customer Experience

 IBM | Using The Cloud and Machine Learning To Enhance Customer Experience - IoT ONE Case Study
技术
  • 基础设施即服务 (IaaS) - 云计算
适用行业
  • 航天
服务
  • 云规划/设计/实施服务
挑战

客户体验是航空公司的关键竞争优势,并且越来越依赖于数字渠道。美国航空公司如何满足客户对即时信息和服务的需求?

客户
美国航空
关于客户
在这个具体案例研究中,客户是美国航空公司;然而,这种纸张的应用远远不止一位客户。该研究可用于航空航天和移动行业的所有人员。
解决方案

与 IBM 合作,将其一些面向客户的关键遗留应用程序迁移到 IBM Cloud 上的 VMware HCX,同时将它们转换为基于云原生的微服务架构,这使这家全球最大的航空公司能够更快地进行创新,以响应不断变化的客户需求。

收集的数据
Customer Satisfaction Score, Temperature, Wind Speed, Travel data
运营影响
  • Migrate: IBM’s comprehensive proposal addressed American’s immediate and long term operational concerns through a seamless migration of on-premise servers to IBM Cloud’s Infrastructure as a Service with VMware Cloud Foundation solution.

  • Transform: IBM also proposed to accelerate the transformation of American’s application development, organization and skills, based on its IBM Cloud Garage Method. As IBM and American jointly developed the new cloud-native apps in Cloud Foundry on IBM Public Cloud Platform as a Service, the old components would be retired.

  • Operate: The solution brings operations into the development squads, and leverages IBM’s Cloud Solutions Operations Center to provide 24-hour application support and management services, with the IBM team located both onsite at American’s location and at an IBM off-shore location.

相关案例.

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