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GumGum Optimizes Ad Targeting with AI and Cloud Infrastructure

 GumGum Optimizes Ad Targeting with AI and Cloud Infrastructure - IoT ONE Case Study
技术
  • 应用基础设施与中间件 - 事件驱动型应用
  • 基础设施即服务 (IaaS) - 云计算
适用行业
  • 水泥
  • 建筑与基础设施
适用功能
  • 物流运输
  • 产品研发
用例
  • 施工管理
  • 基础设施检查
服务
  • 云规划/设计/实施服务
挑战

GumGum 使用人工智能来检测上下文并只提供正确的广告。一篇关于烘焙趋势的文章将搭配一个糖霜品牌的广告。相反,暴力、药物滥用或其他 NSFW 图像等风险较高的内容将不会关联。这些配对需要大量的数据处理,而实时交付是它工作的唯一方式。

GumGum 需要一个解决方案来帮助他们使用现场实例并满足三个标准。公司需要节省资金,需要提供便于有限员工使用的托管服务,并且需要保证正常运行时间。

客户

口香糖

关于客户

GumGum是一个上下文优先的全球数字广告平台,它可以在不使用个人数据的情况下吸引人们的注意力。

解决方案

NetApp 的 Spot 也解决了 GumGum 的部署问题。 GumGum 通过 CodePlay 进行就地部署。 (就地部署意味着当部署组中每个实例上的应用程序停止时,将安装最新的应用程序修订版并启动并验证新版本的应用程序。)

运营影响
  • The use of Spot by NetApp has brought significant operational benefits to GumGum. The company has been able to manage its variable demand and high computing infrastructure needs more effectively. The ability to predict and preempt spot terminations has ensured the availability of applications running on these instances. The use of blue-green deployment has maximized capacity and performance, allowing for faster identification of errors. The use of Spot Ocean analytics has enabled GumGum to monitor and right-size its AWS instances, preventing wasted money from oversize instances and poor performance from undersize instances. Spot has also helped GumGum maintain insights into development costs, a typical shortcoming of a containerized development infrastructure.
数量效益
  • Saving of approximately $500K annually on infrastructure costs
  • 50% faster deployments with Spot's blue-green deployment
  • Cost savings from right-sizing AWS instances with Spot Ocean analytics

相关案例.

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