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Heetch's Elastic AI Strategy Development with Dataiku
技术
- 分析与建模 - 机器学习
- 平台即服务 (PaaS) - 应用开发平台
适用行业
- 水泥
- 教育
适用功能
- 仓库和库存管理
用例
- 欺诈识别
- 交通模拟
服务
- 云规划/设计/实施服务
- 数据科学服务
挑战
五年过去了，数据仓库的成本逐渐失控，随着数据量的增长，性能也受到了影响。该公司需要找到一种解决方案，让组织中的任何人都可以处理大量数据，同时确保优化资源分配。
2019 年，Heetch 选择 Dataiku 作为他们构建数据管道和处理原始数据的单一平台，并与 Looker 配合使用，以实现这些流程的无缝可视化和探索。
客户
希奇
关于客户
Heetch是一家成立于 2013 年的法国公司，已迅速发展到 250 名员工，他们团结在一个目标上：通过提供流畅的用户体验，让移动变得更便捷。自推出以来，该公司已经从司机、乘客、全球运营等方面收集了大量数据，但它很难扩大其实际利用这些数据的能力。
解决方案
由于 Dataiku 与主要云供应商的托管 Kubernetes 服务的原生集成，Heetch 能够非常快速地集成他们的 AWS EKS 集群，并从他们的数据中看到了巨大的价值增长。团队现在可以轻松卸载资源密集型工作负载，例如大型 Python 和 R 作业，并利用 EKS 集群分配计算和运行 Spark 作业。
使用 Dataiku 意味着任何 Heetch 员工都可以使用和访问此功能，无论他或她在分布式计算方面的知识如何——Dataiku 抽象了复杂性。
最终，Dataiku 让 Heetch 不仅改变了利用弹性资源的能力，而且提升了其整体 AI 成熟度
运营影响
数量效益
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