Provectus > 实例探究 > 通过托管 MLOps 和 AI 服务加速 AI 图像识别

通过托管 MLOps 和 AI 服务加速 AI 图像识别

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技术
  • 分析与建模 - 机器学习
  • 应用基础设施与中间件 - 事件驱动型应用
适用行业
  • 水泥
  • 建筑与基础设施
适用功能
  • 维护
  • 产品研发
用例
  • 计算机视觉
  • 施工管理
服务
  • 数据科学服务
  • 培训
关于客户
Earth.com 是关注地球和环境并希望做出改变的用户的首选互联网目的地。 EarthSnap 是一款首创的应用程序,使用户能够通过手机摄像头识别所有类型的植物和动物物种。
挑战
Earth.com 希望加速其人工智能驱动的图像识别应用程序 EarthSnap 的开发和交付。他们希望实现应用程序的机器学习基础设施的现代化和自动化,以便更轻松地部署新模型并降低管理成本。
解决方案
Provectus 通过一系列活动实现了 Earth.com 的目标。他们构建了完全自动化的端到端机器学习管道,以促进新模型版本的部署。 Provectus 还发起提供托管人工智能服务,其中包括机器学习基础设施维护、模型监控和再培训、数据质量监控和故障排除。
运营影响
  • Provectus helped Earth.com to get EarthSnap back on track. In three months, they designed, built, and implemented fully automated, end-to-end ML pipelines for real-time CV models. The pipelines made ML workflows more observable and facilitated the deployment of new versions of the models, gradually improving and extending them by adding recognition of new species. The enhancements helped Earth.com to reduce engineering heavy lifting and minimize administrative costs. Now, with all components of EarthSnap modernized, Earth.com is ready for future expansion. As part of Managed AI Services, Provectus reduced the infrastructure management overhead, established well-defined SLA and processes, ensured 24/7 coverage and support, and increased overall infrastructure stability, including production workloads and critical releases. They initiated a series of enhancements to deliver their Managed MLOps Platform and improve ML engineering. By collaborating with Provectus, Earth.com was able to release the EarthSnap application on both the Appstore and Playstore ahead of schedule.

数量效益
  • Fully automated, end-to-end ML pipelines delivered in 3 months

  • Flexible and easily customizable ML solution for faster, at-scale ML

  • Reduced heavy lifting and minimized administrative costs project-wide

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