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EarthSnap: Transforming AI Image Identification with MLOps & Managed AI
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
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。
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。
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
数量效益
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