智能解决方案

预测性维护

预测性维护结合了机器学习软件,该软件可以通过分析数据来预测结果,并自动执行操作。预测功能使服务的提供商可以从传统的被动式和计划维护的业务模型转变为使用数据和分析,在问题变得严重之前就能识别问题,从而使技术人员可以在客户意识到问题之前进行干预。

OpenBlue Enterprise Manager

by Johnson Controls

We’re on a mission to make buildings smarter, healthier and more sustainable

Viana™ Vision Analytics

by meldCX

Deliver results faster with Viana™ vision analytics for physical spaces

TCS Equiptix

by TCS

Data monetization from connected products with new business models

Smart Industrial Operations

by Insight

Improve equipment health to optimize operations

StockView for Retail

by Neal Analytics

Reduce lost sales and improve customer experience

StockView for Healthcare

by Neal Analytics

Reduce medical supplies stock-out with AI-powered detection

Smart Spaces

by Hitachi Vantara

Helping cities and organizations become safer and smarter

MCM-100 DataConnect Pro

by Adlink

IoT solution that helps manufacturers of any size

IoT Service Hub

by Hitachi Solutions

Maximize operational efficiency with predictive-maintenance and analytics intelligence

FieldSight

by ELM FieldSight

Simplify compliance and reduce risk​

IoT-Predict

by ActionPoint

Condition monitoring​ and predictive-maintenance​

Predictive Maintenance

by Neal Analytics

Make factories smarter and more efficient

Production Yield Optimization

by Neal Analytics

Optimize control processes in changing environments

借助智能边缘合作伙伴计划获得业务优势

借助智能边缘合作伙伴计划获得业务优势

英特尔和微软希望展示和推广物联网合作伙伴及其基于由英特尔支持并连接 Microsoft Azure 物联网云服务的边缘设备硬件的解决方案。

如果您的边缘和云解决方案建基于英特尔物联网边缘设备并与 Microsoft Azure 物联网服务连接,而且已部署两个或多个终端客户,那么您可能有资格加入智能边缘联合营销计划。