Arrow Joins Siemens’ MindSphere Open IoT Operating System

As a member of MindSphere Partner Program, Arrow can provide market-ready solutions such as Retrofit, end-to-end asset tracking and smart city

Arrow Electronics has joined the Siemens’ MindSphere Partner Program to provide its clients industrial Internet of Things (IoT) solutions in order to solve their digital transformation challenges.

Siemens will train multiple technical staff through its MindSphere technical curriculum, a range of MindSphere applications in development, and a combined go-to-market pack to help customers with the IoT technology.

As a member of MindSphere Partner Program, Arrow can also provide market-ready solutions such as Retrofit, end-to-end asset tracking and smart city. These, combined with analytics services, are aimed to help in lowering barriers to begin a new project low.

Benefit the customers

Commenting on the development, Aiden Mitchell, Vice President – IoT global solutions, Arrow Electronics, said, “This arrangement with Siemens enables us to offer our customers leading industrial IoT solutions to solve their digital transformation challenges across their manufacturing enterprises. Arrow is well positioned to initiate and orchestrate all stages of industrial IoT projects, including hardware, software and technical as well as business services.”

Paul Kaeley, Senior Vice President – global partner ecosystem, Siemens PLM Software, said, “Arrow’s vision of IoT, ‘From Sensor-to-Sunset,’ fits perfectly with the transformative business opportunities of introducing Siemens’ MindSphere IoT operating system into client environments. This offers complete solutions enabling businesses to deploy and manage secure pre-connected intelligent sensors and high-end devices throughout their entire lifecycle globally.”

MindSphere Partner Program is a cloud-based and an open IoT operating system that is developed by Siemens to support a diverse IoT ecosystem of partners. The program connects products, machines, systems and plants, allowing businesses to use and access data generated by the IoT with advanced analytics.

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