DIGITAL SPOTLIGHT
INTELLIGENT INSIGHTS FOR INDUSTRIAL IOT
Many industries have undergone Digital Transformation processes , unlocking efficiencies and business benefits . Industrial environments are one such example , with IoT solutions now commonplace . But it ’ s important that organisations identify and leverage tools that will provide detailed insights from these technologies . Harshad Pingle , Product Manager for MindSphere , the Industrial IoT as-a-Service solution from Siemens , highlights the importance of putting Industrial IoT data in context , as well as how businesses can take immediate steps to begin seeing results .
Operations Insight ( OI ) is a MindSphere solution designed to enable businesses to contextualise Industrial Internet-of-Things ( IIoT ) data from connected assets in a way that allows meaningful analysis leading to vital insights . It can work with data from individual assets within a production line or scale to include enterprise-wide data streams .
The solution enables machine and production insights based on a seamless user experience leveraging contextualised data . It accelerates the realisation of common value-adding Industrial IoT use cases by using ‘ out-of-the-box ’ intuitive capabilities . It can be configured and extended easily for solution specific customisation at scale .
We spoke to Harshad Pingle , Product Manager for MindSphere , to find out more about the solution and how it is benefitting organisations .
Why is it important to put Industrial IoT data in context ?
Any business on a digitalisation journey knows that engaging with the Industrial IoT is not as simple as adding some sensors and data collection capabilities . It ’ s not hard to drown in the sea of your Industrial IoT data if you don ’ t have a solution that ’ s ready to accept it and put it to use . The structure of Industrial IoT data is different than that of relational structured data and index-
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