The internet of things is already generating massive amounts of data, in all sectors. New players are emerging, offering structuring and storage of data from machines and a major issue stands out in the industrial field : working around and with these machines.
“Endings” for IoT
IoT Platforms exist now with very high service and security guarantees to store vast quantities of data in the Cloud. This also provides a model for structuring data for connected machines, which allows for the creation of ecosystems and new use cases.
GE Digital, an offshoot of General Electric already with a predicted turnover of around 6 billion dollars in 2015 is launching Predix.io – opening the GE ecosystem for developers. The platform is composed of “Assets” (equipment) and associated “Time-series”. Because the data is in “series”, the data storage is extended more horizontally and dynamically, which means requests and calculations can be optimised.
The Samsung SAMI Platform is loosely similar, consisting of “Device” and associated “Messages”. Web services enable users to recover data using “aggregates” or “histogram” (data organised by time interval).
Complementary platforms, such Heroku Entreprise, enable this data to be “processed” and to provide a customised IoT endpoint solution.
Machine Relationship Management (MRM)
This endings are open for various uses, and the industry has a major challenge to develop this information from machines, engines, robots, connected factories. The value goes through the transformation to other Clouds (CRM, ERP, ESN,…) or visualization and collaboration around these contexts “Machine-centric” (via Salesforce platform, for example).
Monitor and analyze a temperature curve, a set of measures, in the cloud, in mobility, working via a newsfeed, mentioning technical colleagues or engineers provides direct gain in the heart of the critical chain.
“Enterprise Asset Management (EAM), Social and IoT combine to create in 2016 a new class of applications, the MRM – Machine Relationship Management.”