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Orange Microsoft to deliver IoT solutions that

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Orange Business Services and Microsoft are collaborating to deliver large-scale, end-to-end Internet of Things (IoT) solutions that boost the digital processes of companies in the manufacturing sector.
Enterprises can use the Orange modular IoT solution, Datavenue, strengthened by Microsoft Azure IoT Suite, to transition to Industry 4.0 and optimize the entire manufacturing value chain.
Through this collaboration, companies can take advantage of the combined expertise of Orange and Microsoft regarding data protection, as well as device and data management. This includes the opportunity to leverage Orange Business Services’ many IoT connectivity options, in particular LoRa.
Use cases range from supply chain and smart inventory management to digital operations, such as predictive maintenance, employee safety and facility and equipment management.
For its long-term customer e.l.m. leblanc, Orange delivered a customized IoT platform on Microsoft Azure, which provides a tailored solution for remote monitoring, along with curative and predictive maintenance. Subsidiary of the Bosch Group, e.l.m. leblanc manufactures gas boilers and water-heaters since 1932.
The company is a major player in the French housing and industrial markets for heating & cooling systems and hot water for sanitary use.
“Innovation is part of e.l.m leblanc’s DNA, continuously providing our customers with new services and more comfort. We have a vision of a connected world where every heating system optimizes its energy performance to protect the environment. This ambition is illustrated in the Optibox solution for our connected boilers. e.l.m. leblanc has fully relied on Orange Business Services’ expertise to develop this solution. Using the Azure Cloud allows for high-level scalability and efficient machine learning solutions with reasonable costs,” says Philippe Laforge, chief executive of e.l.m. leblanc.
The remote monitoring solution collects the boiler’s data and alerts technicians of any malfunction. This allows for more efficient maintenance intervention, with fine-tuned predictions on the probable causes of failure based on real-time data analytics. Preemptive alerts can also be raised by the platform through predictive maintenance algorithms. Benefits include optimisation of intervention processes, and increased end-customer satisfaction, thanks to innovative and responsive customer support.