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L&T Technology Services, a provider of industry digital engineering solutions, announced a Digital Engineering Transformation partnership with Microsoft Corporation to deliver Microsoft Azure Engineering Solutions for global enterprises across industries. This strategic partnership between the two companies enables enterprises around the world to leverage L&T Technology's cutting-edge IP-led Digital Engineering solutions hosted on Microsoft's Azure enterprise cloud-first, mobile-first infrastructure.
L&T Technology Services' iBEMS (Integrated Building Energy Management Systems) framework will soon be available on Microsoft's Azure cloud platform for rapid global enterprise deployments that aspire for eco-friendly, "green" campuses and energy savings. Hosting this solution on Microsoft's hyper-scale Azure cloud service enables enterprises to deploy and manage energy consumption as well as carbon footprint for entire campuses, buildings and facilities leveraging the Internet of Things (IoT), Predictive Analytics and Machine Learning securely on the Azure cloud.
iBEMS is a smart campus/building framework that reportedly lowers energy bills, and cost of maintenance, while extending asset life for cities, campuses and buildings. This unique framework enables 'Net-Zero,' energy generation management and saving up to 40 percent in energy costs.
The Digital Engineering Solutions rolled out by L&T Technology Services and Microsoft will be used by enterprises across the Industrial, Medical, Transportation and Telecom and Hi-Tech segments. iBEMS on Azure will be commercially available in October.
Ralph Rio, ARC Advisory Group, commented, "The integration of Industrial IoT (IIoT), analytics and building information management systems (BIMS) provides new opportunities for lowering operating and energy costs while increasing occupant comfort in commercial buildings. The partnership with L&T Technology Services' iBEMS and Microsoft Azure promises to fulfill this opportunity."
Keywords: Energy Management Solution, Azure, Carbon Negative Footprint, Internet of Things (IoT), Predictive Analytics, Machine Learning, ARC Advisory Group.