L&T Technology Services, a leading global pure play engineering services provider has announced worldwide launch of smart manufacturing based on Microsoft Azure cloud platform.
The two companies will further consolidate their existing global alliance by setting up a joint Digital Industrial Transformation Applied Innovation Centre for shared enterprise customers.
The Digital Industrial Transformation Applied Innovation Centre will showcase how the Microsoft AI platform, Azure IoT, Microsoft Cognitive Services and Azure Machine Learning power LTTS’ globally proven cutting edge digital solutions in Smart Manufacturing, Smart Asset Performance Management and Smart Buildings.
Together, both companies have been co-investing, engineering and delivering a strong global business pipeline for Digital Industrial & Engineering solutions across US, Canada, UK, Western Europe, Middle East, Asia Pacific, Japan and India.
“The industrial landscape is witnessing disruption with digital innovation enabled by hyper-scale, secure, cloud based solutions tapping into the Microsoft AI platform, Microsoft Azure IoT, Azure Machine Learning & Microsoft Cognitive Services. LTTS is harnessing all these capabilities to drive digital disruption i.e. Digital Engineering, Smart Manufacturing, and Perceptual Engineering. Microsoft and its Azure cloud platform perfectly align to our objectives to deliver Digital Industrial & Engineering solutions & services that help our shared customers thrive in the digital age,” said Amit Chadha, President, Sales & Business Development and Whole-Time Director, L&T Technology Services.
Rimes Mortimer, General Manager of Applied Innovation, Worldwide, Microsoft said, “Our work with L&T Technology Services and the development of their solutions based on Microsoft Azure has been driven by customer demand. Azure customers will benefit from LTTS’ expertise in Digital Industrial and Engineering Transformation, and through the integration with other Azure services, such as Microsoft Azure IoT, Microsoft Cognitive Services and Azure Machine Learning.”