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TCS and Qualcomm Collaborate to Develop AI-Driven Smart, Sustainable Capabilities for Industries


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Tata Consultancy Services (TCS), a global leader in IT services, consulting, and business solutions, operating a Global Delivery Centre in Letterkenny, Ireland, has partnered with Qualcomm to set up the 'TCS Innovation Lab', a space for co-innovation with Qualcomm in Bengaluru, India.
TCS and Qualcomm will co-create smart, scalable, and sustainable Edge AI capabilities utilising Qualcomm platforms for industries moving towards a software-driven approach to make their systems more efficient and resilient in the lab. The co-innovation lab will enable the creation of customised low-cost solutions that can be deployed on intelligent devices, on location and in real time to streamline processes at large enterprises.
Located in India's start-up and innovation capital, Bengaluru, the lab will be part of the IoT-focused Bringing Life to Things Network lab. The lab, which is equipped with 5G private network infrastructure and other hi-tech network and equipment, will develop capabilities for sectors that need agile IoT solutions, such as security and surveillance, healthcare, smart infrastructure, and manufacturing.
With its strategic location and advanced infrastructure, the lab is designed to support the rapid prototyping, experimentation, and large-scale implementation of Edge AI capabilities built on a Software Defined Everything (SDx) approach.
Savi Soin, Sr. Vice President & President, Qualcomm India, said, "Our collaboration with TCS marks an important step in bringing practical, real-time Edge AI solutions to industries that are rapidly evolving. The TCS Innovation Lab will serve as a space where advanced AI and connectivity meet real-world challenges. Together, we aim to develop solutions that are cost-effective, efficient, scalable, and tailored to the needs of enterprises looking to modernise and grow in a software-defined world."
Enterprises across sectors need to develop and deploy intelligent devices that can autonomously make decisions to run processes efficiently, creating a rise in demand for smart, compact, energy-efficient and high-performance self-healing devices. TCS shall leverage advanced Edge AI and SDx capabilities that are hardware-agnostic, highly configurable, secure, and service-oriented.
These will help global enterprises build robust, agile systems that adapt quickly to changes in industry ecosystems and business processes. The proposed solutions shall find applications in medical devices, smart handhelds for controlling industrial processes and machinery, smart infrastructure and advanced safety and surveillance mechanisms. Running TCS' SDx capabilities on Qualcomm Technologies' Edge AI-enabled System-on-Chips will connect the physical and digital worlds more seamlessly.
V Rajanna, Business Group Head, Technology, Software and Services, TCS, said, "We are excited to announce the launch of a state-of-the-art co-innovation lab focused on advancing Software Defined Everything (SDx) and Edge AI platforms. This lab will drive the development of next-generation solutions for diverse applications - including intelligent medical devices, smart industrial handhelds, and advanced safety and surveillance systems. TCS remains committed to investing in innovation and harnessing the power of AI to help enterprises unlock greater agility, efficiency, and long-term business value."
The latest collaboration between TCS and Qualcomm Technologies, Inc., builds on the large transformational projects carried out by both companies across engineering services, including silicon solution design and IT support. Leveraging this collaboration with Qualcomm Technologies, TCS recently developed a real-time smart visual anomaly detection capability for material inspection for a large automotive manufacturer.
The NextGen approach processes live camera feeds to scan for surface defects for industrial, aerial and terrestrial inspections. It identifies even the tiniest imperfections on various surfaces, including steel and painted sur...
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