Forging India's Semiconductor Destiny: TCS' Vision for Al-Driven Innovation

As we see a surge of activity in the semiconductor space, TCS has strategically positioned itself to cover the entire chip value chain, from R&D to end-use applications like automotive and healthcare. In an exclusive interview with Dataquest, Sreenivasa Chakravarti, Vice President, IoT and Digital Engineering of TCS discusses the company's two-decade journey in the semiconductor space, highlighting its role in designing, validating, and deploying chips across various sectors. The conversation reveals how TCS has contributed to faster chip development cycles through software-driven validation and product lifecycle management.

- Punam Singh

Additionally, he delves into how TCS is leveraging cutting-edge technologies such as AI and machine learning in semiconductor design and manufacturing. With strategic partnerships with global semiconductor giants like Intel and NVIDIA, TCS is driving innovation in AI-enabled chipsets for autonomous driving, IoT, and industrial applications. The discussion also touches on India's position in the global semiconductor industry, the challenges it faces in scaling, and the growing importance of collaboration between startups and industry leaders to address the skill and technology gap. Excerpts:

Could you describe TCS's journey in chip design over the past 22 years?

TCS has had an extensive journey in chip design, spanning across the entire value chain, from research and development to manufacturing and application deployment. Initially, our focus was on IT solutions for chip design, such as lab systems and lifecycle management. Over time, TCS began working more intensively in product lifecycle management, sustaining engineering, and chip validation. This journey has evolved with TCS contributing to everything from automation in manufacturing to software-driven validation and testing for chip manufacturers, helping them achieve faster time-to-market. Moreover, TCS plays a crucial role in embedding chips into various industries-automotive, medical, and retail-ensuring optimized applications and market expansion.

AI and machine learning are the pulse of today's tech industry. How do they influence the semiconductor space?