India, Aug. 6 -- The first wave of engineering Artificial Intelligence (AI) centred on adopting large language models (LLMs), copilots, and generative AI across product design, engineering, and manufacturing. As organisations move beyond experimentation, however, the bottleneck is becoming less about choosing the right model and more about building the infrastructure that can deliver trusted, connected, and governed engineering data to AI systems.

This shift is expanding the role of digital infrastructure for engineering. AI workloads increasingly depend on cloud platforms, high-performance computing (HPC), enterprise networking, data governance, and information architectures capable of connecting engineering, operational, and business s...