AI is a once-in-a-generation technology that can enhance innovation, productivity, quality, and velocity while enabling new business capabilities. However, challenges like accuracy, hallucination, security, privacy, intellectual property concerns, and AI sprawl remain prominent.

Enterprises are seeking to develop AI roadmaps that deliver quick wins while averting pitfalls like "Silos of Intelligence" that resemble previous mistakes like “islands of information” and “no single source of truth”. In the process, they need to establish robust governance for data security and privacy, and ensure regulatory compliance. Central to this strategy is the creation of a "Single Source of Intelligence" to counteract fragmented AI systems.

Enter Cognitive Infrastructure. Cognitive Infrastructure is the backbone that helps enterprises to run AI applications. It comprises advanced hardware (e.g. Nvidia GPU), software, networking, and tooling for AI. Cognitive Infrastructure is a paradigm shift in IT infrastructure in that it can process structured and unstructured data and handle the manifold higher computing, storage, power and cooling requirements created by training of models, inferencing, finetuning and RAG (Retrieval Augmented Generation).