Discover how to evolve your network for AI in the next networking era

AI Readiness - one of the top priorities for the CEOs today. Is your Network AI Ready?

The AI readiness illusion: AI is one of the top priorities for global CEOs, who are increasingly mandating their IT teams to prepare the business for AI’s transformational impact. But the reality is that even after tackling their data silos and legacy tech, enterprises still struggle to support AI adoption, only 5% have achieved AI-readiness and the vast majority remain stuck between pilots and partial scale. One important – and often overlooked – factor why enterprises fail to scale AI is not model accuracy, insufficient data or compute constraints. It’s networks that cannot guarantee predictable performance across distributed systems, creating hidden operational risks as AI environments become more distributed and dynamic.

Enterprise networks must now enter a third era – following the physical network period (1990s-2000s) and the software-defined phase (2005-2025) – to leverage the new possibilities of AI models and agents. Make it happen, understand how, read the paper.