"How to Create Uncontested Market Space and Make the Competition Irrelevant -- Traditional corporate wisdom tells companies to fight it out between themselves to win greater market share. A brave new strategic direction is changing this. Instead of battling in the bloodied red waters of the existing market space, why not move to the pristine blue waters of previously untapped markets? Don't compete with rivals - make them irrelevant. INSEAD Professors W. Chan Kim and Ren�e Mauborgne outline an exciting new strategy framework, opening a fresh and vibrant way to earn strong profitable growth and win in the future."
Enterprise AI adoption keeps running into the same wall: the moment sensitive data, model weights, or agent memory leave a tightly controlled environment, security teams lose visibility into what happens to them while the workload is actually running. Confidential computing exists to close that gap, and new research from ABI Research shows the technology has matured enough, across CPUs, GPUs, containers, and now agentic AI, to become a foundational requirement for enterprises building sovereign AI infrastructure: computing environments they control end to end rather than simply rent. Protection is Moving From CPUs to GPUs ABI Research finds that CPU-based confidential computing is closest to mass-market adoption, the product of years spent hardening chip-level isolation for general workloads. GPU-based confidential computing is now generating the strongest momentum, and for good reason. It addresses one of the largest unresolved gaps in AI security: protecting data and models while inf...