AI is changing how enterprises think about cloud architecture. Growing compute demands, cost pressures and data sovereignty requirements are driving renewed interest in hybrid approaches spanning public, private, edge, colocation and sovereign environments. CIO Dive's "AI Pushes Enterprises Back to the Drawing Board on Cloud" examines why enterprises are revisiting cloud plans to better support AI. Read the article ➡️

Cloud success is increasingly measured by the value it delivers, though wasted spend climbed as GenAI adoption accelerated. The Flexera 2026 State of the Cloud Report, based on responses from 753 cloud decision-makers, shows how hybrid estates, AI workloads, and centralized governance are reshaping cloud economics. ☁️ Read the article for the findings that matter most to your cloud strategy.

Nearly all enterprises say their networks are ready for cloud and AI, yet IT teams average 11.5 hours a week resolving connectivity issues. New DE-CIX research from Censuswide, covering more than 400 IT and infrastructure decision-makers in the US and UK, names latency, security vulnerabilities, and downtime as the leading cloud connectivity challenges, and finds 61% of enterprises already using private connectivity to clouds. 🔌 Read the article to see how direct interconnection changes what your network delivers for AI workloads.

The AI race is increasingly becoming an execution race. Giving employees access to AI is one thing. Embedding it into workflows in ways that measurably improve performance is another. MarketScale's "Top AI users are pulling 8.3x ahead, and GPU budgets are spreading everywhere" reports that the top 10% of enterprise AI adopters are generating 8.3 times more output per active user than typical firms. The article explores why workflow penetration, data foundations, coordination, and effective use of increasingly shared GPU resources may help explain the widening gap.