AI is Cleared for Takeoff in Aviation – Are We Ready?
The aviation industry is seeing record demand, yet it faces a complex web of challenges — from operational costs and workforce gaps to infrastructure strain. Enter AI. A recent article by our Aviation & Transportation team (Stefan Raab & Violeta Croce) explores how AI is reshaping the skies — from predictive maintenance and passenger flow optimization to real-time threat detection and data-driven decision-making. With Equinix interconnection at the core, airlines and airports can build the digital foundation to scale these innovations securely and efficiently. >> Check out the full blog here Which AI use case in aviation do you think will scale fastest? How do you see interconnection enabling real-time analytics at the edge in your industry? What’s the biggest challenge to deploying AI-powered operations at scale? 🚀 Let’s discuss how we’re turning runway complexity into opportunity.AI Chaos or AI Clarity? The Case for Centers of Excellence
As AI adoption accelerates, many enterprises are facing the same pitfalls we saw in early cloud rollouts: disconnected teams, duplicate stacks, and unpredictable costs. This latest article from the Equinix team (Kaladhar Voruganti-Senior Business Technologist & Aaron Delp-Director, AI Technical Solutions) introduces a compelling case for AI Centers of Excellence (CoEs) — not as a buzzword, but as a strategic framework to ensure: Centralized governance over AI models, data access, and security Infrastructure optimization to avoid redundant clouds and egress fees Predictable costs and low-latency performance for AI inference Alignment across functional, technical, and business teams 📌 What stood out: Equinix uniquely supports this model by providing proximity to clouds, data hubs, and private AI clusters — all while respecting global data residency and privacy needs. >> Check out the full blog here Is your organization centralizing or decentralizing AI initiatives right now? What challenges have you seen with shadow AI stacks? Where does your AI run best — cloud?
