CIOs & AI Leaders - AI Infrastructure Day-2 Ops & Costs

I am working on a CIO&Leader (ET Edge) cover story themed around "𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 𝗳𝗼𝗿 𝗔𝗜". Most AI infrastructure talk stops at the build or the buy. We're interested in what happens after the pilot: running AI in production, on a budget, under regulation, with someone accountable when it fails. 𝗧𝗵𝗿𝗲𝗲 𝗶𝗱𝗲𝗮𝘀 𝘄𝗲 𝘄𝗮𝗻𝘁 𝘁𝗼 𝗲𝘅𝗽𝗹𝗼𝗿𝗲: 1. Where AI runs, and how readiness is judged before a pilot gets capacity 2. What you can see once it's live, and what it really costs 3. Who owns it on day two: model retirements, agent identity, compliance clocks We're looking for end-user businesses from: • 𝗥𝗲𝗴𝘂𝗹𝗮𝘁𝗲𝗱 𝗕𝗙𝗦𝗜 • 𝗠𝗮𝗻𝘂𝗳𝗮𝗰𝘁𝘂𝗿𝗶𝗻𝗴 𝗮𝗻𝗱 𝗶𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗮𝗹 • 𝗜𝗧 𝘀𝗲𝗿𝘃𝗶𝗰𝗲𝘀 𝗮𝗻𝗱 𝗚𝗖𝗖𝘀 • 𝗣𝗵𝗮𝗿𝗺𝗮 𝗮𝗻𝗱 𝗵𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲 • 𝗥𝗲𝘁𝗮𝗶𝗹 𝗮𝗻𝗱 𝗰𝗼𝗻𝘀𝘂𝗺𝗲𝗿 • 𝗔𝗣𝗜-𝗳𝗶𝗿𝘀𝘁 𝗮𝗻𝗱 𝗰𝗹𝗼𝘂𝗱-𝗼𝗻𝗹𝘆 𝗲𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲𝘀 • 𝗠𝗶𝗱-𝗺𝗮𝗿𝗸𝗲𝘁 CIOs, CTOs, CISOs, CFOs and AI leaders, we'd like to hear from you, especially on what stalled and what you reversed. (Note: As this story focuses on end-user experience, we will not be taking vendor quotes, and we thank you for your understanding.) Please reach out to [email redacted] #AIInfrastructure #EnterpriseAI #CIO