About
AITech Edition is the journal of enterprise AI: how large organizations choose, deploy, govern and pay for AI, reported for the leaders who make those calls.
What we cover
- AI Platforms & Models: The foundation-model and vendor landscape: releases, benchmarks, pricing, licensing, platform strategy.
- Enterprise Adoption & ROI: How large organizations deploy AI at scale: pilot-to-production patterns, case studies, cost and ROI data.
- AI Governance & Regulation: Policy, compliance, and risk as an enterprise-wide question: regulation, model risk management, data governance for AI.
- AI Infrastructure & Compute: Chips, cloud AI infrastructure, data platforms, MLOps/LLMOps, compute supply and cost.
- AI Leadership & Talent: The Chief AI Officer role and AI organizational design: staffing, build vs. buy, the executive AI playbook.
- AI Vendor & Market Moves: Funding, M&A, partnerships, earnings, and leadership moves among AI platform and infrastructure vendors.
How we report
Every story links to its primary source: the company announcement, the filing or the regulator. Performance figures are attributed to whoever measured them. When a vendor is in a story, it is there as evidence of a change in the market, and we say which buyers the change affects.
Who we are
AITech Edition is published by GTM Publications, alongside MarTech, SalesTech, FinTech, HRTech, CyberTech and HospitalityTech Edition.
Story tips, corrections and contributor pitches: use our contact page.
