Rick W / Thursday, April 16, 2026 / Categories: Artificial Intelligence Treating enterprise AI as an operating layer There’s a fault line running through enterprise AI, and it’s not the one getting the most attention. The public conversation still tracks foundation models and benchmarks—GPT versus Gemini, reasoning scores, and marginal capability gains. But in practice, the more durable advantage is structural: who owns the operating layer where intelligence is applied, governed, and improved.… Previous Article Making AI operational in constrained public sector environments Next Article Breaking Bottlenecks in Life Sciences R&D with AI Innovation - with Aziz Nazha of Incyte Pharmaceuticals Print 7 Tags: ModeModelAIIntel