Post by Alvarez & Marsal

The next installment of our Edge AI series reframes the operating model. In Part 6, Yannick Gablin lays out how operating models must evolve to win at the edge. Industries shift from cloud‑first and OT/IT silos to edge‑first execution with local agentic AI, converged teams, decentralized MLOps “at the foot of the machine,” and zero‑trust by design. Telcos move beyond “dumb pipes” to edge‑native orchestrators—monetizing APIs, scaling MEC, and automating provisioning—while hyperscalers pivot to distributed cloud‑edge hybrids with federated learning, sovereign extensions, and token‑based inference. Edge vendors themselves transform from silicon sellers to full‑stack platforms that bundle runtime, unified SDKs, MLOps, and OTA into portable, standardized toolchains. Download Section 6 for the full blueprint and come back for Part 7 as we turn to the execution levers that convert this model into measurable outcomes. https://okt.to/qgrex9 #EdgeAI #Strategy #OperatingModel #AMon

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