AI is a stack of predictive, prescriptive, and generative capabilities embedded in workflows to drive measurable outcomes like higher uptime, lower OPEX, faster cycle time, and better customer experience. It learns from telemetry, transactions, and text to forecast, diagnose, decide, and act. The highest value comes from closed-loop application of insights, where models trigger automated control actions and continuously learn from outcomes to self-improve. Success is judged by business KPIs, not model ...

From Issue: First Steps in AI for Demand Planning: What No One Tells You
(Winter 2025-2026)