November 2, 2025
November 2, 2025
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โจ A single model, trained on last yearโs data
โจ Hard-coded thresholds that ignore real-world variability
โจ Alerts that say somethingโs wrong, but never tell you why
โจ Hours of manual digging just to understand what happened
โจ Retrain months later โฆ repeat the cycle
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โจ Monitoring Agents: Automatically adjust baselines as conditions evolve.
โจ Domain-SME Agents: Ingest SOPs, manuals, and tribal knowledge to add real-world context.
โจ Correlation & Optimization Agents: Find root causes in real time by analyzing thousands of variables.
โจ Orchestrator Agent: Combines insight, recommended set-points, and confidence into one actionable message.
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Kudzai Manditereza is an industrial data and AI educator and strategist. He specializes in Industrial AI, IIoT, Unified Namespace, Digital Twins, and Industrial DataOps, helping manufacturing leaders implement and scale Smart Manufacturing initiatives.
Kudzai shares this thinking through Industry40.tv, his independent media and education platform; the AI in Manufacturing podcast; and the Smart Factory Playbook newsletter, where he shares practical guidance on building the data backbone that makes industrial AI work in real-world manufacturing environments. Recognized as a Top 15 Industry 4.0 influencer, he currently serves as Senior Industry Solutions Advocate at HiveMQ.