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Han Jiale's Industrial AI Direction: Finding a Task a Factory Will Actually Try

Industrial AI begins with site conditions, data and responsibilities as well as model selection. Beijing Daily mentioned Han Jiale's work involving cement, with limited public detail. This article proposes ways to select a first factory task and distinguish a controlled trial from production outcomes that cannot yet be promised.

Chinese edition published 23 Oct 2026 · 阅读中文原文 ↗

Source timingSource date: 2026-07-03; sources checked: 2026-10-23.

Beijing Daily client reporting in July 2026 mentioned Han Jiale's AI exploration in the cement industry. Limited technical disclosure does not establish headcount, specifications or particular customer results.

Start with an observable business problem

Our hypothetical starting point is organizing equipment-inspection records: who fills them in, who handles anomalies and what omissions affect. Information organization is easier to bound than taking over production control, but still requires customer permission to access records.

Include site staff in defining evaluation criteria

A data engineer may consider recognition accurate while site staff find it unusable because equipment IDs, shifts or responsible people are missing. Include these fields in samples and agree which errors must go to human review. Safety-related judgments must follow the customer's established professional procedures.

A small team must not replace professional accountability

Data organization, prompts and analysis interfaces can be deliverables, but a model demo alone cannot support promises of higher output or fewer accidents. Controlled-trial records and user feedback are useful evidence at this stage. This is market-entry analysis, not field investigation or validation of Han's particular project.

Further reading: OPC Founders.

Sources and editorial notes

AI-assisted research and writing, with editorial checks of public sources. The body is independent analysis, with sourced facts and hypothetical proposals distinguished. No interviews, financial audits or product tests were conducted. Official documents remain authoritative; their provisions have not been rewritten or replaced.

Source titles and publisher names are retained in their original language. Refer to the linked originals for official documents and current requirements.

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