1. [Home](https://vieox.com/) 2. [Insights](https://vieox.com/insights/) 3. Industrial AI Explore industrial ai # Connect AI for industry to an operating need. Connecting factory machines to AI begins with a focused operating question, accessible records and a clear understanding of the process. Identify who needs the answer and what would make the result useful. Begin with the context of the information, then explore evaluation and responsibility. These perspectives keep the people using and reviewing the result in view. Questions to begin with - Who owns the operating question? - How will a proposed result be evaluated? - Who can decide how that result is used? A useful route into the subject ## Start here. 1. [![Temperature and pressure instruments beside a process valve](https://vieox.com/assets/media/round7/article-operational-data-context-1536.webp)](https://vieox.com/insights/operational-data-context/) Operating information in context ### [Industrial data integration starts with operating context.](https://vieox.com/insights/operational-data-context/) Industrial data integration needs equipment identity, timing, units and dependable context so factory teams can use the same records for different decisions. [Read](https://vieox.com/insights/operational-data-context/) 2. [![A bearing-mounted sensor, industrial edge gateway and calibration instrument beside unlabeled measurement traces](https://vieox.com/assets/media/feedback-insights/article-industrial-ai-readiness-1536.webp)](https://vieox.com/insights/industrial-ai-readiness/) Measurement hardware and data-quality review before industrial AI ### [How to connect factory machines to AI: start with OT data](https://vieox.com/insights/industrial-ai-readiness/) Prepare factory machine data for AI through approved connectivity, production context, useful evaluation and clear responsibility for operating decisions. [Read](https://vieox.com/insights/industrial-ai-readiness/) Follow the question ## Industrial AI perspectives Search every perspective and reading series by question, topic or industry. The deeper series remain connected within their articles. 5 perspectives and guides Questions worth exploring [![Temperature and pressure instruments beside a process valve](https://vieox.com/assets/media/round7/article-operational-data-context-1536.webp)](https://vieox.com/insights/operational-data-context/) Operating information in context Perspective5 min read ### [Industrial data integration starts with operating context.](https://vieox.com/insights/operational-data-context/) Industrial data integration needs equipment identity, timing, units and dependable context so factory teams can use the same records for different decisions. - [Data & context](https://vieox.com/insights/topics/data-context/) - [Industrial AI](https://vieox.com/insights/topics/industrial-ai/) [Read Industrial data integration starts with operating context.](https://vieox.com/insights/operational-data-context/) [![A bearing-mounted sensor, industrial edge gateway and calibration instrument beside unlabeled measurement traces](https://vieox.com/assets/media/feedback-insights/article-industrial-ai-readiness-1536.webp)](https://vieox.com/insights/industrial-ai-readiness/) Measurement hardware and data-quality review before industrial AI Perspective5 min read ### [How to connect factory machines to AI: start with OT data](https://vieox.com/insights/industrial-ai-readiness/) Prepare factory machine data for AI through approved connectivity, production context, useful evaluation and clear responsibility for operating decisions. - [Industrial AI](https://vieox.com/insights/topics/industrial-ai/) - [Data & context](https://vieox.com/insights/topics/data-context/) [Read How to connect factory machines to AI: start with OT data](https://vieox.com/insights/industrial-ai-readiness/) [![Optical inspection camera over a machined part, with sample components, an edge device and review records](https://vieox.com/assets/media/feedback-insights/article-ot-governance-governing-industrial-ai-1536.webp)](https://vieox.com/insights/ot-governance/governing-industrial-ai/) Evidence for reviewing industrial AI findings Perspective4 min read ### [Give an AI finding a responsible route into the work.](https://vieox.com/insights/ot-governance/governing-industrial-ai/) Explore industrial AI governance through defined use, dependable inputs, evaluation, uncertainty, human responsibility and clear boundaries around OT actions. - [Data & context](https://vieox.com/insights/topics/data-context/) - [Industrial AI](https://vieox.com/insights/topics/industrial-ai/) [Read Give an AI finding a responsible route into the work.](https://vieox.com/insights/ot-governance/governing-industrial-ai/) [![A secured industrial cabinet in a clear maintenance aisle](https://vieox.com/assets/media/round7/article-ot-governance-ownership-access-and-change-1536.webp)](https://vieox.com/insights/ot-governance/ownership-access-and-change/) Ownership, access and change Perspective4 min read ### [Make responsibility visible when the record changes.](https://vieox.com/insights/ot-governance/ownership-access-and-change/) Define ownership, access and change responsibilities for industrial information, equipment mappings, operating definitions and cross-team reviews. - [Data & context](https://vieox.com/insights/topics/data-context/) - [Industrial AI](https://vieox.com/insights/topics/industrial-ai/) [Read Make responsibility visible when the record changes.](https://vieox.com/insights/ot-governance/ownership-access-and-change/) [![Equipment records and a sensor in an industrial planning room](https://vieox.com/assets/media/round7/article-ot-governance-1536.webp)](https://vieox.com/insights/ot-governance/) OT governance Perspective4 min read ### [OT data governance: make responsibility clear.](https://vieox.com/insights/ot-governance/) Explore OT data governance through information ownership, access, change, evidence and industrial AI, with responsibility close to operating decisions. - [Data & context](https://vieox.com/insights/topics/data-context/) - [Industrial AI](https://vieox.com/insights/topics/industrial-ai/) [Read OT data governance: make responsibility clear.](https://vieox.com/insights/ot-governance/) Browse by topic - [Production](https://vieox.com/insights/topics/production/) - [Maintenance](https://vieox.com/insights/topics/maintenance/) - [Quality](https://vieox.com/insights/topics/quality/) - [Operations](https://vieox.com/insights/topics/operations/) - [Data & context](https://vieox.com/insights/topics/data-context/) - [Industrial AI](https://vieox.com/insights/topics/industrial-ai/) [Browse every perspective](https://vieox.com/insights/#library) A conversation starts here ## Bring the question closer to your work. Tell us about the operating area, the people involved and what a clearer view would help them understand. [Start a conversation](https://vieox.com/contact/) [hello@vieox.com](https://vieox.com/contact/) Canonical: https://vieox.com/insights/topics/industrial-ai/ Publisher: VIEOX