Digit-AI: moving AI use cases from pilot to productionFewer AI pilots. More AI that actually runs.
A framework linking digital platforms, data architecture and AI models to prioritise and industrialise high-value use cases, applied first across the group’s China business.A framework for stopping weak AI ideas early and putting the strong ones into production.
- Organisation
- Global industrial machinery group
- Role
- Global Head of AI Enablement and Transformation · CDO APAC
- Period
- 2024 – present
- Setting
- Industrial machinery and process systems
What changed
- 17.2%efficiency improvement across the China business
- Tianjinpackaged as the replicable global site template
- Edge CVplant-edge computer vision for quality control
The brief
Own the group’s AI layer end to end, including the global use-case pipeline and the standard for taking use cases from concept to production, starting with the China business.
What was done
- Created Digit-AI, which connects digital platforms, data architecture and AI models into one path for prioritising and industrialising use cases.
- Completed Lighthouse-Factory digitalisation at the Tianjin site, the group’s second-largest: IIoT, MES, GenAI and ML, digital twins and plant-edge computer vision for quality control.
- Set up the APAC AI Innovation Lab in China as the origin point for group-relevant use cases.
- Turned China-proven patterns into a replicable global site template.
Scope
- EU AI Act
- ISO/IEC 42001
- MLOps
- Azure
- Computer vision
The same approach shapes the group-wide AI use-case pipeline and industrialisation standard that the global AI mandate now covers.