Successful, Scalable Manufacturing AI Deployment Demands Data Preparation
Manufacturers have no shortage of data, but AI needs more than raw input to deliver real value.
Most manufacturing sites have data coming in from every machine, sensors scattered around facilities, and dozens of other sources. However, actionable insights often remain out of reach.
Artificial Intelligence holds great promise for turning this data into value, but without a solid data foundation, AI efforts can easily fall short.
Manufacturing Execution Systems (MES) play a critical role in building that foundation by collecting, contextualizing, and organizing data across the shop floor.
Key Takeaways
- Establishing trusted, structured data before applying AI
- Gaining a practical playbook for adopting AI in facilities successfully at scale
AI needs more than raw input to deliver real value.
Author's summary: AI deployment requires proper data preparation.
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