Successful, Scalable Manufacturing AI Deployment Demands Data Preparation

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Summary
We have plenty of data. Most manufacturing sites have data come in from every machine, sensors scattered around facilities, and dozens of other sources. Actionable insights, on the other hand, 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.
This session will explore the importance of establishing trusted, structured data before applying AI. We will:
- Explore data overload and the risks of disconnected, siloed systems
- Show how MES can bridge raw data and AI-driven insights, providing the context needed for smarter, faster decision-making
- Share real-world examples that illustrate how manufacturers are using this approach to improve efficiency, reduce downtime, and minimize waste
Attendees will gain a practical playbook for adopting AI in their facilities successfully at scale, thanks to solid data practices.
Speaker