Q&A: Turning AI Data into Real Value

AI tools can capture huge volumes of manufacturing data, but many plants still struggle to turn that information into practical insights that actually move the needle on performance and business outcomes.

In this brief Q&A, Ryan McMartin explains how manufacturers can close the gap between raw AI-generated data and real-world value. He discusses how AI-enhanced MES data can clarify goals, track progress in real time, and help teams act faster on opportunities and bottlenecks across the operation.

The conversation focuses on practical ways to move from simply collecting data to using it to guide better decisions, align stakeholders, and make ambitious performance targets more achievable on the plant floor.