AI adoption in manufacturing is accelerating, but scaling it remains a challenge.
More than half of AI projects fail to reach production, and data issues block 40% of initiatives.
This report reveals how CIOs can overcome fragmented, noncontextualized data and build a robust industrial data foundation that enables real AI value.
What you’ll learn
Download this report to learn how to:
✔ Break down data silos between IT and OT environments
✔ Build a unified data governance framework for scalable AI
✔ Establish a common data thread across manufacturing operations
✔ Improve data quality, observability, and metadata management
✔ Enable real-time, context-rich data for AI applications with MES in the loop
Key insights
✔ Industrial AI requires domain-rich, contextualized data to scale effectively
✔ Unified governance is critical to eliminate data inconsistencies and model drift
✔ Real-time data must be structured and contextualized to support reliable AI outcomes
This report is designed for:
