Industrial AI starts with data readiness

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: