Building A Data Foundation for AI Readiness in Manufacturing
Artificial intelligence (AI) is no longer optional in smart manufacturing. It's a competitive necessity. But successful AI doesn’t start with algorithms. It starts with clean, contextualized, and accessible data. This comprehensive technical guide is your roadmap to building an AI-ready data foundation that unlocks the full potential of your industrial operations.
What You’ll Learn
This guide offers Digital Manufacturing Leaders and OT/IT Solution Architects a practical framework for building a modern data backbone that powers predictive maintenance, real-time quality control, autonomous operations, and more.
You’ll learn how to:
Set the Vision: Understand why data foundations are the key to AI success
Architect for Data Liquidity: Unify OT and IT data at enterprise scale
Engineer Data Quality: Apply standardization and contextualization best practices
Govern with Confidence: Manage data as both a product and a protected asset
Operationalize & Scale: Move from pilot projects to AI-driven, self-optimizing plants
Chapters
Why Data Foundations Matter for AI in Manufacturing
Data Quality, Standardization, and Contextualization
Enabling a Scalable Industrial Data Architecture
Data Governance and Metadata Management
The Roadmap to AI-Readiness
Conclusion: The Path Forward
Whether you’re just starting your journey or scaling across facilities, this guide delivers actionable strategies to accelerate AI readiness and digital transformation.
Ready to future-proof your manufacturing data? Download the guide now to start your journey towards scalable, AI-ready manufacturing operations.
