Achieving autonomy across a consumer-packaged goods (CPG) enterprise is captured in the industrial AI maturity pyramid, which outlines a progression from basic data integration and visualization to predictive analytics, prescriptive decision-making, and ultimately, autonomous operations. As organizations climb this pyramid, they adopt machine learning, real-time automation, and self-learning systems. Each stage requires not just technological upgrades but also cultural and structural transformation.
Unified Namespace emerges as a critical component for this type of seamless integration. Since it was first created in 2005 by Walker Reynolds, Unified Namespace (UNS) is a term that has gained traction among controls engineers and enterprise solution architects. UNS is a model, rather than a software, for how to structure, organize and access data across an entire enterprise.
Organizations are now beginning to recognize the importance of adoption and retention in realizing value. The integration of OCM into manufacturing applications consulting initiatives represents a paradigm shift and an acknowledgement that technology alone cannot drive transformation.
Without paying attention to this divide, companies trying to deploy Industry 4.0 initiatives will continue to suffer from siloed data that lacks the necessary, but unassigned, context to yield full value.
In today's digital landscape, harnessing data effectively and efficiently serves as the cornerstone for identifying losses and optimizing opportunities for transformative change. By embracing Production Performance Improvement (PPI), you can unlock the true power residing within your data.
How can viewing time as a currency offer value in manufacturing operations?
