In the rapidly evolving manufacturing sector, robust data governance and infrastructure are essential for scaling advanced technologies such as machine intelligence, predictive analytics, and artificial intelligence. Without substantial investment in data governance, the integrity, quality, and security of data can be compromised, rendering these applications ineffective and unreliable. Poor data governance hinders decision-making and leads to the use of subpar data, significantly undermining the potential benefits of AI and other emerging technologies. Effective data governance ensures the seamless sharing and interoperability of product data across the entire lifecycle, from supply chain through manufacturing and operational environments. By establishing best practices, methods, and architectures, organizations can fully harness the potential of emerging technologies. This drives industry transformation through improved decision-making, operational efficiency, and innovation. Consequently, investing in data infrastructure and governance is crucial for realizing the true value and scalability of AI, leading to significant advancements in manufacturing processes and outcomes.