AI in the enterprise: data fabric as the backbone of value
MIT Technology Review curates a perspective that data fabric is foundational to scalable AI in business. The piece argues that as organizations deploy copilots, agents, and predictive systems across finance, supply chains, and HR, the quality and architecture of data become the limiting factor for realized value. The article references research suggesting that by 2025, half of companies used AI in at least three business functions, making data governance, lineage, and interoperability more critical than ever. The author underscores that a robust data fabric is not just about data integration; it’s about enabling trusted, accessible, and governed data across teams and functions, which in turn empowers AI systems to act with confidence and safety. The takeaway for practitioners is clear: invest in data infrastructure, metadata management, and governance to unlock AI’s full potential in the enterprise.
Context: The piece frames data fabric as a strategic enabler for AI-driven transformation rather than a supporting technology, reinforcing the need for architecture-level thinking in AI deployments.