Has the value of data increased?

"It's no longer just about storing transactions or measuring volume and velocity. It's organising information into knowledge graphs that capture the deep context and relationships across an entire business. This allows AI to form precise connections between business records, customer interactions and operational processes. Systems evolve from simple keyword matching to semantic search, from answering questions to true reasoning, unlocking insights that were previously buried in fractured silos. The result? Data's value is measured by how effectively it powers reasoning and decision-making,"

"Here, it's not the model but the quality, context and accessibility of the data (and how it's governed, integrated and embedded into workflows) that creates value. Without this foundation, even the most advanced AI delivers unreliable or biased outcomes. Organisations t"

AI has shifted data value from mere storage and volume metrics to its capacity to enable reasoning and decisions through structured context. Information is being organized into knowledge graphs that map deep relationships across business records, customer interactions and operational processes. AI systems progress from keyword matching to semantic search and reasoning, revealing insights hidden in fractured silos. As foundation models become commoditized, competitive advantage depends on data quality, context, accessibility, governance, integration and embedding into workflows. Without strong data foundations, AI produces unreliable or biased outcomes, so organizations must prioritize data integration, governance and contextualization to realize trustworthy AI-driven value.

Read at Techzine Global