『Ontologies and Knowledge Graphs: Why Structure is the Next Data Frontier』のカバーアート

Ontologies and Knowledge Graphs: Why Structure is the Next Data Frontier

Ontologies and Knowledge Graphs: Why Structure is the Next Data Frontier

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Most organisations have made their data reliable. Far fewer have made it explain itself, and that distinction is becoming the one that separates organisations that can reason with AI from those that can only retrieve with it. In this episode of The Board in the Machine, Mario Thomas — Chartered Director and Fellow of the Institute of Directors — argues that the next frontier in creating durable AI value is structure: the ontologies and knowledge graphs that make the relationships between an organisation's customers, contracts, suppliers, and decisions explicit enough for a machine to reason over rather than merely summarise. Drawing on his own experience building an early knowledge graph from a regional newspaper archive in 1998, he shows why data quality and data structure answer two different questions, why the definitions encoded in a knowledge graph now carry the weight a chart of accounts has always carried, and why scalable proof under the FRC's 2024 Code and the Data (Use and Access) Act 2025 depends on structure rather than quality. This episode is for directors, chairs, and executives working out why their AI programmes stall, and what their data strategy assumes about structure. Read the full article at mariothomas.com
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