The knowledge engineering imperative

2026

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AI-generated summary

1) Knowledge engineering is essential for organizations to effectively leverage agentic AI and unlock its full potential for data-driven decision-making and competitive advantage.
2) This document explores the imperative of knowledge engineering, its business case, and the key elements required for its implementation, including semantic layers, ontologies, and knowledge graphs.
3) It provides actionable recommendations for organizations to transition to a knowledge engineering framework, emphasizing cross-disciplinary collaboration, unified governance, and prioritizing context and relevance.
Tags: knowledge engineering, AI, data management, agentic AI, business intelligence

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