As communication service providers (CSPs) face challenges such as declining margins, fragmented data, and complex multi-vendor environments, the adoption of generative AI promises transformative improvements in efficiency, cost reduction, and customer experience. However, realizing AI’s full potential requires overcoming significant obstacles, including data fragmentation, semantic inconsistency, and the need for contextually appropriate AI-driven actions.

Telecom-specific ontology provides a semantic framework that bridges these gaps by structuring data, encoding decision logic, and enabling actionable intelligence.

The paper outlines a three-tier AI technology stack—data, ontology, and AI applications—highlighting ontology’s pivotal middle role. It provides recommendations to CSPs for how to advance their AI initiatives using telecom-specific ontology, starting with domain-specific pilots to demonstrate value. The report highlights ontology’s advantages over generic frameworks, particularly in handling multi-layered networks, multi-vendor systems, and real-time decision-making at scale.

Ultimately, we explain why we see ontology adoption as foundational for CSPs aiming to lead in AI-driven telecom transformation.

This report is free to read, courtesy of sponsorship by Totogi – non-subscribers can click here to read the full report.