Dr. Osamah Ibrahiem (1st person on the right) presented at 2025 Smart Network SIG Workshop organized by IRTI Taiwan
Groundhog is proud to have Dr. Osamah Ibrahiem present “Networks That Think: AI-Driven Geolocation for Intelligent Open RAN Optimization” at the 2025 Smart Network SIG Workshop – AI RAN Future Opportunities and Strategic Deployment, organized by ITRI (Industrial Technology Research Institute) Taiwan.
As the telecom industry moves toward AI-native networks, AI RAN (Artificial Intelligence for Radio Access Networks) has become a central theme in 3GPP and O-RAN Alliance discussions. AI RAN represents a paradigm shift — transforming the way radio access networks are optimized, managed, and evolved through automation and data-driven intelligence. In this emerging landscape, geolocation intelligence plays a crucial role by providing the spatial awareness that enables machine learning models to make contextually informed and user-centric decisions.
Groundhog’s CovMo™ AI technology is designed precisely for this future. It transforms massive volumes of network data into location-aware intelligence, bridging the openness of O-RAN with the cognitive power of AI-RAN. By integrating advanced AI models with precise geospatial analytics, CovMo™ AI enables operators to dynamically optimize performance, enhance user experience, and predictively resolve issues before they affect network quality.
This AI-driven approach empowers operators to move beyond traditional KPIs and focus on experience-centric optimization — making networks not only more efficient, but truly intelligent.
As AI RAN continues to evolve under global standardization efforts, Groundhog remains committed to driving innovation at the intersection of geolocation, analytics, and AI-based automation. Our mission is to help operators unlock the full potential of intelligent, adaptive networks that think, learn, and evolve in real time.