The telecom industry is entering the era of AI-native telcos, where intelligence is no longer something we observe, but something we act on.
In this new model, telecom intelligence extends far beyond the network. Through APIs and open ecosystems, insights flow into business systems, partners, and customers in real-time. Assurance becomes the foundation, turning raw data into trusted, decision-ready intelligence. Closed-loop intelligence is the real inflection point. By continuously sensing, learning and acting, networks can optimize themselves, deliver superior user experiences, and unlock entirely new sources of value. As intelligence becomes more user-centric and intent-driven, the network can evolve from infrastructure into a growth engine.
At the heart of this shift is a simple question: how do we turn every network into insight, action, and revenue? Join us at MWC26 in Barcelona this March to explore how we are working with operators around the globe to make this vision a reality.
Mike Salfity
CEO
Ensuring Superior Roaming Experiences for EURO Cup 2024
CASE STUDY
Mobileum added 7 test units and 10 probes deployed across strategic locations in Germany, to enable operators to ensure reliable mobile network performance and seamless user experience despite extreme network load.
How to Build a Scalable Telecom Data Intelligence Business
INDUSTRY TREND
Monetizing telecom data at scale is not simply about access to large datasets. It requires the ability to convert raw, real-time network signals into reliable, actionable intelligence — while maintaining trust, privacy, and regulatory compliance.
Empowering Intelligent Session Control for a Tier-1 Operator
CASE STUDY
Explore how Mobileum automatically replaced the faulty value with the correct DNN/APN, and recovered over 2.5 million additional successful data sessions in just 1 month.
Stop Treating Revenue Assurance Like a Backlog, Run It Like a Risk Engine
INDUSTRY TREND
How can the telecom risk team turn signals into prioritized risks, map risks to controls, track ownership and response, and operationalize analytics with evidence and case workflows?
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