News & Insights - NumoData

Why network complexity is outpacing network understanding - and what to do about it

Networks are more complex, more interconnected, and more critical than ever. The operators pulling ahead aren't just investing more - they're building the network understanding that makes AI trustworthy, automation reliable, and every operational decision faster and more confident.

Not all digital twins are equal: Inside the shift to semantic twins in telecom

Not all digital twins understand your network. As telecom complexity grows, the gap between twins that mirror data and twins that reason over it is becoming the difference between reactive operations and genuine autonomy.

Autonomous networks and the CX imperative: closing the gap between ambition and delivery

Autonomous networks promise to transform customer experience - but ambition and delivery are not the same thing. NumoData closes the gap between the two, giving CSPs the data foundation to make autonomous operations trustworthy and CX outcomes measurable.

60% of Telcos will abandon AI projects. Understanding is the missing foundation.

Network transformation is no longer a choice but a necessity. In the last decade, CSPs have effectively solved the “data collection” problem, but many operators today still struggle with the "data understanding” problem, because they have yet to turn vast complex data into a system that can understand dependencies, assess impact, and support automated decision-making with confidence.

How network intelligence unlocks real business value

At NumoData, we turn network complexity into actionable intelligence that reduces cost, creates revenue, and delivers efficiency - and we’ve proven it with some of the world's leading operators.

NumoData Launch Announcement

NumoData Launches as Independent Global Software Company Investing in AI-Powered Network Intelligence and Analytics. Read the full press release.

Semantic digital twin helps Vodafone Germany improve end-to-end network visibility and data quality management.

In June 2025, Vodafone Germany took a major step toward autonomous network operations, adopting EXFO’s semantic digital twin solution. Building on its EXFO heritage, NumoData is poised to excel in servicing the growing industry trend reflected by Vodafone’s decision.

From reactive to predictive: AI-powered common cause analysis stops problems from spreading.

Over the past year, major telecom outages—from BT in the UK to Optus in Australia and AT&T in the US—have disrupted emergency services, businesses, and millions of users. Common causes? Configuration errors, cascading failures, and slow root cause analysis.

Why AI projects fail without the right data — and what it means for telecoms.

A recent Gartner press release warns that poor data quality is jeopardizing enterprise AI efforts. With 63% of organizations unprepared or unsure about their data's readiness for AI, Gartner predicts that by 2026, 60% of AI projects lacking proper data management will be abandoned.