Over the past decade, operators invested roughly $1 trillion into 5G infrastructure. It was meant to unlock a new era of performance and monetization. Instead, many operators and enterprises are still wrestling with churn pressure, rising operational costs, slow root-cause resolution, and monetization that lags behind investment.
The problem isn’t a lack of data. It’s a lack of clarity.
Overcoming the wall of complexity
Modern networks don’t stand still. They adapt, reconfigure, and respond in real time. They connect people, machines, applications, and entire industries. They support everything from video streaming and mobile workforces to IoT utilities, digital banking, and AI-driven services.
Each new capability added value... and an explosion of complexity.
Today, operators and enterprises are surrounded by dashboards, KPIs, alerts, and metrics coming from every direction (RAN, core, transport, cloud, devices, applications) turning operations into an exercise in overload.
Meanwhile, customer expectations have shifted from availability alone to contextual quality: Did the call feel right? Did the video stream smoothly? Did the application respond?
And customers don’t wait. If the experience disappoints, they churn.
In this context, speed, adaptability and confidence in decision-making have become essential market requirements for survival and success.
Automation and AI promise relief, but without the right data and context, they often amplify complexity instead of reducing it.
Introducing True Network Intelligence
To address this growing complexity, Infovista is introducing a new way of managing networks, bringing True Network Intelligence to operators and enterprises so they can turn complexity into clarity and make faster, better decisions at scale, in real time.
This can only be achieved at the intersection of two critical elements:
1) The right data and context
Networks generate an overwhelming volume of data, and context is what gives data purpose. AI doesn’t create intelligence on its own. It depends on meaningful, well-organized data to produce outcomes teams can trust.
2) Domains experience
Understanding which data matters and how context evolves over time comes from expertise. An expertise that Infovista has built over three decades.
With those elements in place, True Network Intelligence emerges: getting the right data, at the right time, in the right context, and with the right knowledge, so decisions can be made faster and with greater confidence.
Why is True Network Intelligence needed now?
The telecom ecosystem has reached a turning point:
- The 5G investment cycle demands ROI now.
- AI and automation are unlocking new monetizable use cases, but only when they are powered by trusted, contextual intelligence.
- The operational complexity of multi-generation networks is increasing: 2G sunsets, 4G optimization, 5G densification, private networks… while early 6G conversations are already underway.
In short, operators and enterprises must maximize 5G monetization before the next wave of technology (6G) competes for budget and attention.
Why Infovista is uniquely positioned to deliver it
At Infovista, we have been present across 30 years of network evolution. Throughout that journey, one challenge has remained constant: networks generate signals from everywhere (radio, transport, core, services, and customer experience), and the real value lies in turning that complexity into insight teams can trust and act on.
Our focus has always been exactly that. Translating vast, fragmented data into high-quality, real-time intelligence, built on strong principles of data integrity and data security. Intelligence that closes the gap between what teams observe in the network and the actions they need to take to protect experience, efficiency, and revenue.
Today, we extend that foundation through our Agentic AI framework and machine learning–based insights. Data is integrated, contextualized, and made accessible to network operations teams, and enterprises in B2B2X scenarios.
This approach spans the entire network lifecycle, from network planning and optimization to testing, to monitoring and observability. It also extends into the contact center domain, where capabilities such as natural language interaction, voice detection, and text-to-voice analysis connect network performance directly to what customers experience with all digital channels.
By combining lifecycle-wide visibility, trusted data, and pragmatic AI-driven automation, Infovista remains the only provider today with both the technology stack and the domain experience to deliver end-to-end true network intelligence.
True Network Intelligence use cases
When data is democratized, contextual, and available in real time, new, monetizable use cases can emerge. Some of the most relevant cases presented at a Mobile Europe’s panel discussing strategies for telecom innovation and growth, include:
- Real-time, contextual offers for digital services. Subscriber behavior changes constantly throughout the day. At one moment, a user may simply be browsing social media. Next, they could be on a work call. Later, they might be attending a live sports event and streaming high-definition video from their mobile device. Each of those moments has different bandwidth and quality expectations. With geospatial analytics and real-time intelligence, operators can understand what a subscriber is doing, where they are, and what level of experience they need right now. That makes it possible to trigger highly targeted, time-relevant offers (higher bandwidth, premium quality, event-specific packages) precisely when they matter.
- IoT and enterprise SLAs. Many enterprises consume connectivity from a service provider and see it as a basic pipe. But intelligence changes that relationship. By exposing network insight through a self-service SLA portal, operators can offer premium capabilities such as fault demarcation, advanced triage, and service transparency. Enterprises gain clarity on whether an issue sits in the network, the device, or the application layer. Operators, in turn, can package and monetize these capabilities as differentiated SLA tiers rather than absorbing the cost operationally.
- Fraud prevention. Connectivity alone is not the value. The value lies in correlated insight. By combining network data, behavioral signals, and contextual awareness, operators can detect suspicious patterns, such as a subscriber being on a voice call while simultaneously initiating a high-risk data transaction flagged as potential fraud. That intelligence can trigger real-time alerts that banks can act on immediately.
Across all these examples, the pattern is the same:
- Complexity is reduced. Data is organized, contextualized, and made accessible.
- Intelligence becomes actionable. With the right information, AI agents can act reliably.
- Operators and enterprises decide how to productize and monetize that intelligence based on their market and customers.
What True Network Intelligence delivers
Speed
The first and most visible gain is speed. True Network Intelligence dramatically shortens the distance between insight and action. Analysis that once took weeks (pulling data from different systems, aligning teams, validating assumptions) can now happen in days, hours, or even seconds.
That speed is what makes the industry’s long-term ambition realistic: autonomous networks. While full autonomy remains a north star, intelligent data and agent-driven automation are already enabling networks to detect issues, assess impact, and trigger corrective actions with minimal human intervention, while keeping people in control of critical decisions.
Operationally, this shifts teams from reactive firefighting to proactive network management. Issues are identified and resolved before customers are affected. Resources are used more effectively, improving performance while reducing operational cost.
Monetization
From a business perspective, clarity unlocks monetization. Faster insight accelerates 5G returns and supports the rollout of next-generation services. When operators understand how, where, and why the network is being used, they can design offerings that match real demand.
This shift is already playing out in practice. A Tier-1 operator, for example, is now monetizing network data it couldn’t be used before. With clearer intelligence and the ability to work more closely across the ecosystem, they turn that data into concrete commercial opportunities, supporting targeted upsell and cross-sell strategies, new service tiers, and differentiated digital offerings.
This is how service providers evolve into digital service providers, using intelligence to move beyond connectivity and create services that reflect real network usage.
Adaptability
Intelligence also enables regional and industry-specific approaches. For example, connectivity for healthcare, education, or digital services does not look the same everywhere. True Network Intelligence supports this regionality, replacing one-size-fits-all strategies with services that reflect real needs.
The outcome is simple and measurable: better experiences, stronger loyalty, lower churn, and more efficient operations. In a complex ecosystem, clarity becomes a competitive advantage, and True Network Intelligence is what makes it possible.
See True Network Intelligence in action at MWC26
The telecom ecosystem doesn’t need more data. It needs clarity, confidence, and expertise. It needs True Network Intelligence. And it needs it now.
If you’re attending Mobile World Congress 2026 in Barcelona, meet with Infovista to see True Network Intelligence in action and how it enables you to make faster decisions, deliver better experiences, and unlock new business opportunities.
