Netcracker Technology

Agentic AI is expanding the role of automation in telecom by enabling AI systems to manage tasks and make decisions with greater independence. This video looks at how these capabilities can be applied across complex telecom environments. Explore the evolving role of agentic AI in telecom .

The real potential of AI in telecom goes beyond using a single technology. Multi-agent orchestration brings together different AI capabilities to handle complex, multi-step processes more effectively. With predictive insights, generative AI and autonomous agents working together, telecom operators can streamline workflows, gain deeper insights from their data and respond more efficiently to changing business needs. Learn more about the evolving role of AI orchestration in telecom .

Telecom networks are facing increasingly sophisticated cyber threats, from advanced persistent attacks to AI-powered social engineering and supply chain risks. Traditional perimeter security alone is no longer enough. By adopting continuous verification, intelligent threat detection, real-time monitoring, and strong incident response practices, telecom operators can build more resilient networks and better protect critical communications infrastructure. Learn more about the evolving cybersecurity landscape in telecom .

As telecom operators move toward autonomous networks, digital twins provide a safe environment to test new technologies, train AI models, and optimize network operations before deploying changes in production. Beyond network simulation, digital twins offer valuable insights into business processes, service delivery, and customer experiences, helping operators make informed decisions with greater confidence. Read more about digital twins and the future of telecom operations.

As telecom providers try to respond faster to changing customer expectations, digital twins are becoming a practical way to test service journeys before they go live. Instead of relying on assumptions, operators can use virtual models built on operational and customer data to simulate onboarding flows, pricing changes, service activation, and self-service experiences. This is especially useful in telecom, where even a small change can affect multiple systems, processes, and customer touchpoints at once. Read more about how digital twins are being used in telecom.

This year’s Mobile World Congress is expected to show how quickly AI is becoming embedded in telecom strategy. Agentic AI is one of the major themes at the centre of that conversation, particularly as operators look for ways to improve customer experience, automate more of their operations, and create new sources of value. Across the industry, there is increasing interest in how AI can support real-time decision-making, personalise services, strengthen retention efforts, and help networks operate more intelligently. The direction of the conversation at MWC suggests that telecom’s next phase will be defined by a stronger balance of automation, operational agility, and customer-focused innovation. Learn more about how AI is shaping the telecom industry .