Netcracker Technology

Telecom sales isn't just about selling a plan or service anymore. There is a lot more information involved, from customer history and product details to usage, network, and service data. The problem is that this information often lives in different systems. Sales teams may have to look in several places before they have a clear idea of what a customer actually needs. This is one area where better system integration can make things easier. AI is also starting to play a role by helping with routine tasks, finding useful information, and supporting teams when they are working with large amounts of customer data. The shift is especially noticeable as telecom operators move into B2B and B2B2X services, where there are more products, partners, and processes to manage. There are some interesting examples of how telecom companies are approaching this, and what it could mean for the way sales and customer management work in the coming years. Worth a read if you're curious about whe...

The telecom industry is no longer competing only on network coverage and performance. Customers and businesses now expect flexible services, personalized offers and digital experiences that can keep up with their changing needs. For telcos, this makes speed an important part of staying competitive. Whether it is launching a new broadband bundle, introducing an AI-powered service or creating an offering for business customers, taking months to bring an idea to market can mean missing valuable opportunities. The challenge is that product launches often involve multiple systems, teams and processes. Pricing, product catalogs, ordering, billing and fulfillment may all work separately, making even simple changes more complicated than they need to be. A more connected approach to product management can help reduce this complexity. With centralized product information, automation and flexible workflows, telecom teams can make changes faster and respond more easily to customer demand and ma...

Agentic AI is creating new possibilities for telecom operators, but giving AI more autonomy also comes with new risks. When systems work with customer, billing or network data, accuracy and security cannot be overlooked. A practical approach is to start with clearly defined use cases and give each AI agent access only to the information it needs. Specialised agents can then focus on specific tasks, such as billing, tariffs or troubleshooting, rather than trying to manage everything at once. This makes it easier to monitor performance, identify errors and build trust before expanding an agent’s responsibilities. Over time, multiple specialised agents can work together to handle more complex processes while maintaining clear boundaries. For telecom operators, successful AI adoption may ultimately depend less on how quickly autonomy is introduced and more on how responsibly it is managed. Explore more insights on the practical use of AI in telecommunications .

As telecom networks become more distributed and connected, cybersecurity is evolving from a technical function into a strategic business priority. The rapid growth of cloud-native networks, 5G, IoT, and edge computing has expanded the attack surface, making it increasingly important for service providers to strengthen both prevention and response capabilities. A resilient cybersecurity strategy goes beyond deploying security tools. It includes continuous monitoring, threat detection, incident response planning, and collaboration across teams to identify and address emerging risks before they impact customers or critical services. As cyber threats become more sophisticated, organisations are also focusing on building resilience to ensure they can quickly recover from disruptions while maintaining network reliability. Understanding how next-generation cybersecurity approaches are helping telecom operators adapt to these evolving challenges offers valuable insights into protecting mode...

Cybersecurity has become a key priority for telecom providers as networks grow more connected and digital services continue to evolve. From protecting critical infrastructure to managing new security risks, staying ahead of emerging threats is more important than ever. In this TelecomTV interview, Samuel Visner discusses the latest cybersecurity challenges impacting the telecom industry and shares perspectives on how operators can better prepare for an evolving threat landscape. Watch the full interview to explore the cybersecurity challenges shaping today's telecom industry.

As AI adoption accelerates, organisations are increasingly focused on how to move beyond successful pilots and implement AI at scale. While early projects often demonstrate promising results, expanding AI across an enterprise requires careful planning, secure infrastructure, and a clear governance strategy. Reliable data plays a central role in this process. AI systems are only as effective as the information they use, making data quality, accessibility, and integration critical to achieving accurate and consistent outcomes. At the same time, organisations need governance frameworks that provide transparency, oversight, and security as AI becomes embedded in business operations. Taking a structured approach allows businesses to scale AI more effectively, streamline processes, improve decision-making, and support innovation without compromising operational control. As enterprise AI continues to evolve, organisations that invest in these foundational capabilities will be better positio...