Netcracker Technology

Everyone is talking about AI these days, but there’s a basic question that doesn’t get enough attention: Is the data ready for it? For telecom companies, this can be a real challenge. Customer information, network data, and business processes often sit in different systems. Some of those systems may be old, while others may not communicate with each other properly. So, putting AI on top of everything doesn’t automatically solve the problem. If the data is messy or spread across too many places, the results may not be very useful. That’s why getting the data side right first is so important. Bringing systems together, cleaning up information, and making data easier to access can give AI a much better starting point. There’s a good discussion on this topic that looks at how CSPs can build this foundation before moving deeper into AI and digital transformation . Take a look at the full article if you’re interested in how telecom companies can prepare their data for AI.

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...

As enterprise technology needs continue to evolve, telecom providers are expanding beyond traditional connectivity to deliver integrated digital solutions. B2B and B2B2X business models enable communications service providers (CSPs) to combine cloud, AI, cybersecurity, IoT, and partner services into tailored offerings that address changing customer expectations. By embracing flexible platforms and collaborative ecosystems, CSPs can improve service delivery, accelerate innovation, and create long-term value for enterprise customers. Explore how B2B and B2B2X strategies are shaping the future of enterprise telecom.

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 .

Netcracker played a key role at DTW Ignite 2026, where the telecom industry’s focus clearly shifted from AI experimentation to real-world execution. Through customer-led discussions, industry panels and award-winning innovation, Netcracker highlighted how communications service providers can use AI-native platforms to modernize operations, improve customer experience, unlock new revenue opportunities and move closer to autonomous networks. Its presence at the event reinforced the growing importance of practical, scalable AI strategies in telecom transformation. Read more about Netcracker’s AI vision for telecom .

As the broadband industry continues to evolve, AI, cloud-native technologies, and intelligent automation are helping service providers transform the way they operate and serve customers. Netcracker is showcasing how these innovations can strengthen MVNO business models, modernize network operations, and deliver faster, more personalized broadband experiences. By leveraging software-defined networking, cloud platforms, and AI-driven automation, providers can improve operational efficiency, accelerate service delivery, and respond more effectively to changing customer expectations. These next-generation technologies are enabling broadband providers to build more agile, scalable, and future-ready networks while supporting long-term digital transformation and sustainable business growth. Discover how AI is powering the future of broadband innovation .

Netcracker has received the 2026 AI Excellence Award for its Agentic AI Solution, recognizing its role in helping communications service providers accelerate automation and modernize network operations. Built specifically for the telecom industry, the solution enables operators to streamline complex processes, improve customer experiences, and make faster, data-driven decisions through AI-powered automation. The recognition highlights the growing impact of AI in helping telecom providers improve efficiency, accelerate service delivery, and prepare for the future of autonomous operations. Discover how AI is transforming the future of telecom operations.

As telecom providers continue to embrace AI and automation, DTW Ignite 2026 will bring together industry leaders to explore what's next for the sector. Netcracker will join the event to share insights on AI-native telecom, autonomous network operations, and strategies for improving operational efficiency while creating new business opportunities. Through keynote sessions, panel discussions, and collaborative conversations with leading telecom operators, the company will highlight how AI is helping service providers simplify complex operations, enhance customer experiences, and prepare for the future of digital connectivity. The event will also showcase innovative approaches to responsible AI and next-generation network automation. Discover how AI is shaping the future of telecom and network automation .

Digital transformation is never a one-time project—it’s an ongoing journey. That’s exactly what Telenet and Netcracker are proving with the expansion of their long-standing partnership. By bringing B2B and B2C operations onto a single digital platform, Telenet aims to simplify processes, improve customer experiences, and accelerate the delivery of new enterprise services. The move will help streamline operations, reduce system complexity, and create a scalable foundation for future growth and innovation. It’s another step toward building a more agile and efficient business that can better meet the evolving needs of both consumer and enterprise customers. Discover how unified digital platforms are helping telecom providers drive efficiency, innovation, and better customer experiences.

Physical AI is transforming industries by enabling intelligent robots, autonomous systems and smart devices that can interact with the real world. However, delivering real-time intelligence requires significant computing power, making scalability a challenge. By leveraging edge computing and distributed AI architectures, communications service providers (CSPs) can help overcome these limitations. Processing AI workloads across edge and cloud environments reduces device complexity, improves performance and enables new AI-driven services. As Physical AI adoption grows, CSPs have an opportunity to move beyond connectivity and play a larger role in orchestration, service delivery and monetization. The combination of AI, edge computing and telecom infrastructure is opening the door to new business models and revenue streams across industries. Explore how CSPs can unlock the full potential of Physical AI through edge-enabled innovation.