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Improving fiber deployment with smarter operations

A modern platform will help bring network data and operations together for better visibility and accuracy. It will simplify network management and support faster, better-informed decisions. It will also help improve planning and day-to-day network operations as the footprint grows. Better information will support smoother deployment and more efficient network management. The platform will also help streamline fiber deployment as the network continues to expand. Better data quality and efficient operations will support growth across more locations and services. Explore the fiber expansion update.

GenAI simplifies billing support for C Spire

C Spire has introduced GenAI capabilities to its billing support process, helping customers and service agents get answers to common billing-related questions. The update brings AI into routine support interactions and makes billing information easier to access. The approach also helps reduce routine work for service teams and streamline customer interactions. Find out how AI-powered billing support is helping improve the customer experience .

Turkcell Updates Its Approach to Service Management

The initiative focuses on making service-related work more organised and easier to manage. Bringing important information together can help teams plan their work and keep track of available resources. It can also help reduce delays when customers request new services and make the overall process smoother. Learn more about improving service management and reducing delays .

Transform Telecom Operations With the Power of AI Agents

AI Agents are helping telecom providers improve everyday operations, simplify complex tasks and support better customer experiences. From routine activities to business processes, AI can help teams save time, respond faster and manage growing workloads more effectively. It can also support employees with repetitive tasks, improve how information is handled and help organisations adapt to changing customer and business needs. Explore how Agentic AI can transform telecom operations.

Turning AI Ideas Into Real Telecom

AI is becoming a bigger part of the telecom industry. Operators are looking at ways to use it for customer service, daily operations and other areas where it can make work easier and more efficient. The focus is now moving towards practical uses that can deliver real value rather than just testing the technology. Making AI work in telecom also requires clear business goals and support from decision-makers. When companies connect AI with real business needs, they can find better ways to improve services and create measurable results. Learn more about practical AI use in telecom operations .

Why phone and internet companies are changing how they charge us

For a long time, telecom companies had a simple job: count how many gigabytes you used, print a bill, and collect the money. But today, they sell a lot more than just basic internet, they bundle in streaming services, security packages, and smart home tech. Because of this, the old way of billing is outdated. Companies are moving to smart software systems that handle complex bundles and partnerships behind the scenes, making it much easier to launch new services. See how modern platforms handle this transition: Simplifying telecom commerce management

AI Is Only as Good as the Data Behind It

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.