As artificial intelligence (AI) and machine learning (ML) take over the IT world, the number of available solutions and products using this technology increases every day. While powerful, AI should not be incorporated thoughtlessly. Instead, it should be used to overcome real challenges and areas that can provide palpable benefits.

The value of AI/ML systems for telecommunications

Communications service providers constantly seek ways to improve and optimize their infrastructure and processes. Convergence with IT technologies, such as network element virtualization and dynamic resource allocation, resulted in more centralized digital infrastructures that can be managed and monitored entirely via specialized platforms. The performance of the entire network depends on the quality and efficiency of these platforms, which is why the traditional static rule-based systems are no longer viable.

This is where artificial intelligence shines. The technology provides much-needed flexibility, accuracy, and the ability to automate labor-intensive processes, including network management and business processes. AI can analyze data more accurately and within significantly less time than static algorithms. Adopting this approach reduces operational costs and creates a self-regulating system capable of addressing previously too labor-intensive tasks.

Optimizing labor-intensive processes

AL/ML-based automation can improve service providers' processes by providing a highly adaptable system that can be modified at any time. Based on simple prompts formulated in natural language, technicians can adjust network parameters within minutes and without extra costs. For example, it can help with network monitoring, predictive maintenance, creating network traffic profiles and correlating them with current values, handling fault reports, and automatically switching to emergency infrastructure to ensure service continuity.

Simplifying business processes

Artificial intelligence excels at gathering and processing data. Conducting market research and generating a more tailored offer that addresses current trends and customer needs is the perfect use for this technology. AI/ML algorithms can also automate invoice and payment matching thanks to their ability to consider complex criteria to identify mismatched information and anomalies, such as one-time divergencies in invoice amounts caused by the purchase of additional services. This approach can save a lot of valuable time and reduce repetitive paperwork.

Managing networks using generative AI

Consolidating a comprehensive overview of network elements with real-time updates is critical to effectively managing extensive telecommunications infrastructure. This information allows CSPs to make better long-term decisions and identify potential issues.

While conducting such analysis is difficult and requires specialized personnel, generative AI can do it automatically and gather all the network data in one place. Automating this process provides higher data quality and more reliable insight into network status.

Making networks more sustainable

As society becomes increasingly aware of environmental issues, the need for eco-friendly solutions impacts customers' choices and shapes the market. It is vital to reduce energy consumption and develop infrastructure considering its impact on nature.

Artificial intelligence and machine learning can be the answer to this issue, as their advanced analysis and forecasting capabilities allow for the automatic disabling of parts of infrastructure that do not carry a lot of network traffic at a given moment.

If you are interested in more strategies for adopting AI/ML systems in your telecommunications business, check out Comarch's latest content campaign, "Smart Choices for AI Revolution." You can also download the latest white paper by Comarch experts on AI-driven automation and streamlining operational processes..