Telecom operators’ unique advantage of AI-powered networks
AI continues to make headlines, especially in the telecom industry. Nvidia’s recent report revealed over 80% of telcos consider AI as increasing their company’s annual revenue. AI is driving visible results and the subsequent high-performing AI models that result, are becoming more significant. With global AI innovation growing, it is no longer whether telecom operators are deploying generative AI. Instead, the question has shifted to how AI is being leveraged.
Generative AI is only one of the many layers in the AI pack. With AI-native becoming pervasive, telecom is increasingly shifting to a ‘full-stack’ approach. Integrating AI into pre-built tools and frameworks supports the entire network and optimizes and enhances efficiencies.
Telecom’s AI Advantage
Telecom operators are at an advantage in this AI-powered world. They incubate vast amounts of data, the basis of AI, which are growing exponentially. A tier one operator in the US can have as many as 70 billion data points daily from around 30,000 different data sources. This holds enormous potential for AI in telecom as Nvidia’s senior vice president of telecom, Ronnie Washishta, commented at MWC in October, “AI will revolutionize telecommunications and telecommunications will revolutionize AI”.
The challenge of today’s telecom AI focus however, is what is the most efficient way of storing, accessing and processing all the data from silos spread across the network?
The Problem is in the Processing
Processing data for AI is often a costly challenge. This includes capturing, ingesting, managing, exporting, and analyzing substantial data loads. Operators need to build the right environment—including hardware and software—to handle all the data collection and analysis so that it can be extracted for AI.
While substantial amounts of data must be processed, an additional difficulty is that the actual data can still be limited for real-world telecom purposes. The number of observations for all the different categories in the data set classifications is often restricted, which risks bias from feeding imbalanced data into the AI models.
Efficient data processing and capacity influence the precision of the AI model, which is particularly important for automated tasks, network optimization, root cause analysis, maintenance or predictive calculations, and more.
RADCOM’s Advantage
RADCOM has been successfully capturing, processing, and analyzing large volumes of telco network data for a significant time. Our AIOps solutions empower operators to prioritize customer experience and reduce churn.
AIOps, or AI for IT operations, means that big data together with natural language processing and machine learning are combined to fully integrate AI into operational processes. It enables automation, predictive and proactive maintenance, reducing time-to-resolution and optimizing network performance.
RADCOM offers a comprehensive understanding of the network, with a complete picture of real-time activity and individual experiences. Deep insights into quality of service, issues, and usage trends enhance loyalty by providing a thorough understanding of the actual user experience, even with encrypted data. By saving time through anomaly detection and anticipating potential churners, it facilitates quick and efficient resolution of anomalies.
In this way, our AI-native solutions proactively identify problems and gain end-to-end visibility into customer experience across networks, services, and devices. Operators can then compare a subscriber CEI to a network baseline and correlate real-time subscriber analytics from RAN to edge to core. Furthermore, the solutions utilize anomaly detection and predictive analytics to avoid customer-affecting issues.
AI Within Reach
Unsurprisingly, AI, particularly AIOps in telecom, is expected to rise to $5.76 billion by 2029. The AI discourse, whether over agentic AI or higher-powered AI models, has only sparked a greater quest for making AI more accessible to the telecom industry. RADCOM’s AIOps helps operators differentiate themselves in a competitive market by adopting advanced technologies like closed-loop automation and real-time analytics. With our unique approach to infusing telecom data into AI, we are ringing in a new paradigm for novel use cases – whether it is for engineering, customer care, or marketing. RADCOM enables operators to deliver unparalleled customer experiences in the 5G era and beyond.
