5G networks, Internet of Things (IoT), and edge computing are witnessing significant advancements, facing multiple complexities in mobile network systems. Their role is no longer limited to providing means of communication, but has also become imperative in delivering value.
It is fortunate that strong data and artificial intelligence (AI) have enabled the provision of advanced automated operational services.
Zelika Limester, the Senior Director of AI Strategy Operations at Ericsson, stated that AI and machine learning have proven their importance in delivering clear benefits to telecommunications companies in various areas.
She highlighted that artificial intelligence offers five key benefits for communication networks.
AI-driven automation stands out for its efficiency and effectiveness. By handling routine tasks and enhancing network efficiency, automation can improve network operations and reduce costs. With Ericsson’s extensive experience in network systems, data analytics, monitoring modern and legacy trends, and learning from them, the company has a deep knowledge enabling it to build and train AI models for network data analysis and behavior.
These algorithms enable maximum utilization and better network planning overall. In addition to AI’s ability to pinpoint the root cause of issues with high accuracy, contributing to reducing problem resolution time and predicting future occurrences. Furthermore, AI provides cost savings in downtime, and in some cases, it can autonomously solve issues without human intervention.
Telecommunications service providers struggle to meet customer expectations in maintaining high network performance as complexity increases. However, by maximizing smart technology utilization, they can control this complexity increase, enhance customer experience, and maintain better network performance.
By analyzing data traffic patterns in networks and efficiently allocating resources, AI works to enhance productivity and reliability. By dedicating resources in active networks to serve high-demand sites and improving data routing to reduce congestion, full utilization of bandwidth and improved response time can be achieved.
Energy and sustainability: With rising energy costs, global efforts for achieving zero emissions, and increased demand for enhanced network capacities, evaluating energy consumption has become essential to ensure sustainable operations. While looking to the future of advanced zero-energy devices, artificial intelligence enhances network utilization efficiently without affecting performance quality or energy savings. AI can also self-operate, whether in real-time or targeted times, in organizing network traffic and assisting communication service providers in reducing energy consumption, hence reducing carbon emissions, operational costs, and achieving sustainable development goals.
Regarding credibility and security, we always handle artificial intelligence technology with caution. Its success is closely linked to values and ethics. Therefore, systems are built based on transparency standards, simplifying explanations for users, ensuring sufficient explanatory information to facilitate issue resolution and performance improvement. Additionally, it is ensured that the data entering the systems is entirely secure and free from any bias towards artificial intelligence. They are fully protected from any attacks.
In the field of artificial intelligence, security and compliance are constantly accompanied by concerns, but through reliable algorithms, we can reduce related issues. By monitoring and preventing risks such as cyber-attacks and fraud, artificial intelligence can assist communication service providers in protecting their networks and customer data, demonstrating their serious commitment to responsible business practices. AI algorithms are also used to monitor and prevent fraudulent activities in subscriber management and billing, helping telecommunication service providers reduce loss rates and improve their financial performance.
Unlocking new business opportunities: By developing artificial intelligence technologies for data analysis and behavioral patterns, significant opportunities are presented for communication service providers to gain broader and deeper insights into customer base and needs, enhancing their new business opportunities and enabling them to offer customized services and take effective actions to meet customer needs. When these services are effectively implemented, telecommunications service providers succeed in increasing their revenues and enhancing their competitiveness in the market.
