In the last 20 years or so there have been remarkable changes in the mobile telecommunications industry, the most recent of which have been largely driven by advancements in Artificial Intelligence (AI), and from optimising networks to delivering personalised services, AI is set to revolutionise how we interact with our mobile devices and the network. For example, how we use our mobile devices and consume content will be redefined by AI-powered augmented reality (AR) and virtual reality (VR) technologies. From immersive gaming experiences to AR-enhanced navigation and shopping, AI-driven AR/VR applications will become an integral part of the mobile experience.
Here are a few more areas where we can expect innovations and transformations to the mobile telecom sector via AI.
Network optimisation
AI offers opportunities to improve network performance, reduce operational costs, and enhance the overall user experience.
Customer service
AI-powered chatbots and virtual assistants have the potential to revolutionise customer service in the mobile telecom industry with instant, round-the-clock support – regardless of the time zone or business hours – handling multiple customer queries simultaneously.
Personalised services
AI can empower mobile telecom providers to offer hyper-personalised services tailored to individual needs and preferences through various means:
AI algorithms can analyse vast amounts of customer data, including demographics, usage patterns, browsing behaviour, and location data, to gain insights into individual preferences and behaviour.
Security and privacy
AI can play a crucial role in enhancing network security and safeguarding privacy in the mobile telecom ecosystem in several ways:
AI-powered systems can analyse network traffic patterns and behaviour to detect anomalies and potential security threats in real-time. By identifying suspicious activities, AI helps telecom operators prevent security breaches and cyberattacks before they occur.
Environment and energy
AI can play a significant role in improving the environmental sustainability and energy efficiency of mobile networks.
If AI algorithms accurately forecast network usage, operators can optimise resource allocation and power management, reducing energy consumption during periods of low activity and scaling up capacity as needed to meet peak demand.
Source: THE FAST MODE
