The rapid advancement of AI is truly astonishing, with remarkable possibilities on the horizon. From voice-activated assistants like Siri to self-driving cars, artificial intelligence (AI) is transforming the way we live and work. But have you considered its impact on mobile connectivity, especially as 5G subscriptions are projected to reach nearly 5.6 billion by 2029? Imagine if your smartphone could predict your data usage and optimize your network connection in real-time.
As one of the most transformative forces of our era, AI is revolutionizing all sectors, including telecommunications. Its unparalleled efficiency and automation capabilities are reshaping the telecommunications industry, driving agility, and enabling predictive, proactive operations. Many service providers are now leveraging AI to automate tasks and make data-driven decisions. AI is essential for developing the networks of the future, enhancing communication technologies, supporting extended reality (XR), reduced capability (RedCap) devices, and boosting network energy efficiency. The emergence of large language models (LLMs) has also expanded the potential for generative AI use cases, offering benefits far beyond traditional applications.
AI has been pivotal in advancing mobile connectivity, shifting from best-effort mobile broadband to more predictable, performance-oriented services. This shift promises significant economic benefits, empowering businesses, governments, and societies to achieve sustainability goals. While these advancements are impressive, we are only beginning to unlock AI's true potential. Its impact will become even more pronounced as 5G networks become ubiquitous, paving the way for innovations we can't yet imagine.
As leaders in 5G technology, we are enthusiastic about AI's potential and have been pioneers in its adoption. For decades, we have used AI-powered solutions to manage complex network data, predict patterns, and optimize network performance. Our AI-driven predictive network management technology offers comprehensive machine learning-based diagnostics, root cause analysis, and actionable recommendations to enhance user experiences. This not only helps communication service providers (CSPs) address network anomalies but also redefines how networks are operated and maintained.
This is why I was particularly excited about this year's Gitex Global theme, 'AI Everything'. This aligns perfectly with our commitment to creating a mobile-first world powered by cloud and AI, where differentiated, high-performance networks are accessible everywhere. We look forward to showcasing our cutting-edge innovations in AI and connectivity, sharing our expertise on how AI can contribute to achieving global sustainability goals, and exploring future technologies like 5G advanced and paving the way to 6G.
In the Middle East and Africa (MEA) region, AI plays a crucial role in ensuring reliable connectivity and advancing digital inclusion, particularly in line with ambitious national visions. We are deploying AI-enabled solutions to improve network performance, contribute to digital transformation, and tackle challenges unique to these markets. By adopting AI, we are not only solving current issues but also laying the foundation for the networks of the future.
It's also crucial to highlight the pressing need for cybersecurity as AI's benefits grow. As 5G and ICT transition to cloud and edge computing, new vulnerabilities are emerging. The rise of generative AI and LLMs has equipped adversaries with tools to rapidly exploit these weaknesses. According to a report by Sapio Research and Deep Instinct, 85 per cent of security professionals attribute the rise in attacks to generative AI. Mitigating these threats will require advanced AI-driven security solutions.
Unlocking AI's full potential will require partnerships across industries to develop secure and trustworthy solutions. Trustworthiness remains a challenge. AI's reliance on probabilistic models can create uncertainty, and transparency around AI processes is crucial. To realize the full potential of AI, trust needs to be established in the development, deployment, and use of AI. This is why it's critical for us to build human trust in AI, addressing aspects spanning from explainability and human oversight to security and built-in safety mechanisms. Trustworthiness is a prerequisite for AI, and we are building it into the system by design.
As we move toward an era where networks can sense, compute, learn, and act autonomously, AI will be central to managing the explosion of data generated by billions of connected devices. This hyperconnected future will depend on strong partnerships between ICT companies and CSPs, transforming business and society through secure, efficient, and sustainable communication services.
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