What's Happening?
Executives from major telecom companies, including Deutsche Telekom, Telenor, and BT, are exploring the integration of AI technology with 5G networks to improve network performance and generate revenue. During an 'AI in infrastructure' event, Michal Sewera from Deutsche Telekom highlighted the challenges posed by the decomposition of cloud network software into smaller components, which can lead to significant issues detectable only through changes in key performance indicators. Sewera emphasized the need for AI-driven lifecycle management to address these challenges. Telenor's Terje Jensen discussed the company's approach to working with enterprise customers to tailor AI solutions to their specific needs, focusing on video analytics and remote driving supported by 5G networks. BT's Andy Corston-Petrie noted the challenges of AI investment and the need for flexible, decentralized models to architect intelligence for operations and customer services.
Why It's Important?
The integration of AI with 5G networks represents a significant shift in telecom operations, promising enhanced network performance and new revenue streams. This development is crucial for telecom companies as they seek to capitalize on the capabilities of 5G technology. By leveraging AI, these companies can offer advanced services such as video analytics and remote driving, which are increasingly in demand. The move towards AI-driven lifecycle management also highlights the industry's need for a new breed of network engineers skilled in software development. This shift could lead to more efficient network operations and improved customer experiences, potentially giving telecom companies a competitive edge in the rapidly evolving digital landscape.
What's Next?
Telecom companies are likely to continue exploring AI applications to maximize the benefits of 5G networks. As they refine their strategies, they may face challenges related to AI investment and the need for decentralized models. The industry will need to define what it means to be an 'AI native telco' to avoid past mistakes made during the cloud native transition. Companies like Telenor are already establishing AI factories to offer GPU as a service, indicating a trend towards providing AI capabilities as a commercial offering. The ongoing development of AI-driven tools and services will be crucial in shaping the future of telecom operations.
Beyond the Headlines
The integration of AI in telecom networks raises ethical and privacy concerns, particularly regarding network sensing and tracking movement patterns. As companies develop AI-driven services, they must navigate these issues to ensure compliance with privacy regulations and maintain customer trust. Additionally, the shift towards AI-driven operations may require significant changes in workforce skills and training, as traditional roles evolve to meet the demands of AI technology.
