From reducing manual operations to more strategic initiatives, AI's impact on telecom offers critical lessons for other industries.
What sparked Ericsson's AI journey?
Ericsson's AI journey began over 15 years ago when a group of enthusiasts at Ericsson Research started looking into big data analytics methods. Their primary goal was to simplify operations for their colleagues who were managing numerous trouble tickets and alarm data globally. This initiative aimed to reduce the labor-intensive nature of their Managed Services, which still serve over one billion subscribers today.
How has AI transformed telecom operations?
AI has significantly transformed telecom operations by automating numerous manual tasks, such as ticket resolution and initial support through chatbots. This shift has not only improved efficiency but also addressed privacy concerns by reducing manual operations. Additionally, AI applications now focus on real-time analyses and actions within the telecom system, enhancing network performance and reliability.
What is the future of AI in telecommunications?
The future of AI in telecommunications is promising, with ongoing advancements expected to reshape the industry. As 5G standalone deployments enable network slicing and differentiated connectivity services, AI will play a crucial role in optimizing resource allocation and enhancing network performance. Furthermore, the integration of AI into 6G systems is anticipated to create an AI-native environment, driving innovation and improving operational efficiency.