by: Bruno Cardoso
In the world of telecommunications problem management plays a role in identifying and resolving recurring issues that disrupt the smooth operation of telecom services. Its main objective is to minimise the effects these incidents have on business operations.
Traditionally problem management methods in the telecom industry heavily relied on processes, which were time consuming and prone to errors. These methods struggled to keep pace with the increasing complexity and scale of telecom networks. Moreover they often fell short in predicting problems resulting in reactive rather than proactive problem management.
This is where Artificial Intelligence (AI) is bringing about a revolution in problem management within the telecom industry. AI powered systems have the ability to analyze amounts of data and identify patterns and trends that may go unnoticed by humans. As a result AI can predict issues before they even occur, enabling proactive problem management.
Furthermore AI automates the problem solving process. Once an issue is identified by AI it can leverage machine learning algorithms to determine the solution and implement it automatically. This automation reduces both time and resource requirements, for problem management leading to improved efficiency and cost reduction.
Real life examples:
These are not just claims; actual telecom companies are experiencing tangible benefits from implementing AI.
Ericsson has successfully integrated intelligence (AI) and automation into their service portfolio to tackle the unique challenges posed by 5G technology in telecom and IT networks. They have strategically incorporated AI at every level of their architecture resulting in an cohesive AI system that encompasses all their products and services. This holistic approach allows them to anticipate customer behaviour efficiently manage operations and predict issues. A notable application of this approach involved optimizing field dispatches. By analysing data they were able to accurately predict unnecessary field dispatches in 90% of cases effectively saving valuable resources and reducing costs. (source: http://bit.ly/caseericsson)
In conclusion the telecommunications industry can greatly benefit from harnessing the power of AI in problem management processes.
AI has the potential to significantly improve problem management within telecom companies. By adopting an approach and automating solutions AI can enhance service quality while minimizing expenses. As AI technology continues to advance its impact on problem management will only grow stronger making it an essential tool, for telecom companies striving to thrive in the era.