The telecom industry is at the forefront of technological innovation, and artificial intelligence (AI) is playing a major role in this transformation.
AI has proven itself essential to the telecoms’ digital transformation strategy as it addresses the key challenges telecoms face today. Global traffic and the need for more network equipment are growing dramatically, resulting in more complex and costly network management. Telecoms struggle to leverage the vast amounts of data collected from their massive customer bases over the years. Data may be fragmented or stored across different systems, unstructured and uncategorized, or simply incomplete and not very useful.
AI is being used to improve network performance, automate customer service tasks, and develop new products and services. One of the most important ways that AI is being used in the telecom industry is to improve network performance. AI can be used to analyze data from network sensors to identify potential problems before they occur. This allows telecom providers to take proactive steps to fix problems and prevent outages.
AI in the telecom market is increasingly helping CSPs manage, optimize and maintain infrastructure and customer support operations. Network optimization, predictive maintenance, virtual assistants, RPA, fraud prevention, and new revenue streams are all examples of telecom AI use cases where the technology has helped deliver added value for enterprises.