AI in Telecommunication
The past several years have been tough for telecom operators: although mobile data consumption has increased massively, revenues and cash flows have dropped. This is because operators had to invest massively into their wireless networks while the growth of their customer base slowed down. While monetising the required communications infrastructure for telco operators is becoming harder, over-the-top content (OTT) such as music and video streaming brings gigantic turnovers to its distributors.
The Telecommunication Challenge
Major advances in data analytics, artificial intelligence, and other technologies are changing the game in the industry. Mobile operators can achieve breakthrough cost savings and capital intensity while maintaining or even increasing their scale using new data opportunities. Digital technology can help them to streamline business functions and please customers, reducing costs and raising sales.
But digitization is not just a threat; it also offers telecom companies an opportunity to rebuild their market positions, reimagine their business systems, and create innovative offerings for customers. AI might indeed be able to transform the industry—but telcos will need to spark that revolution. Predictive maintenance, for example, can identify potential failures, enabling fixes before systems—and the services that customers depend on—fail. Machine learning allows telcos to identify patterns in a user’s browsing and purchasing histories and then suggest what’s known as the next best offer—the next product that is most likely to resonate with that customer.
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