5G monetization challenges
Tata Consultancy Services: Critical role of Gen AI in 5G; 5G private networks and enterprise use cases
“In the realm of network management, Generative AI could play a critical role in predicting 5G data flow patterns and optimizing performance, ultimately improving the customer experience. Similarly, in the area of security, Gen AI could be pivotal in identifying and predicting threats before they occur, strengthening overall network security,” Mayank Gupta, Global Head (Sales and Strategy Network Solutions and Services) at Tata Consultancy Services (TCS), told the Economic Times of India.
5G adoption has been happening in stages he said. When asked about the 5G monetization challenges, Gupta opined that one of the main challenges has been fully understanding the business case or use case required by the industry. “It is not the traditional ‘design, deploy and get paid’ model. Instead, you have to engage with the industry, collaborate with various stakeholders and take an ecosystem approach. It is essential to understand the specific business needs, define the problem and then build solutions around that,” Gupta said.
“Two years ago, 5G was moving at a very slow pace, but it has gained significant momentum. Globally, the U.S. and Canada are leading the way, while countries like South Korea and Brazil are accelerating their adoption, largely due to the liberalization of their spectrum. From a deployment standpoint, mobile private networks are among the first areas seeing significant progress, with deployments growing rapidly. “The focus is shifting from just connectivity to a broader transformation of operational technology,” he added.
Over 50% of 5G mobile data is now coming from the enterprise sector, which has become a major focus. Different countries prioritize different use cases based on their needs.
Watch the video interview here:
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