To be a leader in telecom, you need to lead in AI

From cell decongestion, to coverage, CHANDRU SARGOR, head of Ericsson India's Global Artificial Intelligence Accelerator (GAIA) and Ericsson R&D Site, Bengaluru, says that Artificial Intelligence (AI) is solving real-life challenges in telecom networks. In an interaction with Subhayan Chakraborty, he also explains how Agentic AI will be the way forward. Edited excerpts:

- CHANDRU SARGOR

Which are the areas within telecom with the highest incidence of AI adoption?

In every business unit within Ericsson, whether it's on the Mobile Networks side, where we're talking about RAN, Transport or Core Networks, or on the Enterprise Networks side, wireless LAN and private cellular networks, across the board, we are seeing adoption of AI. It is truly a technology horizontal that cuts across all the areas.

The understanding is very clear that to be a leader in telecom, you must also lead with AI capabilities. We are working to translate advanced AI technologies into impactful solutions for telecom networks.

US, Santa Clara, and Canada, Montreal), Sweden, in Stockholm (which is our headquarters), and in India, we are based in Bengaluru and Chennai. Overall, about 170 data scientists and data engineers. About half of them are based out of India.

What are some recent innovations at GAIA?