Ericsson is ramping up its research and development (R&D) efforts in India, focusing on network application programming interfaces (APIs). This move highlights the company’s dedication to enhancing network capabilities through standardization and collaboration with local telecom giants like Bharti Airtel and Reliance Jio Infocomm. These partnerships aim to offer APIs that can leverage the advanced features of telecommunications networks, especially with the global rollout of 5G.
Network APIs are pivotal in transforming telecommunications networks into platforms for broader innovation. They allow industries to tap into features such as network slicing and quality on demand. Ericsson views programmable 5G standalone networks as opening new avenues for innovation and performance-based business models. The focus is on fostering an ecosystem where developers can create and implement innovative solutions.
This strategic focus in India’s R&D centers, located in Chennai, Bengaluru, and Gurugram, is directed towards developing secure network interfaces. These centers are also advancing use cases in device management, security, and fraud detection. Additionally, India’s research teams are exploring cutting-edge technologies, such as intent-based networks, trustworthy AI, sustainable AI, and generative AI.
According to Andres Vicente, head of Southeast Asia, Oceania, and India at Ericsson, the company is intensifying its efforts on AI, Network APIs, and Generative AI. “The synergy of high-performance and programmable networks, combined with network APIs and a vibrant ecosystem of developers, will create a powerful network effect of growth and innovation,” Vicente stated.
A significant part of this initiative includes incorporating AI into Ericsson’s product offerings. They have implemented AI-driven solutions in customer networks for planning, deployment, and operational improvements. Furthermore, their generative AI platform, Ericsson Language Intelligence (ELI), features large language models optimized for telecom scenarios. This allows engineers to interact with networks through natural language, streamlining processes like network monitoring and troubleshooting.
The deployment of AI and generative AI also focuses on enhancing network intelligence and energy efficiency. Demonstrations at the India Mobile Congress illustrate how such technologies can lead to energy-efficient telecom networks. For instance, the “brain-inspired AI” concept aims to lower AI compute energy consumption substantially.
Moreover, Ericsson showcased applications of AI and robotics combined with 5G to improve safety measures, such as fire hazard prevention, in enterprises. The recent demonstrations focused on 5G applications for consumers, enterprises, and advancements towards 6G.
