Telecommunications Conference Sessions

It’s been a bumper year for AI-focused initiatives in the telecoms industry. On the infrastructure side, at least 10 telcos have deployed sovereign AI infrastructure, enabling them to turbocharge AI initiatives in their domestic market. On operational activities, the spate of Gen AI initiatives across different segments of the telecom business is accelerating. On preparing for the future, we saw the launch of the first AI-radio access network (RAN) in Japan and accompanying acceleration of activities at the AI-RAN Alliance to develop technologies and capabilities for the 5G+ and 6G era. These industry developments highlight that going AI-first is now every telco's default aspiration. NVIDIA is enabling the industry on this journey, providing the hardware and software platforms, tools, and blueprints for the AI-first telco. NVIDIA SVP Telecoms, Ronnie Vasishta, will talk about how NVIDIA is working with its partners to deliver on this ambition and announce new platforms, tools, and blueprints that NVIDIA is bringing to the market.

Important: Near capacity, highly suggest arriving early. Attendees are let in on a first-come, first-served basis.

In this session, executives from three leading telcos will share their unique journeys of embedding AI into their organizations. They'll discuss how AI is driving measurable value across critical areas such as network optimization, customer experience, operational efficiency, and revenue growth. Gain insights into the challenges and lessons learned, key strategies for successful AI implementation, and the transformative potential of AI in addressing evolving industry demands.

Important: Near capacity, highly suggest arriving early. Attendees are let in on a first-come, first-served basis.

Telcos are establishing themselves as AI factory providers by leveraging their intrinsic strengths in managing and investing in complex infrastructure, being the trusted national providers of essential infrastructure, plus having access to data centers' power and space. In a growing number of countries, Telecom companies are providing the national ecosystem including government, universities, startups, and enterprises with the required AI infrastructure and platform, supporting industry and government efforts to drive AI impact across society.

We'll explore how Telcos from different regions are approaching the opportunity and driving impact in their countries.

Learn how to create AI agents using LangGraph and NVIDIA NIM to automate 5G network configurations. You'll deploy LLM agents to monitor real-time network quality of service (QoS) and dynamically respond to congestion by creating new network slices. LLM agents will process logs to detect when QoS falls below a threshold, then automatically trigger a new slice for the affected user equipment. Using graph-based models, the agents understand the network configuration, identifying impacted elements. This ensures efficient, AI-driven adjustments that consider the overall network architecture.

We'll use the Open Air Interface 5G lab to simulate the 5G network, demonstrating how AI can be integrated into real-world telecom environments. You'll also gain practical knowledge on using Python with LangGraph and NVIDIA AI endpoints to develop and deploy LLM agents that automate complex network tasks.

Prerequisite(s):

• Python programming.