Agentic AI is an advanced technology that is revolutionizing the telecommunications industry and reshaping the future of work. In this podcast episode, Ahmed Hafez and Outmane Laaroussi from Deutsche Telekom's Group Technology Team provide insights into the transformative potential of AI agents. Unlike traditional AI systems, these agents can reason, plan, and adapt to new situations, making them indispensable for optimizing complex telecommunications operations.
A practical example is the RAN Guardian AI Agent, developed in collaboration with Google Cloud. By using tools such as Gemini 2.0 the agent manages networks autonomously and intelligently. The integration of Agentic AI is a central part of Deutsche Telekom's strategy towards autonomous networks that require minimal human intervention. The experts report that they are already experiencing that this technology enhances efficiency and reliability, allowing employees to focus on more strategic and creative tasks. Thus, Agentic AI will play a crucial role in the future of networks, driving innovation and improving customer experience through intelligent, self-improving systems.

Show Notes & Chapter Marks:

01:30 | AI-Updates of the week

News 1: Two Swiss students develop an AI tutoring and learning app
News 2: New AI tool creates videos from a single photo and a voice message

03:06 | Spotlight-Conversation

How will AI Agents transform our Networks? / with Ahmed Hafez & Outmane Laaroussi

21:35 | AI-Tip of the week

ElevenLabs

Links & Sources:

News 1:

Link 1, Link 2

News 2:

Link 1, Link 2

AI-Agents for Autonomous Networks:
Deutsche Telekom and Google Cloud Partner on Agentic AI for Autonomous Networks

AI-Tool-Tip of the Week: ElevenLabs

Note: This is a special episode held completely in English.

Contact:

Guests:

Ahmed Hafez I LinkedIn

Outmane Laaroussi

Moderator: Leonard Dahmen | LinkedIn

Suggestions & feedback: podcast@telekom.de

Tags: KI, Künstliche Intelligenz, Telekom, News, KI-Agenten, AI Agents, Agentic AI, Deutsche Telekom, Digitalisierung, Radio Access Networks