How Deutsche Telekom Scaled an Enterprise Multi-Agent Platform with Qdrant, Powering 2M+ Conversations

​Register Here!

​Deutsche Telekom’s AI Competence Center (AICC) had a critical challenge: how do you efficiently deploy scalable AI-powered assistants across a vast enterprise ecosystem?

The goal was to deploy GenAI for customer sales and service operations to resolve customer queries faster across the 10 countries where Deutsche Telekom operates in Europe.

In this Vector Space talk, Thierry from Qdrant and Arun from Deutsche Telekom will talk about the key requirements for scaling enterprise AI agents, key AI stack considerations, and how the team built a Platform as a Service (PaaS) - LMOS (Language Models Operating System) — a multi-agent PaaS designed for high scalability and modular AI agent deployment.

​Speakers

​Arun Joseph

​Engineering & Architecture Lead
AI Competence Center
Deutsche Telekom

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​Thierry Damiba

​Developer Advocate
Qdrant

​Save your spot to learn how Telekom's LMOS with Qdrant processes over 2 million conversations across three countries, and decreased the time required to develop a new agent from 15 days to just 2.

​These insights could be applicable to your enterprise use case!