We accelerate our flywheel, by doubling down on Data and AI: customer interfaces, networks, IT, and processes – we are digitalizing everything, end to end. Combining operational data and customer satisfaction data helps us to better understand customer behavior, and to proactively address issues to improve customer satisfaction.
Machine-learning network operations
correlate customer and network data to predict and improve customer satisfaction
The digitalization of our core business is helping us to improve customer experience. We use data analytics and machine learning to determine the most relevant product or service to offer to our customers at the right time.
Customer data analyses
…enable offers tailored automatically to customer needs
We are systematically expanding our expertise in innovative technologies like artificial intelligence for the sake of our digital transformation. Data-based analyses are already helping us to maintain our hardware more proactively, understand customer needs better, and manage our networks more efficiently.
We are investing in...
and automation for better customer experience and efficiency
We are expanding our offering for business customers to include secure and easy-to-use AI solutions. In addition to a wide range of AI services (e.g., AI Foundation Services, Business GPT, and Comind Voice solutions), we also provide sovereign AI infrastructure through our Industrial AI Cloud. This was launched in 2026 together with Nvidia and other partners.
Together with Nvidia, we built the first
in Germany
We want to to make the best possible use of the advantages of AI along our value chain. For instance, AI will enable us to individually adapt each mobile radio cell to expected workload levels. It will anticipate spikes in local utilization rates, e.g., if there’s an open-air concert, and increase the antenna capacity as required. Likewise, it can put certain frequencies into sleep mode during periods of expected low demand, e.g., at night.
Optimize
by tailoring network settings to real-time customer usage data