How AI-powered automation is driving energy savings and sustainability across European telecom networks
The partnership between Tupl and Deutsche Telekom exemplifies how open AI ecosystems drive transformative innovation in the telecom industry. By leveraging an MLOps platform, Deutsche Telekom is scaling AI across departments while Tupl's technology optimizes operations through closed-loop automation — balancing cost reduction and network performance.
Breaking Down Silos to Scale AI
Deutsche Telekom is deploying a Machine Learning Operations (MLOps) platform as a harmonized development environment. This enables seamless deployment of common AI models and multiple machine learning use cases across different departments and regions — fostering innovation through shared tools, shared data, and shared resources.
For vendors like Tupl, this open ecosystem approach means being able to deliver use-case-specific AI solutions at scale, with the infrastructure to support deployment across an entire European footprint.
Tupl's AI-Powered Energy Savings Initiative
Tupl's CEO Petri Hautakangas highlighted support for Deutsche Telekom's energy-saving initiatives across multiple European countries. Tupl's AI solution moves beyond traditional static energy management, instead continuously optimizing settings based on predefined operator strategies. The rollout now covers eight to ten European countries.
The AI solution evaluates each cell's traffic patterns, neighboring cell loads, and time-of-day factors to dynamically adjust energy-saving parameters. When traffic is low, the system applies deeper sleep modes; when traffic increases, it restores capacity instantly — all without manual engineer intervention.
The Role of MLOps in AI Scalability
Tupl's approach is use-case-driven, ensuring measurable value at each step before expanding scope. The MLOps platform significantly reduces time to process and utilize data, accelerating the transformation cycle from months to mere days. An example from T-Mobile US showed evolution from six to over 40 data feeds as the platform matured.
The Future of AI in Telecom: GenAI and Beyond
Looking ahead, Tupl has secured commercial agreements to deliver GenAI-driven functionalities into production — bringing conversational AI interfaces to network operations and enabling engineers to query network state, request diagnostics, and initiate automated workflows through natural language.
Key Takeaways for Industry Players
For Operators:
- Break down data silos to accelerate AI's value realization across the organization
- Treat software vendors as strategic partners with shared objectives
For Vendors:
- Prioritize agility and adaptable AI solutions that fit into existing operator workflows
- Ensure AI transparency and explainability in every decision
Conclusion
The Tupl–Deutsche Telekom collaboration demonstrates how open AI ecosystems and closed-loop automation can unlock efficiency, cost savings, and sustainability in telecom operations. With Tupl's energy-saving AI solution now live across Europe, the partnership serves as a blueprint for how the industry can move from AI pilots to at-scale production deployments that deliver measurable impact.
About Tupl
Tupl is the proven AI automation company for telcos. Powered by TuplOS, our AI-native automation system, we bring network and customer operations into one governed workspace, so your expert knowledge stays with you and grows. Since 2014, we've combined startup agility with deep telco expertise to help operators modernize operations, unlock autonomous networks, and deliver superior customer experience.