Driving innovation through
Open Digital Architecture
We are proud to be part of TM Forum’s Open Digital Architecture (ODA) Component initiative, an industry-wide move toward smarter, modular, and AI-driven telecom systems.
- Modular, plug-and-play components
- Standardized APIs for easy integration
- AI-native foundations for automation and agility
It’s a new approach to building and operating telecom systems. It replaces traditional, monolithic stacks with:
Championing open standards
Enabling automation at scale
Delivering modular AI solutions
Why it matters:
Highlighted
components
Intelligent Management
Our products enable comprehensive monitoring and management of end-to-end service performance and resource availability. This includes real-time and historical analysis, trend forecasting, and proactive maintenance to ensure reliable and efficient service operations
[TMFC037, TMFC038]
Core Commerce Management
Our products provide standardized mechanisms for creation, update, retrieval, import and export of a collection of usages
[TMFC040]
Production
Our products enable the definition, configuration, and delivery automation of service attributes to ensure a well-organized and efficient service catalog and delivery, as well as covering geographic information related operations
[TMFC006, TMFC014]
Party Management
Our products allow to manage and expose roles and related permissions
[TMFC035]
Catalyst Projects
Our active role in TM Forum’s Catalyst Projects is a clear reflection of our commitment to transforming the telecom industry.
We’re actively involved in two key initiatives driving intelligent transformation:
Autonomous CEI for Zero-Touch 5G and Wi-Fi Networks – Phase V
As digital services evolve and networks grow more complex, ensuring seamless customer experience (CX) is both a challenge and a priority for telecom operators.
In Phase V of the TM Forum Catalyst project—”Autonomous CEI for Zero-Touch 5G and Wi-Fi Networks”—Telefonica and Elisa are leading efforts to deliver proactive, sustainable, and autonomous CX using Generative AI, automation, and CEI analytics. Supported by Medux, Tupl, Optare Solutions, Being, and Wipro, the project builds on years of CEI innovation and automation.
This phase introduces four new use cases centered on sustainability, Generative AI, and convergent networks.
AI-Driven Energy Management for 5G RAN
With the RAN consuming nearly 70% of total network energy, effective energy management is crucial to meeting financial and sustainability goals.
This Catalyst explores AI-driven, autonomous solutions that learn, predict, and manage RAN energy use in real time. The team is developing an AI-based system that dynamically adjusts RAN power levels based on real-time traffic, energy data, environmental factors, and network topology.
During low-traffic periods, it can reduce energy use by placing RAN components in low-power states—without impacting performance.