The latest episode of the "Talking Transformation" podcast brings together industry perspectives from Appledore Research and Radisys to discuss a critical turning point for telecommunications. As broadband shifts from a modern luxury to an essential utility, operators are challenged to reconcile "commodity" service status with the need for rapid, continuous innovation.

The conversation features Hans-Jörg Kolbe and Robert Soukup from Radisys, who detail how their Connect Modular Broadband (CMB) solution is enabling operators to take back control of their technical destiny.

For a free and independent research report go to: https://appledoreresearch.com/report/radisys-connect-modular-broadband/

Key Highlights & Strategic Insights

1. The "Design to Cost" Revolution

The genesis of Radisys’ modern broadband approach stems from a radical "Design to Cost" initiative at Deutsche Telekom, heavily inspired by the automotive industry (specifically BMW). By "tearing apart" hardware and software to create total transparency, Radisys applied lean manufacturing principles to telecom, identifying cost drivers and rebuilding systems from a "clean slate" to achieve step-change improvements in efficiency.

2. Architecture Built on Intent and Abstraction

At the heart of the CMB solution is the move away from rigid, proprietary "black boxes" toward a modular, software-defined architecture.

* Abstraction

* Intent-Based Networking

3. Real-Time Agility with Subscriber Session Steering

The podcast highlights the power of **Subscriber Session Steering (BBF WT474)**, which allows the network to detect a "first sign of life" from a device and dynamically program its path through the network on the fly.

4. Setting the Foundation for AI

While AI is the industry’s "hot topic," the guests argue that AI is only effective when built on a clean foundation. Radisys views automation in three steps:

* Programmability: Ensuring the network can actually react to AI-driven commands.

* Normalized Data: Correlating high-quality telemetry data so AI agents have a semantic understanding of the network.

* AI Orchestration: Deploying agents that provide meaningful recommendations based on real data rather than just statistical guesses.

5. The "Open Radisys" Philosophy

In a move toward true **technological sovereignty, Radisys champions an "Open" philosophy. Unlike traditional vendors, Radisys offers complete transparency, allowing operators to:

* Inspect and contribute to the source code.

* Join internal testing and development cycles.

* Perform software builds on their own premises to ensure maximum security and trust.

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Talking Transformation: Navigating the AI Revolution with Orange

In this episode of Talking Transformation, Robert Curran sits down with Olivier Simon, Head of Data and AI Initiatives at Orange, to explore the front lines of telecom’s autonomous future. With over 300 million customers across 26 countries, Orange is a global leader driving the industry toward Level 4 autonomous networks—a state of closed-loop, self-healing automation.

• Strategic AI Implementation: Simon outlines how Orange utilizes AI across the entire network lifecycle, from optimizing multi-billion euro investments in site placement to fine-tuning thousands of radio access network (RAN) parameters.
• Driving Real ROI: The conversation delves into the pragmatic approach of targeting "high-cost pockets." For a group like Orange, where field services exceed €2 billion annually, even a 4–5% efficiency gain through AI and computer vision results in tens of millions of euros in savings.
• The Power of Digital Twins: Discover how Orange is breaking down traditional data silos. By creating digital twins, they build a unified representation of complex, multi-domain networks to automate incident management and analyze service impact in real-time.
• The Shifting Telecom Ecosystem: The episode examines the evolving boundaries between traditional operators, vendors (like Nokia and Ericsson), and hyperscalers (Google, AWS, Microsoft). Simon highlights how the "rules of the game" are changing as data-native companies enter the network space.
• Agile Innovation in the Era of GenAI: With AI technology accelerating at an unprecedented pace, Orange has shifted from long-term project cycles to pragmatic six-month cycles. This allows them to stay current with breakthroughs like Generative AI, Retrieval Augmented Generation (RAG), and AI agents.

This episode offers insight on how this pioneering operator is balancing long-term visionary goals with immediate operational efficiency. Essential listening for industry professionals looking to understand the cultural and technical shifts required to move from traditional standardization to a fast-paced, IT-centric way of working.

As the industry moves toward a "super intelligent" future, Simon provides a roadmap for staying relevant: be pragmatic, embrace open source, and prioritize short, impactful innovation cycles.

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Hosted on Acast. See acast.com/privacy for more information.