It’s a wrap for the TM Forum’s DTW Ignite 2025. Last week, our team was on site showcasing demos on our intent-based agentic AI offerings, as well as participation in two Catalysts (which both took home awards), namely – Agentic ODA for Proactive Customer Experiences and SATCOM with an Edge – Phase III, and more.
Excitement was high at the event, with the main themes around autonomous networks, AI and data . The spotlight of course on agentic AI but it also turned to the network side of the industry, which is rapidly becoming more software-centric, as operators increasingly demand an end-to-end, unified view of their operations.
Here is a breakdown of some of the key areas of interest:
TM Forum members officially launched work on the AI-Native Blueprint, which will include best practices and standards for AI operations (AIOps), agentic AI, security, governance, and data architecture. Whether operators are developing their own AI solutions, using open-source tools, or taking an AI-as-a-service approach, like with all technologies, the potential for misuse remains enormous.
The idea of the AI-Native Blueprint is to define the foundational capabilities, principles, and operational enablers needed to embed AI natively into the architecture and operations of telecom operators. In addition, it is intended to support scaling AI safely and sustainably from experimentation to production, enabling trusted, governed, and interoperable AI. We believe that progress in the industry will only be enhanced by projects like the AI-Native Blueprint project that fosters collaboration, addresses gaps in the market, and is aligned with real-world operational needs.
It’s safe to say that agentic AI took center stage at DTW this year. This is not surprising, as the industry is moving at a rapid pace with disruptive technology. Rakuten, for example, introduced the Rakuten AI Assistant tool, which utilizes text, voice, and images to connect users to the entire Rakuten ecosystem. In his keynote address, Ting Cai, Chief AI and Data Officer at the Rakuten Group, recalled how the shift to agentic AI is “accelerating the transformation of telcos into dynamic personalized ecosystem platforms, driving customer loyalty and unlocking new revenue streams.
A keynote panel discussion between Axiata Digital Labs, Deutsche Telekom, Telus and Vodafone Group executives addressed ways they are using this AI technology to drive sales and customer engagement, improve operational efficiency and increase innovation across their organizations.
Propelled by how telcos will continue to use AI to build on 5G infrastructure to shape networks and improve customer experiences, Open Digital Architecture (ODA) took the spotlight with 18 CSPs, including Verizon and Entel Chile, running on ODA. The toolkit is designed to help plan, design, build, and operate a cloud-native telco, making it easier and less costly to deploy, integrate, and upgrade with other solutions, including OSS/BSS components.
An additional area highlighted at the conference included industry-wide collaboration around agentic AI to extract the best of this technology. This can be seen from the Catalyst programs, an example of which is the agentic Open Digital Architecture (ODA) Catalyst that RADCOM participated in, alongside Telus, Verizon, Vodafone, and others. This joint project embeds AI agents to proactively engage with customers and systems across business domains, interacting with them before problems arise – all autonomously. Enhancing ODA standards, the Catalyst aimed to support AI-to-AI operability and shift telecom operations from reactive containment to predictive care.
Autonomous networks re-emerged as a central theme, fuelled by progress in intent-based architectures and a sharper focus on how automation is reshaping customer experience.
TM Forum launched the Autonomous Networks (AN) Levels Assessment Service (ANLAV) to provide an independent, validated, and industry-certified benchmark of excellence, designed to accelerate operator confidence and investment in advancing to AN Level 4. As Nik Willets, CEO of TM Forum, said in a statement… “We are not just imagining the future of autonomous networks, we are building it together…Our members are now deploying AN Level 4 capabilities in live networks, building and certifying AI-ready, composable IT systems, and operationalizing the frameworks to scale AI safely.” Telefonica and other CSPs revealed their milestones for reaching Level 4 network automation, including TDC Net and China Telecom.
“This year we achieved our first two AN Level 4 milestones,” said Nilmar Seccomandi David, Director of Autonomous Network and Infrastructure for Telefonica, “By reaching Level 4 in these use cases, based on ANLET, we are not only realizing internal cost benefits and improvements in customer experience but also setting the foundation for a future where networks are truly self-optimizing and adaptive.”
Driving automation through advanced intelligent service assurance is a key capability of RADCOM, whether it is an automated lifecycle, providing efficient scaling and high network availability, to automated real-time insights with AIOps capabilities.
At the show, RADCOM highlighted our expertise, as the first assurance vendor to leverage agentic AI to expand beyond traditional service assurance domain. Integrating workflows between assurance solutions and service management systems, our solutions improve fault monitoring and customer services for operators by supercharging the customer complaint, ticketing and fault resolution process.
RADCOM explained to visitors how our technology collects data from numerous sources spread across the network, often in silos, and offers a comprehensive understanding of the network, from end-to-end. With reliable, granular-level data to help power agentic AI’s reasoning and automation capabilities, this also protects against bias that often compromises the reliability of AI agents.
All in all, it was a successful show. Thank you to our partners, customers and visitors to our booth and Catalyst programs. We look forward to seeing you next year!
For more information on RADCOM’s solutions, visit https://radcom.com/solutions/
