ONE Summit 2025 in London Summary
ONE Summit: seeOpen Networking & Edge Summit 2025 Schedule & Directory
AI-RAN by Alex Jinsung Choi, AI-RAN Alliance, SoftBank Corp. : https://static.sched.com/hosted_files/onesummit2025/87/Linux Foundation Open Networking and Edge Summit 2025_Alex Jinsung Choi.pdf?_gl=1*15q9wq1*_gcl_au*MzI4OTA3MTU1LjE3NDM5NzY0MDk.*FPAU*MTQ4NTA4MTMxMy4xNzM2NTE1MDA0
AI-RAN and Open Source: Building Scalable Dataset Pipelines for AI Training
Accelerating AI development for RAN optimization and automation
The evolution of Telecom networks into AI platform
AI - Lessons learnt from CMCC by Dr. Junlan Feng
Challenges understanding and hallucination collaboration vs. AI ton enable large scale complex system
Evolve to level 4 advanced autonomous network by 2025
Build AI platforms to address network complexity, shorten innovation cycles, and lower R&D barriers
Unified portal; automated closed loop; from invisible to visible ; world model aided RAN parameter adjustment and evaluation
Inference aided handover parameter, adaptive multi-receptive field spatial temporal graph network for traffic forecasting;
Injecting global information into independent channels for long time series forecasting; graph-based decomposition approach for cellular traffic prediction; human trajectories generation based on variational point processes
New model of open collaboration for AI+Network
OMDIA: an industry analyst’s perspective on Telco Cloud
Network functions becoming cloud native
Moving from ETSI NFV to GitOps-based frameworks
Cloud-native as enabler for autonomous networks
Moving to a horizontal cloud for IT and network functions
EdgeAI by STL Partner
$100 billion opportunity; the edge AI leverages edge computing for certain AI workloads
Network Infrastructure to APIs - how Open Source enables speed of invocation and monetization by DT
Why does DT build a SMO platform based on ONAP?
History of T-NAP / TaaS OS evolution, including ONAP, along with O-RAN SMO
Vendor independence, network differentiation, short lifecycles …
use of CAMARA, Aduna, others
InstantX: Vodafone’s edge innovation for the future of Telco
Safer transport for Europe Platform (STEP) - Vodafones enterprise V2X (vehicle to everything) service
InstantX - Vodafones projects with LF Edge - ensuring the secure and reliable exchange and distribution of data in real-time between users in a certain geography
IOWN Global Forum and Open Source - Key enablers for next decade by IOWN Technology Director
IOWN global forum’s areas of activity
an industry consortium established in 2020 by NTT, Intel and Sony
Open all-photonic network (APN); Digital Twin computing; Cognitive Foundation, integrating AI and ML for network
AI Framework for Networking and Responsible AI by Infosys
Why AI for Networking and a Framework? ; roadmap towards digital brain (plan & design slice, testing slice, assurance slice) thru agents;
Why responsible AI? ; Enhanced security, data privacy, explainable AI, Fairness/Bias mitigation, Versatility)
E2E framework approach for AI in networks
Open Networking Operation System for all, by Peter Plak from Dell Technologies
Dell networking use cases including ISG, DC to Edge, merging AI fabrics
SONiC use cases in Microsoft; Kubernetes based SONiC Device Management; AI Traffic characteristics and solutions
AI 101 for Networking and Edge by Fatih Nar - RedHat, Ranny Haiby - LF
AI adoption for networking and edge computing is accelerating
Enterprise AI use; Real world AI consumption Example, DeepSeek Impact using MoE (neural network design where only a subset of model components (called experts) are activated for a given input
Agentic life; deployment architectures (Centralized vs. Distributed, Hybrid with workload assessment & placement)
Security is not an external component; Telco-AIX; Ent-ObX (Observability experiments); Domain Specific AI
Panel discussions: Spotlight on innovation: the latest developments shaping open source networking (Lingli Deng - CMCC, Olaf Renner - Nokia, Ciaran Johnston - Ericsson, Ranny Haiby - LF)
A journey towards automated Telco Cloud by Odline Labs, Turkcell
their Telco Cloud Automation architecture, including ONAP
Why do they choose ONAP? ; Alignment with ETSI MANO; Open-Source, vendor-neutral benefits, Active community and roadmap, new modular architecture - ONAP streamlining, ONAP’s capabilities on orchestration, policy, closed-loop automation, synergy with other LF projects and AI roadmap
Architecture:
Expectations from the ONAP project and community
better CNF lifecycle support (helm, k8s-native orchestration, simplified onboarding workflows and model tooling, enhanced modularity and testability
More hands-on tutorials and quick-start guides, alignment with ETSI MANO evolution, Foster feedback channels between users and developers, promote interoperability across ecosystem tools
LF - Horizontal and vertical foundations, panel discussion Dr Junlan Feng from CMCC, Johnne Sominent from Nokia, christian Olrog from Ericsson, Arpit Joshipura from LF -
relationships (manufacturing, energy, gas, commerce & retail, automotive, Fleet & transportation, building automation, cities & government
LFN, collaboration hub for opensource networking, edge and access
Pushing local innovation with global collaboration - all built off open standards and open source
APAC & China: Networking contribution / leadership
India strategic drivers - LF India launched in Dec 2024 to enable India’s growing open source ecosystem across telecom, blockchain, edge, security, cloud
EU Open Source Networking Drivers - DT deploys ONAP in O-RAN TOWN, CAMARA, 6G SNS, Sylva
Technology 2025 - reality check; cloud-native is in over 2/3 networks/product deployment, domain specific AI focus on AI frameworks and data sharing (2 new project in LFN Essedum, LF Salus)
Edge - Cloud continuum & AI+data at Edge are two main focus areas
Network monetization with CAMARA APIs reaching peak awareness and early adoption