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Microsoft showcases agentic AI and ODA integration for telecom at TM Forum DTW 2025

June 13, 2025•Rick Lievano•Original Link•3 minutes
Telecommunications
ArtificialIntelligence
Microsoft

Microsoft demonstrates how combining TM Forum's Open Digital Architecture with agentic AI drives measurable business outcomes for telecom operators at TM Forum DTW Ignite 2025.

Microsoft is set to showcase the transformative potential of combining TM Forum’s Open Digital Architecture (ODA) with agentic AI at TM Forum DTW Ignite 2025 in Copenhagen. This integration aims to help telecom operators transition from reactive operations to proactive, self-optimizing systems, addressing universal priorities like breaking down silos, unlocking data value, and accelerating innovation.

Microsoft’s Collaboration with TM Forum

Microsoft has been a key contributor to TM Forum initiatives for over two decades, coauthoring Open APIs and chairing working groups. The ODA has become a focal point, with Microsoft aligning Azure cloud-native foundations with ODA’s composable blueprint. This collaboration has yielded:

  • ODA Observability Operator: An open-source tool on GitHub that standardizes logging and integrates with Azure Monitor, significantly reducing detection times for billing anomalies.
  • ODA Landing Zone for Azure: Infrastructure-as-code templates for ODA-compliant environments.

The "Growing B2B with autonomous agents" catalyst project, involving Vodafone and others, leverages ODA to transform B2B sales using generative AI for flexible quoting and commerce.

Network Monetization and AI Copilots

Microsoft’s engagement with CAMARA and GSMA Open Gateway enables operators to monetize network APIs, now available on the Azure Marketplace. These APIs, standardized by CAMARA, include SIM swap detection and real-time device location.

Network Operations Agents, built with Azure AI Foundry, autonomously diagnose and remediate network issues. MEO’s Cristina Moura Rebelo highlights:

"The first steps with Azure AI Foundry unlocked scalable use cases, delivering efficiency and outcomes."

At DTW, Microsoft will unveil the Network Operations Agent Framework, a reference architecture for deploying AI agents in weeks.

Unified Data and Agentic BSS

The Telco Analytics POC Accelerator on Microsoft Fabric unifies fragmented data, enabling real-time insights. Lumen’s Jerod Ridge notes:

"Fabric unites data flows, storage, and analytics in one experience."

Microsoft’s agentic BSS proof of concept uses Copilot Studio to streamline workflows, such as order upgrades and fallout resolution. KPN’s Pierrette de Leeuw-Koumans adds:

"Copilot for Sales provides real-time data to prepare customer conversations."

Industry Momentum

Partners like Amdocs, Nokia, and Accenture are already operationalizing these innovations. For example:

  • PLDT uses Amdocs’ AI-powered Customer Engagement Platform.
  • Nokia’s NetGuard Cybersecurity Dome secures 5G networks.

Next Steps

Operators can start small, instrumenting high-impact scenarios with unified data and focused AI agents. Microsoft invites the industry to explore these solutions at DTW 2025 and via the Microsoft Telecommunications Industry hub.

"Agentic AI amplifies human expertise, scaling excellence without sacrificing personalization."

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Claudionor Coelho Jr, Chief AI Officer at Zscaler, discusses AI's rapid evolution, cybersecurity challenges, and combining rule-based reasoning with generative models for enterprise transformation.

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August 18, 2025•Bryan Wassel

Human-AI collaboration boosts customer support satisfaction

AI enhances customer support when used as a tool for human agents, acting as a sixth sense or angel on the shoulder, according to Verizon Business study.

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About the Author

Dr. Sarah Chen

Dr. Sarah Chen

AI Research Expert

A seasoned AI expert with 15 years of research experience, formerly worked at Stanford AI Lab for 8 years, specializing in machine learning and natural language processing. Currently serves as technical advisor for multiple AI companies and regularly contributes AI technology analysis articles to authoritative media like MIT Technology Review.

Expertise

Machine Learning
Natural Language Processing
Deep Learning
AI Ethics
Experience
15 years
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120+
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