Kaniz Mahdi Joins TM Forum’s AI and Data Mission Board

Key Takeaways

• Kaniz Mahdi, AWS Director, joins TM Forum AI Mission Board.
• AI Native Blueprint launches MODaaS, Data Lifecycle, Agentic Security projects.
• Board aims to standardize AI across telco and cloud ecosystems.
• Initiative targets AI‑native foundations for upcoming 6G networks.
• Collaboration speeds trusted AI adoption in telecom operations.

Summary

TM Forum announced that Kaniz Mahdi, AWS Industries Director of Technology, has joined its AI and Data Mission Board. The board will steer the AI‑Native Blueprint, which debuted three core projects—Model as a Service, Data Products Lifecycle Management, and Agentic Interactions Security—at Mobile World Congress. Mahdi’s expertise in cloud‑first, AI‑driven network architectures is expected to bridge telco operators and cloud providers, accelerating the shift toward AI‑native, 6G‑ready networks. The initiative underscores a move from experimental AI to production‑grade, interoperable solutions across the connectivity ecosystem.

Pulse Analysis

TM Forum, the industry’s premier alliance of telcos and technology firms, has intensified its AI agenda by expanding the AI and Data Mission Board with AWS’s Kaniz Mahdi. This strategic addition reflects a broader consensus that artificial intelligence is no longer a peripheral experiment but a core operating layer for communications service providers. By convening operators, cloud giants, and standards bodies, the board seeks to codify interoperable frameworks that can scale AI responsibly across heterogeneous network environments.

The AI‑Native Blueprint, unveiled at Mobile World Congress, introduces three flagship initiatives: Model as a Service (MODaaS), which offers reusable AI models for rapid deployment; Data Products Lifecycle Management, a systematic approach to curating, versioning, and governing data assets; and Agentic Interactions Security, which safeguards autonomous network agents against emerging threats. Together, these projects address long‑standing pain points—model drift, data silos, and security gaps—while delivering the governance and consistency demanded by large‑scale operators. Early pilots reported up to 30% reduction in time‑to‑value for AI‑driven network optimization, signaling tangible operational benefits.

Mahdi’s appointment brings AWS’s deep cloud expertise and a track record of scaling AI from 5G edge use cases to enterprise‑grade workloads. Her focus on AI‑native, cloud‑first architectures aligns with the industry’s roadmap toward 6G, where real‑time intelligence will be embedded in the fabric of the network. The partnership promises accelerated standard adoption, shared tooling, and a unified metric set that can drive trusted outcomes. As telcos prepare for the next wave of connectivity, this collaboration positions the ecosystem to unlock new revenue streams, improve service quality, and maintain competitive advantage in an increasingly AI‑centric market.