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Workshop
In person
LeadersGoldDiscovery

Agentic AI: Architecture and standards for next-generation AI Agents

    • Date
    9 July 2026
    Timeframe
    14:00 - 17:15
    Duration
    3h 15 minutes
    • Days
      Hours
      Min
      Sec
    As Artificial Intelligence transitions from static models to autonomous agents capable of reasoning and planning, the industry requires robust technical foundations to support this shift. This workshop explores the emerging ecosystem of Agentic AI, with a focus on architecture and orchestration frameworks for multi-agent systems. We will explore interoperability protocols and standards to ensure safe, scalable, and transparent autonomous deployment across diverse technical environments.
    Beyond software frameworks, the session examines the convergence of AI and telecommunications, particularly how Agentic AI will shape next-generation AI-native networks (IMT-2030/6G). By analyzing the interplay between autonomous agents and network optimization, we will highlight use cases such as dynamic spectrum management for ultra-reliable low-latency communications, self-optimizing resource allocation in dense edge deployments, predictive traffic orchestration for massive IoT connectivity, and autonomous fault recovery in future network slicing architectures.

    As AI agents move into telecom networks, how do you know which model to pick for a given task? How do you know when a model is safe enough to be deployed autonomously? Other domains have agentic benchmarks: SWE-Bench for coding, Cybench for cybersecurity, and HealthBench for healthcare. No comparable benchmark exists for telecoms. In this session, Enrique will provide a practical overview of the current state of AI evaluation, across research and practice; how the field has shifted from LLM benchmarks to agentic ones; and why evaluation must be a core part of AI development, not a final step in a training pipeline. Evaluating an agent is methodologically distinct from evaluating a model output. Enrique will preview NOC-Bench, a benchmark GSMA is building to evaluate AI agents as network engineers. The session will explore how agentic evaluation must become standard practice across the industry, and how operators, researchers, and vendors must agree on shared evaluation frameworks rigorous enough for regulated deployment. Attendees will leave with a clearer view of what agentic evaluation in telecoms has to measure, and where today's frontier models actually stand.

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