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OnlineDiscovery - AI/ML in 5G

Challenge launch: Generative AI applications for enterprise scenarios using OPEA

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    • Date
    1 April 2026
    Timeframe
    12:00 - 13:00 CEST Geneva
    Duration
    60 minutes
    • Days
      Hours
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    The rapid adoption of generative AI is driving a mass transition from laboratory research to real-world industry applications. Yet enterprises are under increasing pressure to integrate these advanced capabilities, such as large language models, into their core business systems securely, efficiently, and cost-effectively.

    There are significant challenges to build truly viable, enterprise-grade AI solutions, including fragmented technology stacks, complex toolchains, and the difficulty of balancing performance with total cost of ownership, creating a high barrier to moving from prototype to production deployment.

    To address these challenges, we propose a challenge to build designs using existing technologies and modular AI components.

    This competition emphasizes how existing technologies and modular AI components can be adapted and composed to solve practical problems in real-world business scenarios, including the network. Participants are expected to develop enterprise-grade AI applications, including RAG AI pipelines, enterprise document assistants, intelligent planning agents, or task-specific chatbots, tailored to verticals like telecommunication networks, education, finance, healthcare, manufacturing, or public service.

    Exciting Prizes to be Won!
    1st Prize: CHF 5000
    2nd Prize: CHF 3000
    3rd Prize: CHF 1500

    The challenge is available on: https://competition.aiforgood.itu.int/web/challenges/challenge-page/492/overview

    Learning Objectives:

    By the end of this challenge, participants will be able to:

    • Design modular AI architectures using existing technologies and components to build scalable, enterprise-grade solutions.
    • Develop practical AI applications such as Retrieval-Augmented Generation (RAG) pipelines, enterprise document assistants, intelligent planning agents, or task-specific chatbots.
    • Demonstrate a prototype solution that applies modular AI components to address a practical business or network-related problem.

    Recommended Mastery Level / Prerequisites:

    This challenge is recommended for participants with intermediate knowledge of artificial intelligence and software development, particularly those interested in building practical generative AI applications.

    Participants should ideally have:

    • Basic familiarity with Large Language Models (LLMs) and generative AI concepts.
    • Experience with Python programming and modern AI development frameworks.
    • Understanding of API integration and modular system design.
    • Familiarity with tools for building RAG pipelines, AI agents, or chatbot systems.
    • Experience using collaborative development platforms such as GitHub.

     

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    Challenge launch: Generative AI applications for enterprise scenarios using OPEA

    Challenge launch: Generative AI applications for enterprise scenarios using OPEA

    1 April 2026 - 12:00 to 13:00

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