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"Learn by Practice". Join us to learn and practice AI, Machine learning, Deep learning and Data Science technology together with like-minded developers.

Our goal is to congregate with AI enthusiasts from all over Madrid to learn and practice AI tech, through tech talks, hands-on workshops, code labs, hackathons, etc.. we regularly invite tech leads from innovated companies, successful startups to share their practice experiences and practices in the world of AI, Cloud, Data, Blockchain.

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  • AI Deep Dive (Virtual) - Federated Agentic AI

    AI Deep Dive (Virtual) - Federated Agentic AI

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    Important: Register on the to receive joining
    Event Website link. (rsvp on meetup will NOT receive joining link).
    This is virtual event for our AI global community, please double-check your local time.
    Can't make it live? Register anyway to receive the webinar recording.

    Welcome to the weekly AI Deep Dive Webinar Series (Virtual) with Rhino Federated Computing. Join us for deep dive tech talks on AI, GenAI, LLMs, Agentic AI, hands-on experiences on code labs, workshops, and networking with speakers & fellow developers from all over the world.

    Tech Talk: Federated Agentic AI: Unlocking Siloed Data at Scale
    Speaker: Tom Heys (Rhino) | David Solooki (Rhino)
    Abstract: Enterprise AI programs are stalling — not because the tools aren't good enough, but because the most valuable data can't move. Patient records, claims files, and cross-institutional transaction data are locked in silos that centralized AI pipelines and agent frameworks can't address.

    Rhino's Federated Agentic AI solution breaks that constraint: agents are built, evaluated, and run where the data lives, using the frameworks local teams prefer, and governed by a single control plane for the entire fleet.

    In this webinar, we'll demo how highly regulated organizations can deploy AI agents on decentralized data to create a unified, privacy-preserving context layer to drive understanding and action.

    Venue:
    virtual, join from anywhere.

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Photo of the user Veronica Katz Zajdel
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