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    Founders & Funders: LatAm Edition

    AWS GenAI Loft | San Francisco

    Day:

    -

    Time:

    -

    Type:

    IN PERSON

    Language:

    English

    Level(s):

    200 - Intermediate

    From AI-driven automation to context-aware decision systems, discover how cutting-edge innovations are transforming how we manage, analyze, and act on data.

    ​This intimate gathering will feature opening remarks, three visionary talks, and an all-star panel of industry leaders sharing real-world insights. Whether you're a data engineer, AI practitioner, or business strategist, you’ll leave inspired and equipped with fresh ideas for the future of data and AI.

    ​Our panelists will explore how agents are transforming data strategy, governance, and analytics, sharing hard-won lessons from the frontlines.

    ​This is your chance to hear unscripted, expert conversation on the most important innovations shaping the future of data.

    ​This event will be photographed, by registering for this event you will be consenting to being recorded.

    Agenda

    ​🍽️ Food & beverages provided.
    🎟️ Space is limited — RSVP now!

    This event is brought to you by the following organizations.

    Data for AI

    ​Every month, we host packed in-person events featuring expert speakers, all-star panels, and hands-on discussions shaping the future of AI, featuring the flagship Open Source Afterparty.

    ​📅 RSVP for upcoming events on Luma.
    📲 Follow Data for AI SF on LinkedIn.

    Datastrato

    ​Datastrato is the Open Data Fabric Platform to accelerate trusted AI. Powered by Apache Gravitino™, Datastrato helps organizations supercharge their data foundation for analytics and AI—no matter where their data lives. Enterprises use Datastrato to power AI-ready data operations across structured, unstructured, and streaming sources.

    ​📚 Learn more about Apache Gravitino, the open source engine behind Datastrato.
    📲 Follow Datastrato on LinkedIn.
    🖥️ Explore demos and talks on Datastrato’s YouTube channel.

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