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    How Hex Thinks Shared Context Will Unlock Enterprise AI ROI

    As enterprises move beyond AI pilots, shared context and open infrastructure will determine whether intelligent agents deliver measurable business value at scale.

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    How Hex Thinks Shared Context Will Unlock Enterprise AI ROI

    The enterprise AI conversation has changed. Over the past two years, organisations have invested heavily in large language models, copilots and generative AI applications, driven by the promise of greater productivity and faster decision-making. Today, however, boardrooms are asking a different question. Rather than debating which model to adopt, leaders want evidence that AI is delivering measurable business outcomes.

    That shift took centre stage at MachineCon USA on July 24, where Carlos Aguilar, Head of Product at Hex, joined leaders from Fivetran, dbt Labs and other enterprise data teams for a panel titled ‘The AI-Native Mandate: Building the Foundation for Measurable AI ROI’.

    The discussion reflects a growing consensus across the industry: organisations can no longer think of AI as a standalone capability. They need a foundation that enables people and AI systems to reason, collaborate and make decisions from the same trusted understanding of the business.

    Hex believes the biggest obstacle to scaling enterprise AI is no longer the model itself, but the context surrounding it.

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