By AIM Media House · AIM Media House
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. As Aguilar puts it, “Models are commoditising fast. Context isn’t.
Every agent, workflow, and application pulling from a different, ungoverned understanding of the business doesn’t produce intelligence; it produces inconsistency at scale.
Shared context is becoming as fundamental to the AI stack as the database was to the application stack.” The same shift is visible across the broader AI ecosystem. As Remy Thellier, Head of AI/ML Partners at Snowflake, notes, “C-suites aren’t asking for another AI pilot.
They want to see it working in production, with numbers behind it.
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