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AI doesn’t start with algorithms. It starts with data flow.
In this episode of the First-Mile Podcast, we sit down with Patrick Harrington, Head of AI & Machine Learning at MetaRouter, to cut through the noise and talk about where real AI capability is actually being built.
Patrick explains why most AI systems today still operate like archaeology—analyzing the past instead of shaping outcomes in the moment—and why the real breakthrough happens in the first mile, where data is created, identity is resolved, and intent is revealed in real time.
We explore what it means to hold a privileged position in the data flow, why bot detection is fundamentally a data quality and behavior problem, and how AI becomes powerful only when learning compounds across use cases—not when it’s treated as a feature.
If you’re tired of AI hype and want a grounded conversation about real-time intelligence, server-side infrastructure, and how AI actually drives commercial outcomes, this episode is for yo
By MetaRouterSend us a text
AI doesn’t start with algorithms. It starts with data flow.
In this episode of the First-Mile Podcast, we sit down with Patrick Harrington, Head of AI & Machine Learning at MetaRouter, to cut through the noise and talk about where real AI capability is actually being built.
Patrick explains why most AI systems today still operate like archaeology—analyzing the past instead of shaping outcomes in the moment—and why the real breakthrough happens in the first mile, where data is created, identity is resolved, and intent is revealed in real time.
We explore what it means to hold a privileged position in the data flow, why bot detection is fundamentally a data quality and behavior problem, and how AI becomes powerful only when learning compounds across use cases—not when it’s treated as a feature.
If you’re tired of AI hype and want a grounded conversation about real-time intelligence, server-side infrastructure, and how AI actually drives commercial outcomes, this episode is for yo