About

Most data workflows today weren’t designed for effectiveness. They evolved as workarounds.

From Excel spreadsheets to notebooks to “upload and analyze” tools, we’ve optimized for familiarity, independence, and speed in the moment. Not because these are ideal, but because the underlying process is full of bottlenecks. Data access, preparation, compute, tooling, and coordination all introduce friction, so teams route around them. The result is a system that works, but doesn’t scale, doesn’t compound, and constantly resets.

In this talk, we reframe modern data work as a series of adaptations to those constraints. Then, through a live demonstration, we show what changes when those bottlenecks are removed. Starting from a vague question on real data, we move to a decision-ready result in a single continuous loop, without switching tools, waiting on systems, or rebuilding work.