The State of AI Infrastructure
Why most companies extract nothing from artificial intelligence, and what the ones who do are doing differently
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501(c)(3) nonprofit improving data literacy and math outcomes in underserved schools, founded in San Antonio, TX.
Six-hundred fifty billion dollars. That’s what hyperscaler companies are committing to AI in 2026.
Like many data practitioners, I have a love-hate relationship with SQL. I like how it’s mostly standardised, portable, popular, and lets you express complex logic. But I also dislike how it can sometimes feel clunky and hard to read.
This team of engineers had built something remarkable: intelligent agents that could parse documents in seconds, respond around the clock, and surface insights from oceans of unstructured data.
Picture a room with twenty highly-paid data engineers. At the front stands an instructor, a specialist brought in for a significant fee to teach the team a new, game-changing technology like Polars
What does it really take to run a successful data consulting business solo? Seattle Data Guy reveals the unfiltered truth—from first clients to burnout and beyond.
