Research

Data-driven findings highlighting the gap between data, AI, and reality.

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Featured Research

$617B
The Hidden Cost Of Dirty Data

We scaled Gartner's $12.9M enterprise benchmark across 8.36 million U.S. businesses. The national total: $617 billion annually.

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46%
Hiring Robots Before Mechanics

RAND Corporation research shows 80%+ of AI projects fail. We analyzed 187,000+ job postings to find out why - which found a 46% gap in job listings for AI roles vs. more foundational data ones.

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7%
The AI Talent Gap

We analyzed AI hiring trends and found only 1.3% of companies had hired anyone trained in AI to run it, while just 7% (1 in 14) of companies say the lack of a skilled AI workforce is a problem ... but a majority (62%) said AI didn't have any application to their business.

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See The Methodology Behind The Research

The 8 Domains, the 4 Rs, and the 4 Ps ... the same framework every finding here is built upon.