Why the businesses that make data reliable, accessible and commercially useful deserve a place in the … Beyond the AI Model: The Investment Case for Data InfrastructureRead more
data quality
Rubbish in, rubbish out. Diamonds in, diamonds out.
Why we do not invest in AI promises, but in the layer beneath them, and why … Rubbish in, rubbish out. Diamonds in, diamonds out.Read more
The Data Readiness Crisis: Why Enterprise AI Pilots Stall Before Production
Enterprise AI has a production problem. Companies can build impressive pilots, yet many systems fall apart … The Data Readiness Crisis: Why Enterprise AI Pilots Stall Before ProductionRead more
AI Agents Need Context, Not Perfect Data: The Case for Risk-Based Data Quality
Gleb Mezhanskiy spent years building tools to make enterprise data clean. In March 2026, the Datafold … AI Agents Need Context, Not Perfect Data: The Case for Risk-Based Data QualityRead more
The Hidden Risks of Poor Data Quality in AI-Powered Organizations
I’ll admit it, I used to think data quality was just another IT checkbox. You know, … The Hidden Risks of Poor Data Quality in AI-Powered OrganizationsRead more