PinnedAre We In An AI Bubble?Here’s how to make sure your team avoids problematic bubble behavior.May 9A response icon1May 9A response icon1
The AI Corpus Problem—Why Quality Requirements Are Moving UpstreamBefore we can talk about the new AI corpus, we need to look backward.Aug 19A response icon1Aug 19A response icon1
The Data Engineer’s Guide To Root Cause AnalysisPractical tips to trace, troubleshoot, and fix data quality issues fast.Jul 18Jul 18
Published inTDS ArchiveTop 10 Data & AI Trends for 2025Agentic AI, small data, and the search for value in the age of the unstructured data stack.Dec 16, 2024A response icon36Dec 16, 2024A response icon36
What Allan Lichtman’s failed presidential prediction teaches us about dataBefore last week, Dr. Allan Lichtman had accurately forecasted 9 of the last 10 U.S. presidential elections.Nov 12, 2024A response icon1Nov 12, 2024A response icon1
Data quality management in the age of AIOver the last 12 months, data quality has become THE problem to solve for enterprise data teams — and unsurprisingly, AI is driving the…Oct 9, 2024A response icon2Oct 9, 2024A response icon2
Your data quality strategy should be automated — here’s where to startDid you know data analysts often spend more time writing tests for data than they do driving value from it?Sep 27, 2024Sep 27, 2024
Who owns data quality? And when?A practical framework for how to pass the data quality baton across teams.Sep 10, 2024Sep 10, 2024
Why Third-Party Data is Still Your Biggest RiskIn the AI era, third-party data is your kryptonite. Here’s why and what you can do about it.Aug 15, 2024A response icon1Aug 15, 2024A response icon1
Citigroup Fined $136M for Bad Data. What Can We Learn?Bad data isn’t just a headache — it’s a huge financial risk.Jul 31, 2024A response icon1Jul 31, 2024A response icon1
