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
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 icon37Dec 16, 2024A response icon37
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
Published inTDS ArchiveMost Data Quality Initiatives Fail Before They Start. Here’s Why.Show me your data quality scorecard and I’ll tell you whether you will be successful a year from now.Jul 23, 2024A response icon1Jul 23, 2024A response icon1
Survey Says: Data Quality Management Isn’t Evolving Fast Enough for AIEach year, Monte Carlo surveys real data professionals about the state of their data quality. This year, we turned our gaze to the shadow…Jun 25, 2024A response icon3Jun 25, 2024A response icon3
