Recent Blogs
Profisee CDO Malcolm Hawker on why AI-ready data depends entirely on the use case, and what a semantic layer can never fix about your customer records.
Claude went down mid-deadline. I switched to Codex and kept working. Why your context and workflows belong in files you own, not in a vendor’s product.
Capital One’s Amy Lenander and Christina Egea on curating data products, building for the hundredth use case, and why adoption is a listening problem.
Qlik CTO Sam Pierson on adaptable AI architecture, routing tasks to models that are 10x cheaper, and why AI token costs are decided before the model runs.
Stop counting em dashes. Unearned transitions show where AI-assisted writing fakes logic and where your draft needs real thinking.
Amin Venjara of ADP on why value equals data plus capabilities, and why the capability layer, not the model, decides what your AI can actually do.
April Dunford on why competitors can’t easily copy your software Listen now on YouTube | Spotify | Apple…
CDOIQ 2026 field notes on data quality and trust as the AI foundation, with Tom Redman, Fern Halper, H-E-B, and Apple on why AI exposes every weakness in your data.
CDOIQ 2026 field notes on the chief data officer role at 20 years, with Randy Bean, Richard Wang, and Peter Aiken on how AI is rewriting the job in real time.
CDOIQ 2026 field notes on the context problem behind agentic AI, with IDC, BARC, Capital One, and ADP on why agents are only as good as the data you feed them.
Field notes from 24 data and AI leaders at the 20th CDOIQ Symposium, grouped into three themes: agentic AI, the CDO role at 20, and data quality as the AI foundation.
Qlik’s Matt Hayes on why AI-ready data is a higher bar than analytics-ready, and how data freedom keeps enterprise AI both trustworthy and affordable.
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