Tribal knowledge is the AI context layer nobody names
Clarifeye's Ken Sanford on the AI context layer nobody names: the tribal knowledge in experts' heads, who should write your AI skills, and who should own them.
The AI slowdown already happened inside your company
The AI slowdown already happened in the enterprise: 56% of CEOs see no AI payoff yet. Why human in the loop keeps AI stuck, and three fixes to start.
The perfect storm behind the tech job market
Executive recruiter Jim Jinright on why interest rates and overhiring, not AI, stalled the tech job market, and why judgment is what companies pay for now.
Your AI stack will be wrong in 12 months
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.
The AI tell hiding between your sentences
Stop counting em dashes. Unearned transitions show where AI-assisted writing fakes logic and where your draft needs real thinking.
Data in one place is not value
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.
AI will expose every weakness in your data
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.
20 years in, the chief data officer’s job is being rewritten
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.
Agentic AI is only as good as the data you feed it
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.
What data leaders actually fear about AI
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.