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.
Data quality is everybody’s job when the alert means 140 million people
Intuit Credit Karma's Veenit Shah and Puneet Singh on data quality at scale: five pillars across 40,000 columns and the AI agent that came last.
AI-ready data is the wrong question
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.
When Claude goes down, does your marketing stop?
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.
Build data products for the hundredth use case
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.
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.
The death of SaaS is a myth
April Dunford on why competitors can’t easily copy your software Listen now on YouTube | Spotify | Apple Podcasts |...
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.