A fresh Claude beat my battlecard prompt workflow
A fresh Claude wrote a better battlecard prompt than my 2025 version. Here's what AI GTM engineering adds once prompts come cheap, and 3 questions to ask.
Where should the chief data officer report? Randy Bean says sales
Randy Bean on where the chief data officer should report, the 42 percent technology reporting line, and why every CDO from last year's CDOIQ panel is gone.
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.
What AI GTM engineering is
Three people counted the same job and got three answers. A working definition of AI GTM engineering, and why the scarce skill is not the engineering.
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.