It’s the end of BI as we know it (and I feel fine)
Is BI dead? Orion by Gravity CEO Lucas Thelosen, ex-Google, on AI analysts, why few people open dashboards, and the BI basics an AI analyst still needs.
What AI think does to critical thinking at work
Leigh Felton on AI think, the habit of publishing what gen AI produces unchecked, and what it costs your productivity, your voice, and critical thinking.
The AI GTM stack, and why one layer is a toy
Most AI marketing setups stop at skills. The four layers of an AI GTM stack, and why evals, the check on what reaches reps, gets built least.
Are industry analysts still relevant when AI builds the shortlist?
Are industry analysts still relevant when buyers ask AI for a shortlist? Alteryx's Gerry Van Zandt on AI-drafted RFIs, pay to play, and trust.
Why data initiatives fail before technology is the problem
Stacie Christensen of H-E-B on why data initiatives fail before technology is the problem, from the easy button to circular data flows and governance.
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.
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.