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It's the end of BI as we know it (and I feel fine)
Orion by Gravity's Lucas Thelosen on AI analysts, trusted numbers, and maintained context
Nov 3
•
David Sweenor
1
1:17
October 2026
What AI think does to critical thinking at work
Leigh Felton on speed, sameness, and the junior employee who asks why
Oct 27
•
David Sweenor
2
1
1:37
The AI GTM stack: skills, context, orchestration, evals
Why any one layer on its own is a toy
Oct 22
•
David Sweenor
1
Are industry analysts still relevant when AI builds the shortlist?
Alteryx's Gerry Van Zandt on AI-drafted RFIs, pay to play, and buyer trust
Oct 20
•
David Sweenor
4
1:06
Why data initiatives fail before technology is the problem
Stacie Christensen of H-E-B on the easy button, people-owned issues, and the circular data flow nobody can explain
Oct 13
•
David Sweenor
1
1
1:15
Tribal knowledge is the AI context layer nobody names
Clarifeye's Ken Sanford on capturing expert judgment for skills and agents
Oct 6
•
David Sweenor
3
1:08
A fresh Claude beat my battlecard prompt workflow
What AI GTM engineering adds once prompts come cheap
Oct 1
•
David Sweenor
3
2
September 2026
Where should the chief data officer report? Randy Bean says sales
Randy Bean on the business-value test, the 42 percent reporting line, and a CDO role being rewritten in real time
Sep 29
•
David Sweenor
1
0:53
The AI slowdown already happened inside your company
Why enterprise AI adoption stalled, and why human in the loop keeps it stuck
Sep 25
•
David Sweenor
2
2
What AI GTM engineering is
Why building AI systems for marketing teams became the cheap part
Sep 24
•
David Sweenor
2
The perfect storm behind the tech job market
Executive recruiter Jim Jinright on judgment capital and moving up the stack
Sep 22
•
David Sweenor
1
1
1:14
AI will expose every weakness in your data
Why data quality and trust are the AI foundation, from CDOIQ 2026
Sep 18
•
David Sweenor
2
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