AI, Energy, and the Muscle Car Problem
AI’s race for bigger models and more compute looks a lot like the horsepower wars of the late 1960s, impressive until the energy bill shows up.
From short takes to deeper articles, this section is where strategy meets execution.
AI’s race for bigger models and more compute looks a lot like the horsepower wars of the late 1960s, impressive until the energy bill shows up.
Most reporting problems are not visualization problems. They are definition problems.
Strong analytics teams do more than fulfill requests. They build reusable data products, trusted semantic models, and decision frameworks that scale across the business.
Short, timely takes. Fast reads, usually opinion-driven or reacting to something current.
More evergreen, more strategic, less news cycle.
Why shared KPIs, governed metrics, and clean business rules matter more than another shiny dashboard.
A dashboard can look sharp and still be useless. Most failures are not visual, they are structural.
KPI drift does not usually arrive with a dramatic error message. It shows up slowly, then wrecks confidence all at once.
AI can help summarize, analyze, and accelerate work. It cannot rescue reporting that nobody trusts.
More developed arguments, more storytelling, more depth.