Filed under
AI Strategy field notes.
All Joust field notes tagged AI Strategy.
Filed under
All Joust field notes tagged AI Strategy.
Most AI snake oil starts with something real; the claims just get ahead of it. Ten questions that make an AI product's promise specific enough to evaluate, from a $20 tool to a company-wide system.
The session goes well, and a month later little has changed. Why AI training fades, the four things that make it stick, and what to check in the weeks after the workshop.
A price-sensitivity exercise for AI investments: consider what changes if the technology becomes much more expensive or much cheaper.
Prediction is a useful starting point for understanding language models, their tool use, and why plausible answers still need checking.
Three areas to examine when a pilot is not becoming useful daily work: the task, its ownership, and the way results are measured.
How to estimate the time spent on a workflow and decide whether changing it is worth a closer look.
A practitioner’s view of AI: useful applications, the work of running them, and the questions that matter before adopting a system.
A recommendation needs an owner, a workable scope, and a place in the team’s day. Here is what we look for before implementation.
A useful way to compare software options: separate standard business needs from the work that depends on how your company operates.