The most interesting piece to me is this: "Decision as a Service collapses the distance between the process and that moment — and in doing so, it changes what the industry is selling, what it is accountable for, and who will survive the transition."

Makes me wonder if the reticence of the research industry to commit to decisions is an artifact of the safety inherent in historically having access to a single input in the decision process. This architecture greatly expands the purview of available outputs.

That said, depending on the decision being made, there are many other factors (capital expenditures, staffing, etc.) that still need to be weighed.

This is a very compelling future. Question - are there types of decisions you see as early use cases and then complexity may build with experience? Or how do you see that unfolding?

Appreciate this very thought-provoking piece.