A practical breakdown of how organizations without hyperscale budgets can still capture real value from applied machine learning this year.

The short version: fit the model to the decision, not the other way around. Many operational decisions are well served by smaller, cheaper, purpose-built models rather than general-purpose frontier models.

We walk through how we evaluate that trade-off with partners, and where a heavier model is still worth the added cost.