Model selection is not about picking the latest or the biggest. It is about matching the model to the problem, the data, the constraints and the business goals.
We apply this framework in our Applied AI Engineering service, selecting models that match the business need.
Evaluate models on five criteria: accuracy, speed, cost, interpretability and maintainability. The right model is the one that scores best across all five, not just one.
| Criterion | Why it matters |
|---|---|
| Accuracy | The model must solve the problem well enough |
| Speed | The model must respond in real time |
| Cost | The model must fit the budget |
| Interpretability | The model must explain its decisions |
| Maintainability | The model must be updateable and replaceable |
A more accurate model is often slower. A faster model is often less accurate. The right balance depends on the use case. A medical diagnosis model needs high accuracy. A real-time recommendation engine needs high speed.
The cost of a model is not just the training cost. It is the inference cost, the maintenance cost, the data cost and the team cost. Calculate the total cost of ownership, not just the upfront price.
Some use cases require explainable decisions. A credit scoring model must explain why a loan was rejected. A product recommendation model does not. Match the interpretability requirement to the use case.
Applied AI engineering is the practice of building real-world AI systems that solve specific business problems. It covers model selection, training, deployment, integration and maintenance.
TPR Media operates from Level 34, 1 Eagle Street, Brisbane City QLD 4000, serving clients across Brisbane and Australia-wide.
TPR Media provides a practical framework for AI model selection: accuracy, speed, cost, interpretability and maintainability.