Industry Context

From The Foundation for Best Practices in Machine Learning

Industry Context


Incorporate regulations, standards, and norms that reflect industry values, boundaries, and constraints during each phase of Product design and deployment. Document and define clear qualitative metrics and counter-metrics in Product & Outcome Definitions, Data & Model Metrics and Acceptance Criteria Metrics, as relevant, as discussed in Section 4 - Problem Mapping; Section 5 - Model Decision-Making.


To (a) ensure a deep understanding of (i) the industry, (ii) how the Product solution will be deployed, and (iii) any impact the Product solution may have off-platform; and (b) highlight associated risks that might occur during the Product Lifecycle.

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