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Evaluation, MLOps & Operations
A concise overview of Evaluation, MLOps & Operations, how it relates to AI Implementation & System Development, key considerations, and conditions to confirm.
Item 1 of 1: Evaluation, MLOps & Operations
AI Implementation & System Development
Evaluation, MLOps & Operations
A concise overview of Evaluation, MLOps & Operations, how it relates to AI Implementation & System Development, key considerations, and conditions to confirm.
Challenge to examine
For Evaluation, MLOps & Operations, we identify whether the core issue sits with users, workflow, or expression before choosing a solution. The relationship to AI Implementation & System Development remains visible so the reasons behind each decision can be reviewed.
Use context
For Evaluation, MLOps & Operations, we distinguish users, decision-makers, and operators and define the information and controls each group needs. The relationship to AI Implementation & System Development remains visible so the reasons behind each decision can be reviewed.
Deliverables
For Evaluation, MLOps & Operations, we combine requirements, prototypes, produced assets, and operational guidance around the purpose. The relationship to AI Implementation & System Development remains visible so the reasons behind each decision can be reviewed.
Working approach
For Evaluation, MLOps & Operations, we work in stages, testing small and carrying review findings into the next decision. The relationship to AI Implementation & System Development remains visible so the reasons behind each decision can be reviewed.
Quality and rights
For Evaluation, MLOps & Operations, human reviewers check sources, rights, accuracy, safety, and accessibility against use-specific criteria. The relationship to AI Implementation & System Development remains visible so the reasons behind each decision can be reviewed.