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What is Production Drift (non-model)?

Production Drift, in the non-model sense, refers to performance changes caused by shifts in production execution conditions even when the model itself has not changed. These shifts may involve data formats, access conditions, pipeline structure, or state transitions.

PII Encapsulation
PII Encapsulation refers to the process of separating or transforming personally identifiable information into a protected representation before AI execution. It allows AI tasks to proceed using controlled tokens or capsules instead of exposing raw identifiers directly.
Fairness (machine learning)
Fairness in machine learning refers to the practice of designing AI models that make unbiased and equitable decisions across different demographic groups. It involves mitigating algorithmic bias, ensuring diverse training data, and implementing fairness-aware techniques to prevent discrimination in areas like hiring, lending, and healthcare.
Data classification (business intelligence)
Data classification (business intelligence) is the process of organizing business-related data based on sensitivity, value, and usage. It helps companies enhance reporting, optimize decision-making, and comply with data governance policies. Businesses use classification to structure data for predictive analytics, regulatory compliance, and performance optimization.

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