Machine Learning Bias
Systematic errors in AI models that arise from the data or algorithms used, leading to poor outcomes.
Systematic errors in AI models that arise from the data or algorithms used, leading to poor outcomes.
A mental shortcut that relies on immediate examples that come to mind when evaluating a specific topic, concept, method, or decision.
Data points that represent an individual's, team's, or company's performance in the sales process.
The speed at which users start using a new product, typically measured as a percentage of the target market over a specific period.
The process of investigating and experimenting with new technologies to understand their potential applications and benefits.
The process by which a measure or metric comes to replace the underlying objective it is intended to represent, leading to distorted decision-making.
ARIA attributes that define additional characteristics of elements, such as roles and relationships.
The systematic computational analysis of data or statistics to understand and improve business performance.
The risk that the product will not be financially or strategically sustainable for the business, potentially leading to a lack of support or profitability.