Analytics
The systematic computational analysis of data or statistics to understand and improve business performance.
The systematic computational analysis of data or statistics to understand and improve business performance.
In AI, the generation of incorrect or nonsensical information by a model, particularly in natural language processing.
The risk that users will find the product difficult or confusing to use, preventing them from effectively utilizing its features.
The origins of visitors to a website, such as search engines, direct visits, social media, and referrals from other sites.
The process by which a measure or metric comes to replace the underlying objective it is intended to represent, leading to distorted decision-making.
Reinforcement Learning from Human Feedback (RLHF) is a machine learning technique that uses human input to guide the training of AI models.
A theory that emphasizes the role of emotions in risk perception and decision-making, where feelings about risk often diverge from cognitive assessments.
Enterprise Resource Planning (ERP) are integrated software systems that manage business processes across various departments, such as finance, HR, and supply chain.
The theory that people adjust their behavior in response to the perceived level of risk, often taking more risks when they feel more protected.