Change Enablement
The process of preparing, equipping, and supporting individuals to successfully adopt change to drive organizational success and outcomes.
The process of preparing, equipping, and supporting individuals to successfully adopt change to drive organizational success and outcomes.
Systematic errors in AI models that arise from the data or algorithms used, leading to poor outcomes.
The compromises made between different design options, balancing various factors like usability, aesthetics, and functionality.
Quantitative measures used to track and assess the performance and success of a product, such as usage rates, customer satisfaction, and revenue.
The process of training an AI model on a large dataset before fine-tuning it for a specific task.
The process of distinguishing a product or service from its competitors in a way that is meaningful to the target market.
The practice of managing and resolving incidents that disrupt normal operations, ensuring minimal impact on business activities.
A Gestalt principle suggesting that elements are perceived as a single unit or group if they share an organizing visual cue like bullet points, or connecting lines.
Model-View-Controller (MVC) is an architectural pattern that separates an application into three main logical components: the Model (data), the View (user interface), and the Controller (processes that handle input).