Generative Design
An iterative design process that uses algorithms and computational tools to generate a wide range of design solutions based on defined constraints and goals.
An iterative design process that uses algorithms and computational tools to generate a wide range of design solutions based on defined constraints and goals.
Artificially generated data that mimics real data, used for training machine learning models.
A symmetrical, bell-shaped distribution of data where most observations cluster around the mean.
Quantitative data that provides broad, numerical insights but often lacks the contextual depth that thick data provides.
The systematic computational analysis of data or statistics to understand and improve business performance.
A research method that involves forming a theory based on data systematically gathered and analyzed.
The spread and pattern of data values in a dataset, often visualized through graphs or statistical measures.
A research method that focuses on collecting and analyzing numerical data to identify patterns, relationships, and trends, often using surveys or experiments.
The use of AI and advanced analytics to divide users into meaningful segments based on behavior and characteristics.