Predictive Analytics
The use of statistical techniques and algorithms to analyze historical data and make predictions about future outcomes.
The use of statistical techniques and algorithms to analyze historical data and make predictions about future outcomes.
Minimum Viable Experience (MVE) is the simplest version of a product that delivers a complete and satisfying user experience while meeting core user needs.
A framework for understanding what drives individuals to act, involving theories such as Maslow's hierarchy of needs.
ModelOps (Model Operations) is a set of practices for deploying, monitoring, and maintaining machine learning models in production environments.
A behavioral economics concept where people categorize and treat money differently depending on its source or intended use.
Large Language Model (LLM) is an advanced artificial intelligence system trained on vast amounts of text data to understand and generate human-like text.
A concept in behavioral economics that describes how future benefits are perceived as less valuable than immediate ones.
Research aimed at exploring and identifying new opportunities, needs, and ideas to inform the design process.
The use of data from digital devices to measure and understand individual behavior and health patterns.