A comprehensive view of a customer that includes data from all interactions and touchpoints across the customer journey.
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Characteristics of big data defined as Volume, Velocity, Variety, Veracity, and Value.
Numeronym for the word "Accessibility" (A + 11 letters + Y), designing for ease of use by all people, ensuring equal access to those with disabilities.
The design of products, devices, services, or environments for people with disabilities or specific needs.
A model predicting the speed-accuracy trade-off in pointing tasks when using devices like a mouse, important for user interface design.
A decision-making strategy where individuals are prompted to make a choice rather than defaulting to a pre-set option.
A dark pattern where users' activities are tracked without their explicit consent or knowledge.
AI systems that can dynamically adjust their behavior based on new data or changes in the environment.
User interfaces that change in response to user behavior or preferences to improve usability and efficiency.
The process of training an AI model on a large dataset before fine-tuning it for a specific task.
A parameter that controls the randomness of AI-generated text, affecting creativity and coherence.
The degree to which the operations and decisions of an AI system are understandable and explainable to users.
AI as a Service (AIaaS) is a service model where AI tools and algorithms are provided over the internet by a third-party provider.
Artificial Intelligence of Things (AIoT) is the integration of AI with the Internet of Things (IoT) to create smart systems that can learn and adapt.
The process of identifying unusual patterns or outliers in data that do not conform to expected behavior.
A design approach that predicts user needs and actions to deliver proactive and personalized experiences.
Artificial Superintelligence (ASI) is a hypothetical AI that surpasses human intelligence and capability in all areas.
Hardware and software designed to assist people with disabilities in using computers and digital content.
A component in neural networks that allows the model to focus on specific parts of the input, improving performance.
A design pattern that combines human and machine intelligence to enhance decision-making and problem-solving.
An inference method used in AI and expert systems where reasoning starts from the goal and works backward to determine the necessary conditions.
The study of strategic decision making, incorporating psychological insights into traditional game theory models.
Behavioral Science (BeSci) is the study of human behavior through systematic analysis and investigation.
Extremely large data sets that can be analyzed computationally to reveal patterns, trends, and associations.
The process of examining large and varied data sets to uncover hidden patterns, correlations, and insights.
A professional who designs, builds, and maintains systems for processing large-scale data sets.
A decentralized digital ledger that records transactions across many computers in a way that ensures the security and transparency of data.
Case-Based Reasoning (CBR) is an AI method that solves new problems based on the solutions of similar past problems.
The process where design services and outputs become standardized and interchangeable, often leading to competition based primarily on price rather than quality or creativity.
A team structure within an organization focused on managing and integrating complex subsystems.
A problem-solving process that includes logical reasoning, pattern recognition, abstraction, and algorithmic thinking.
The extent to which a measure represents all facets of a given construct, ensuring the content covers all relevant aspects.
A recommendation system technique that suggests items similar to those a user has shown interest in, based on item features.
An ongoing process of learning and development that enables individuals and organizations to adapt to changing environments and requirements.
AI systems designed to communicate with users through natural language, enabling human-like interactions.
An AI-driven assistant or tool that helps users accomplish tasks more efficiently, often by providing suggestions and automating routine actions.
AI systems designed to generate creative content, such as art, music, and literature.
A statistical method used to assess the generalizability of a model to unseen data, involving partitioning a dataset into subsets for training and validation.
Conversational User Interface (CUI) is a user interface designed to communicate with users in a conversational manner, often using natural language processing and AI.
An interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data.
A tree-like model of decisions and their possible consequences, used in data mining and machine learning for both classification and regression tasks.
A digital replica of a physical entity, used to simulate, analyze, and optimize real-world operations.
Newly developing patterns or shifts in technology, behavior, or design that have the potential to influence future practices and strategies.
The practice of developing artificial intelligence systems that are fair, transparent, and respect user privacy and rights.
Guidelines and principles designed to ensure that AI systems are developed and used in a manner that is ethical and responsible.
A framework for assessing and improving an organization's ethical practices in the development and deployment of AI.
The practice of collecting, processing, and using data in ways that respect privacy, consent, and the well-being of individuals.
An inference method used in AI and expert systems where reasoning starts from known facts and applies rules to derive new facts.
The parts of a service or product that are visible to and interact with the user, as opposed to the backstage operations.
The extent to which individuals or organizations plan for and consider the long-term consequences of their actions.
The process of anticipating future developments to ensure that a product or system remains relevant and functional over time.
The phenomenon where people follow the direction of another person's gaze, influencing their attention and behavior.
A type of artificial intelligence capable of generating new content, such as text, images, and music, by learning from existing data.
An iterative design process that uses algorithms and computational tools to generate a wide range of design solutions based on defined constraints and goals.
The use of algorithms to generate new data samples that resemble a training dataset, often used in AI for creating realistic outputs.
Research aimed at exploring and identifying new opportunities, needs, and ideas to inform the design process.
Goals, Ideas, Steps, and Tasks (GIST) is an agile planning technique to break down projects into manageable parts.
Emerging patterns and movements in design that gain popularity and influence on a global scale.
The tendency for people to feel more motivated and accelerate their efforts as they get closer to achieving a goal.
Generative Pre-trained Transformer (GPT) is a type of AI model that uses deep learning to generate human-like text based on given input.
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