A problem-solving method that involves asking "why" five times to identify the root cause of a problem.
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Characteristics of big data defined as Volume, Velocity, Variety, Veracity, and Value.
A principle stating that 80% of effects come from 20% of causes, often used to prioritize tasks and identify key areas of focus.
AI systems that can dynamically adjust their behavior based on new data or changes in the environment.
An organizational structure that emphasizes flexibility, employee initiative, and decentralized decision-making.
The process of predicting how one will feel in the future, which often involves biases and inaccuracies.
The tendency to favor people who are similar to oneself in terms of background, beliefs, or interests.
A tool used to organize ideas and data into groups based on their natural relationships.
The process of transitioning an organization to agile methodologies, including changes in culture, processes, and practices.
The core values outlined in the Agile Manifesto, including individuals and interactions, working software, customer collaboration, and responding to change.
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 practice of drawing inspiration from sources outside of one's field to generate creative ideas.
A metric that shows the revenue that a company can expect to receive annually from its customers for subscriptions or services.
The study of architectural concepts, including the principles and methodologies used in the design and construction of buildings and structures.
Average Revenue Per Account (ARPA) is a metric used to measure the average revenue generated per user or account.
Agile Release Train (ART) is a long-lived team of Agile teams that, along with other stakeholders, incrementally develops, delivers, and operates one or more solutions in a value stream.
The study of the principles and techniques of art, including visual composition, aesthetics, and the role of art in society.
Adaptive Software Development (ASD) is a software development methodology that focuses on continuous adaptation to changing requirements and environments.
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 cognitive bias where people assume others share the same beliefs, values, or preferences as themselves.
Work that is not performed in real-time, allowing team members to collaborate without needing to be online simultaneously.
A component in neural networks that allows the model to focus on specific parts of the input, improving performance.
A brainstorming technique that involves listing all possible attributes of a product or problem to generate new ideas and solutions.
A design pattern that combines human and machine intelligence to enhance decision-making and problem-solving.
A self-reinforcing process in which a collective belief gains more plausibility through its increasing repetition in public discourse.
Business-to-Government (B2G), a business model where products or services are sold to governments.
A planning method that starts with defining a desirable future and then works backwards to identify steps to achieve that future.
A cognitive bias where individuals strengthen their beliefs when presented with evidence that contradicts them.
An inference method used in AI and expert systems where reasoning starts from the goal and works backward to determine the necessary conditions.
Obstacles that make it difficult for new competitors to enter an industry, such as high capital requirements, strong brand loyalty, or regulatory hurdles.
The study of psychology as it relates to the economic decision-making processes of individuals and institutions.
The study of how psychological influences affect financial behaviors and decision-making.
Practical applications of behavioral science to understand and influence human behavior in various contexts.
An organization that applies behavioral science to policy and practice to improve public services and outcomes.
A theoretical approach that focuses on observable behaviors and dismisses internal processes, emphasizing the role of environmental factors in shaping behavior.
The practice of comparing performance metrics to industry bests or best practices from other companies.
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 decentralized digital ledger that records transactions across many computers in a way that ensures the security and transparency of data.
A market space that is unexplored and uncontested, where companies can create new demand and capture significant market share without much competition.
An open-ended and creative approach to problem-solving or planning, often involving brainstorming and envisioning future possibilities without constraints.
Build-Measure-Learn (BML) is a feedback loop used in Lean Startup methodology where a product is built, its performance is measured, and learnings are used to make improvements.
A cognitive bias where people remember scenes as being more expansive than they actually were.
A brainstorming technique where participants draw their ideas instead of writing them down.
A brainstorming technique where participants write down their ideas independently before sharing them with the group.
A thorough examination of a brand's current position in the market and its effectiveness in reaching its goals.
The ability to understand and deal with various business situations, making sound decisions to ensure successful outcomes.
The ability of an organization to adapt quickly to market changes and external forces while maintaining a focus on delivering value.
The process of using statistical analysis and modeling to explore and interpret business data to make informed decisions.
A strategic management template for developing new business models or documenting existing ones, detailing elements like value proposition, infrastructure, and customers.
A change management strategy that aligns people, process, and technology initiatives to improve performance and achieve business goals.
The potential for a project or solution to be economically sustainable and profitable.
Culture, Automation, Lean, Measurement, and Sharing (CALMS) is a framework for guiding the implementation of DevOps practices.
The principle that the more a metric is used to make decisions, the more it will be subject to corruption and distort the processes it is intended to monitor.
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