A basic computational model that combines weighted inputs to make a threshold-based decision. It is a foundational neural networkA model made of connected computational units with adjustabl concept with limits on the patterns a single perceptron can represent.
A framework for examining political, economic, social, technological, environmental and legal factors affecting an organisation. It supports structured discussion, but conclusions require current evidence and relevant context.
A business approach that creates value through a platform connecting users, services or complementary providers. Assess participation, incentives and governance rather than assuming technology alone will create network effects.
Computer visionAI methods for interpreting information in images or video, methods that estimate the position of body or object landmarks. Evaluate accuracy, operating conditions and privacy implications before applying the output to monitoring or decision-making.
A method for reducing dimensionality by finding directions that capture variation in data. Components can simplify analysis, but high explained variance does not establish relevance to the business question.
Evidence that a product meets a meaningful need in a defined market. Assess actual use, customer outcomes and willingness to continue purchasing rather than relying on interest or positive feedback alone.
Planned processes and checks intended to give confidence that requirements are being met. For AI-enabled work, define acceptance criteria, review responsibilities and how errors or exceptions will be handled.
An ensemble approach combining multiple decision trees for prediction. Evaluate performance, operating cost and interpretation needs on representative data before selecting it for a business application.
