12SEN Software Automation terms

Object-oriented programming (OOP)

• A programming paradigm based on the concept of ‘objects’, which can contain data and code: data in the form of fields (attributes) and code in the form of procedures (methods).

• A programming style that focuses on functions and procedures rather than data.

• A method of programming that emphasizes the use of loops and conditional statements.

• A technique that involves writing code in a linear fashion without the use of objects.

Linear regression

• A statistical method that models the relationship between a dependent variable and one or more independent variables by fitting a linear equation to the observed data.

• A technique used to classify data into distinct categories based on input features.

• A method for reducing the dimensionality of data while preserving variance.

• A process of estimating the future value of a variable based on its past values.

Production efficiency, waste, and the environment

• The impact of automation on production costs and labor requirements.

• The effects of automation on operational efficiency, resource usage and environmental sustainability in production processes.

• The role of manual labor in enhancing production efficiency.

• The relationship between production speed and waste generation.

Patterns related to acute stress response

• The identifiable reactions and behaviours exhibited by individuals during high-stress situations, which can inform the design of supportive AI systems.

• A set of guidelines for managing stress in the workplace.

• A series of exercises designed to reduce anxiety in high-pressure environments.

• The physiological changes that occur in the body during a fight-or-flight response.

Business process automation (BPA)

• The process of automating individual tasks within a business.

• The process of automating complex business processes and functions beyond just individual tasks, often involving multiple systems and stakeholders.

• The process of managing business operations manually without automation.

• The process of outsourcing business functions to third-party vendors.

Virtual personal assistants

• AI systems that assist users in performing tasks through voice or text commands, utilising natural language processing and machine learning.

• Robotic systems designed for physical tasks in homes and offices.

• Software applications that provide weather updates and news alerts.

• Devices that require manual input for task execution.

Software automation

• The use of technology to perform tasks with minimal human intervention, improving efficiency and consistency in processes.

• A method of manual task execution that relies heavily on human oversight.

• A process that eliminates the need for technology in task management.

• A strategy for increasing human involvement in automated systems.

Human and dataset source bias

• The biases that arise from human decisions in data collection and the inherent biases within the datasets used to train ML and AI models, affecting their fairness and accuracy.

• The biases that occur only due to human decisions in data collection, without any influence from datasets.

• The biases that are solely related to the algorithms used in ML and AI models, independent of human input.

• The biases that arise from external factors unrelated to data collection or dataset characteristics.

ML

• Provides insights and recommendations that enhance user experience and improve inventory management.

• Is a programming language used for data analysis.

• Refers to the process of manually managing inventory.

• Is a type of machine that automates inventory tracking.

Supervised learning

• A type of machine learning where the model is trained on a labelled dataset, meaning that the algorithm learns from input-output pairs.

• A method of machine learning that does not require labeled data and learns from the data itself.

• A technique used in unsupervised learning to classify data into predefined categories.

• A process where the model is trained using reinforcement signals to improve its performance.