Category: Tech Terms Definitions

The air interface is a critical concept in the telecommunications sector, particularly within the realms of mobile networks and wireless communication systems. This term refers to the radio frequency (RF) spectrum over which base stations and mobile devices communicate with each other. It encompasses various standards, protocols, and technologies designed

AI Governance is a framework or system designed to ensure the responsible development, deployment, and use of artificial intelligence (AI) technologies. It encompasses a broad set of policies, principles, and practices that guide and regulate how AI is created and utilized across different sectors. By integrating ethical standards, legal requirements,

AI Ethics is a critical and emerging field that addresses the complex moral, ethical, and societal questions surrounding the development, deployment, and use of artificial intelligence (AI). This discipline seeks to ensure that AI technologies are developed and used in ways that are fair, transparent, accountable, and free from bias,

AI Active Learning is a machine learning approach that strategically selects the data from which it learns. The goal of active learning is to improve the learning efficiency of a model by allowing it to query a human annotator for labels on instances where the model’s predictions are uncertain. This

Artificial Intelligence (AI) accelerators are specialized hardware or software designed to significantly speed up AI applications, including deep learning, machine learning, and neural networks. These accelerators optimize computational processes to allow faster data processing, improved efficiency, and reduced power consumption, which are crucial for training and running complex AI algorithms.

Artificial Intelligence (AI) represents the branch of computer science that aims to create machines capable of intelligent behavior. At its core, AI is about designing algorithms and computational models that enable computers to perform tasks that typically require human intelligence. These tasks include learning, reasoning, problem-solving, understanding natural language, and

Agile Value Stream Mapping (VSM) is a lean-management method for analyzing the current state and designing a future state for the series of events that take a product or service from its beginning through to the customer. With roots in Lean manufacturing, this technique has found its way into Agile

Agile Testing is a software testing process that follows the principles of agile software development. It is an iterative testing process that is part of the development lifecycle, emphasizing flexibility, continuous feedback, and the evolution of test requirements and solutions. Agile Testing is integrated into the development process, allowing for

Agile Test Data Management (ATDM) is a methodology focused on improving the efficiency and effectiveness of testing processes within an Agile software development environment. By integrating practices for managing test data, ATDM aims to streamline the creation, maintenance, and deployment of data sets necessary for comprehensive and reliable testing. This

Agile Test Automation refers to the practice of automating the testing process in an agile software development environment. It aims to enhance the efficiency and effectiveness of testing by automating repetitive tasks and enabling faster feedback loops. By integrating test automation into the agile workflow, teams can ensure that new

Agile Software Testing is a dynamic and flexible approach to software testing that aligns with the principles of agile software development. Unlike traditional software testing methodologies, agile testing involves continuous collaboration between developers, testers, and customers. It emphasizes adaptability, customer satisfaction, and the delivery of high-quality software products in short

Agile Software Engineering is a set of methods and practices based on the values and principles expressed in the Agile Manifesto. It advocates adaptive planning, evolutionary development, early delivery, and continual improvement, and it encourages flexible responses to change. This approach to software development focuses on keeping the process lean