Here is a list of some common computer automation terminology and related definitions:

  • Artificial Intelligence (AI): The simulation of human intelligence in machines programmed to think and learn like humans.
  • Automated Deployment: The use of software tools to automate the process of deploying code or applications to production environments.
  • Automated Testing: The use of software tools to automatically execute tests on code or applications to ensure they are functioning correctly.
  • Automation: The use of technology to perform tasks without human intervention.
  • Autonomous Systems: systems that can operate independently, without human intervention
  • Autonomous Systems: Systems that can operate independently without human intervention.
  • Autonomous Vehicle Automation: the use of technology to automate tasks and processes in autonomous vehicles, such as navigation, sensor data processing, and decision-making.
  • Backup Automation: the use of technology to automate tasks and processes related to data backup and recovery, such as data replication, archiving, and disaster recovery.
  • Bot: A software program that performs automated tasks.
  • BPM (Business Process Management): A method of improving the efficiency and effectiveness of business processes through technology.
  • Building Automation: the use of technology to automate tasks and processes in a building, such as HVAC, lighting, and security systems.
  • Business Automation: The use of technology to automate tasks and processes within a business organization.
  • Business Rule Automation: the use of technology to automate the execution of business rules, such as those used in decision-making and workflow management.
  • Chatbot Automation: the use of technology to automate customer service and support interactions through chatbot applications.
  • Cloud Automation: The use of cloud-based cloud computing solutions to automate infrastructure and applications deployment, scaling, and management.
  • Code Automation: The use of code-based solutions to automate tasks and processes.
  • Cognitive Automation: the use of AI-based technologies to automate tasks and processes that involve human-like decision-making and problem-solving.
  • Compliance Automation: the use of technology to automate tasks and processes related to compliance with regulations and standards, such as data privacy, security, and audit.
  • Computer vision: the ability of a computer to process, analyze, and understand visual information from the world
  • Containerization: A form of virtualization that involves packaging an application and its dependencies into a single container, which can be easily deployed and run on any system that supports containerization technology.
  • Continuous Integration/Continuous Delivery (CI/CD): A software development practice in which code changes are automatically built, tested, and deployed to production.
  • Data Automation: the use of technology to automate tasks and processes related to data management and analysis, such as data entry, validation, and reporting.
  • Database Automation: the use of technology to automate tasks and processes related to database management, such as database provisioning, backup, and maintenance.
  • Decision Automation: using technology to automate decision-making processes, such as rule-based systems and decision trees.
  • DevOps: A set of practices and tools that automate the process of software development and deployment.
  • Distributed Automation: the use of technology to automate tasks and processes across multiple devices, systems, and networks.
  • E-commerce Automation: the use of technology to automate tasks and processes related to e-commerce, such as order management, inventory management, and shipping.
  • Edge Automation: the use of technology to automate tasks and processes at the edge of a network, such as data collection and processing.
  • Event-driven Automation: the use of automation triggered by specific events or conditions.
  • Finance Automation: the use of technology to automate tasks and processes related to finance, such as accounting, budgeting, and reporting.
  • Governance Automation: the use of technology to automate tasks and processes related to governance, such as compliance, risk management, and data governance.
  • Home Automation: the use of technology to automate tasks and processes in a residential environment, such as lighting, heating, and security.
  • Hybrid Automation: the use of technology to automate tasks and processes in both physical and digital environments.
  • Industrial Automation: the use of technology to automate tasks and processes in industrial environments, such as manufacturing, logistics, and energy management.
  • Infrastructure Automation: The use of technology to automate IT infrastructure provisioning, configuration, and management.
  • Internet Automation: the use of technology to automate tasks and processes that involve the use of the internet, such as web scraping and data extraction.
  • IoT (Internet of Things): A network of connected devices that collect and share data.
  • IT Automation: The use of technology to automate tasks and processes within an IT organization.
  • IT Operations Automation: The use of technology to automate IT operations tasks such as provisioning, configuration, and monitoring.
  • IT Process Automation: The use of technology to automate IT processes such as incident management, change management, and problem management.
  • Machine Learning (ML): A subset of AI that involves training a computer to recognize patterns and make predictions based on data.
  • Macro: A set of instructions that can be executed as a single command, often used to automate repetitive tasks.
  • Marketing Automation: using technology to automate marketing tasks and processes, such as email campaigns, lead generation, and customer segmentation.
  • Natural Language Processing (NLP): A branch of AI that deals with the interaction between computers and human language.
  • Network Automation: the use of technology to automate tasks and processes related to network management, such as configuration, monitoring, and troubleshooting.
  • Performance Automation: the use of technology to automate tasks and processes related to performance management and optimization, such as load testing, monitoring, and reporting.
  • Predictive Automation: the use of data analysis and machine learning to predict future events or outcomes and take automated actions in response.
  • Proactive Automation: the use of automation to anticipate and prevent problems before they occur.
  • Process Automation: the use of technology to automate repetitive, rule-based tasks and processes, such as data entry, form processing, and workflow management.
  • Reporting Automation: the use of technology to automate tasks and processes related to reporting and analysis, such as data collection, aggregation, and visualization.
  • Robotics: The branch of technology that deals with robot design, construction, and operation.
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  • RPA (Robotic Process Automation): The use of software robots to automate repetitive and routine tasks.
  • Rule-based Automation: the use of technology to automate tasks and processes based on predefined rules or conditions.
  • Sales Automation: using technology to automate sales tasks and processes, such as lead management, quote generation, and pipeline management.
  • Script: A computer can execute instructions to perform a specific task.
  • Security Automation: the use of technology to automate tasks and processes related to security, such as threat detection, incident response, and compliance management.
  • Self-Adapting Systems: Systems that automatically adapt their behavior to changing conditions or requirements.
  • Self-Configuring Systems: Systems that can automatically configure themselves based on their environment or requirements.
  • Self-Diagnosing Systems: Systems that can automatically detect and diagnose failures or issues.
  • Self-Healing Systems: Systems capable of detecting and correcting failures on their own.
  • Self-Learning Systems: Systems that can learn from their interactions with the environment and improve their performance over time.
  • Self-Optimizing System: A system that can automatically adjust its performance and behavior to optimize its operation.
  • Self-Organizing Systems: Systems that can automatically organize and manage themselves without human intervention.
  • Self-Protecting Systems: Systems that can independently detect and respond to potential security threats.
  • Self-Repairing Systems: Systems that can automatically repair themselves in the event of a failure.
  • Self-Service Automation: automation enables end-users to perform tasks and access information without human assistance.
  • Smart Automation: using advanced technologies such as AI, ML, and NLP to automate tasks and processes.
  • Smart Factory Automation: the use of technology to automate tasks and processes in an intelligent factory, such as manufacturing operations, supply chain management, and logistics.
  • Social Media Automation: the use of technology to automate tasks and processes related to social media, such as posting, scheduling, and monitoring.
  • Speech recognition: the ability of a computer to recognize and transcribe human speech
  • Supply Chain Automation: the use of technology to automate tasks and processes related to supply chain management, such as procurement, logistics, and inventory management.
  • Test Automation: The use of software tools to automate the process of testing code or applications.
  • Text-to-Speech: the ability of a computer to convert written text into spoken words
  • Virtualization: Creating a virtual version of a device or resource, such as a computer, server, or operating system. This allows multiple systems to run on a single piece of hardware, improving efficiency and flexibility.
  • Workflow Automation: The use of technology to automate the execution of a series of tasks or processes to achieve a specific outcome.
  • Workflow: A series of tasks that must be completed in a specific order to achieve a desired outcome.
  • Workforce Automation: the use of technology to automate tasks and processes related to workforce management, such as time tracking, scheduling, and performance management.