📖 AI and Automation Glossary
Essential Terms and Definitions
Artificial Intelligence (AI): Computer systems that can perform tasks typically requiring human intelligence, including learning, reasoning, and problem-solving.
Machine Learning (ML): A subset of AI that enables systems to automatically learn and improve from experience without being explicitly programmed.
Robotic Process Automation (RPA): Software robots that automate repetitive, rule-based tasks by mimicking human interactions with digital systems.
Business Process Automation (BPA): Technology-enabled automation of complex business processes that may involve multiple systems, decision points, and stakeholders.
Intelligent Automation: The combination of AI, machine learning, and traditional automation technologies to create systems that can handle complex, variable tasks.
Natural Language Processing (NLP): AI technology that enables computers to understand, interpret, and generate human language.
Computer Vision: AI technology that enables machines to interpret and understand visual information from images and videos.
Predictive Analytics: Use of data, statistical algorithms, and machine learning techniques to identify future outcomes based on historical data.
Digital Transformation: The integration of digital technology into all areas of business, fundamentally changing how organizations operate and deliver value.
Workflow Automation: The design, execution, and automation of business processes where tasks, information, or documents are passed from one participant to another according to defined rules.