Business-friendly definitions of AI terms and concepts you need to know. Understand the language of AI to make informed decisions about your business.
Technology that enables computers to perform tasks that typically require human intelligence.
AI helps businesses automate processes, make predictions, and improve decision-making.
A subset of AI where computers learn from data to make predictions or decisions without explicit programming.
Used for customer behavior prediction, fraud detection, and process optimization.
A type of machine learning using neural networks with multiple layers to process complex patterns.
Powerful for image recognition, natural language processing, and complex pattern detection.
A computing system inspired by biological brains, consisting of interconnected nodes that process information.
The foundation of modern AI systems, used for pattern recognition and decision-making.
Extremely large datasets that can be analyzed to reveal patterns, trends, and associations.
Enables businesses to make data-driven decisions and discover insights from customer behavior.
The process of discovering patterns and relationships in large datasets.
Helps businesses understand customer preferences, market trends, and operational inefficiencies.
Using historical data to predict future events or outcomes.
Used for sales forecasting, customer churn prediction, and demand planning.
A series of processes that collect, transform, and deliver data to its destination.
Ensures data flows efficiently from source systems to AI applications.
AI technology that enables computers to understand, interpret, and generate human language.
Powers chatbots, sentiment analysis, and automated document processing.
An AI-powered conversational agent that can interact with users through text or voice.
Provides 24/7 customer support, handles common inquiries, and improves customer experience.
The process of determining whether a piece of text expresses positive, negative, or neutral sentiment.
Helps businesses understand customer satisfaction and brand perception from reviews and social media.
Extracting meaningful information and insights from unstructured text data.
Used for analyzing customer feedback, social media posts, and document processing.
AI technology that enables computers to interpret and understand visual information from images and videos.
Used for quality control, facial recognition, and automated visual inspection.
The ability of AI to identify and classify objects, people, or scenes in images.
Applied in manufacturing quality control, retail analytics, and security systems.
Locating and identifying multiple objects within an image or video.
Used in autonomous vehicles, retail inventory management, and security monitoring.
Technology that identifies or verifies individuals based on facial features.
Used for security access control, customer identification, and personalized experiences.
Using technology to perform tasks without human intervention.
Reduces costs, improves efficiency, and allows employees to focus on higher-value work.
Improving business processes to increase efficiency and reduce costs.
AI analyzes workflows to identify bottlenecks and suggest improvements.
Tailoring products, services, or experiences to individual customer preferences.
Increases customer satisfaction, engagement, and conversion rates.
AI system that suggests products, content, or services based on user behavior and preferences.
Drives sales, improves customer experience, and increases customer lifetime value.
A set of rules or instructions that AI systems follow to solve problems or make decisions.
The 'recipe' that tells AI how to process data and generate insights.
The process of teaching an AI model to recognize patterns by feeding it data.
Requires quality data and can take days to weeks depending on complexity.
A set of rules that allows different software applications to communicate with each other.
Enables businesses to integrate AI services into existing systems and workflows.
Delivering computing services over the internet, including AI capabilities.
Makes AI accessible to businesses without requiring expensive infrastructure.
Principles and guidelines for responsible AI development and deployment.
Ensures AI systems are fair, transparent, and beneficial to society.
Systematic prejudice in AI systems that can lead to unfair or discriminatory outcomes.
Must be identified and mitigated to ensure fair treatment of all users.
The degree to which AI systems' decision-making processes can be understood and explained.
Builds trust with customers and helps meet regulatory requirements.
Protecting personal information and ensuring it's used appropriately.
Critical for compliance with regulations and maintaining customer trust.
Now that you understand the key AI terms, let's explore how these concepts can be applied to your business.