Non-Negative Matrix Factorization (NMF)

Definition Non-Negative Matrix Factorization (NMF) is a statistical method utilized in machine learning and AI where a non-negative matrix is factorized into two matrices with non-negative values. It is frequently used in recommendation systems, topic modeling and for data that holds non-negative values such as images or customer purchase data. The result of NMF is […]

Neuroevolution of Augmented Topologies (NEAT)

Definition Neuroevolution of Augmented Topologies (NEAT) is an artificial intelligence technique in marketing that uses evolutionary algorithms to generate artificial neural networks. These networks continually evolve and improve over time to make better predictions and deliver more effective results. NEAT optimizes the structure and weights of the networks simultaneously, providing a more efficient way to […]


Definition Neuroevolution refers to the use of evolutionary algorithms to generate artificial neural networks (ANN), parameters, architectures, or learning rules. In the context of marketing, it implies the application of these adaptive systems to optimize and enhance marketing strategies through machine learning. It allows marketers to automate decision-making, understand customer behavior, predict trends, and personalize […]

Named Entity Linking (NEL)

Definition Named Entity Linking (NEL) in AI marketing is a process that identifies and links named entities, such as persons, organizations, or places, in text to a corresponding entry in a knowledge base. This system helps in providing context to these entities, enhancing data understanding. It’s crucial for various tasks such as information extraction, recommendation […]

Neural Networks

Definition In marketing, Neural Networks refer to a type of artificial intelligence modeled after the human brain. They are designed to recognize patterns, interpret data, and make decisions. These networks can learn and improve over time, making them highly valuable for data-driven tasks such as customer segmentation or sales forecasting. Key takeaway Neural Networks are […]

Neural Network Automation

Definition Neural Network Automation in marketing refers to the use of artificial intelligence (AI) models inspired by the human brain to predict outcomes, refine marketing strategies, and streamline operations. These AI models, called neural networks, can process vast amounts of data, identify patterns, and make decisions. Automation in this context means these processes are carried […]

Natural Language Generation (NLG)

Definition Natural Language Generation (NLG) in marketing is a subfield of Artificial Intelligence (AI) that focuses on generating natural language text or speech from data or other structured information. It is utilized to create personalized content, customer communications, emails, reports, and more. The main aim is to automate content generation, saving time, resources, and generating […]

Natural Language Processing (NLP)

Definition Natural Language Processing (NLP) in marketing refers to the utilization of artificial intelligence to understand and interact with human language. It helps machines understand, analyze, and generate human speech, enabling more personal and targeted marketing strategies. Additionally, NLP allows businesses to derive insights from customer feedback and social media to improve their products or […]

Named Entity Recognition (NER)

Definition Named Entity Recognition (NER) in marketing refers to an AI-driven process that identifies, extracts, and categorizes specific data elements from a text such as brand names, product names, or person names. It analyzes the context of a sentence to classify and group these entities in pre-defined categories. This technology is particularly useful in marketing […]