Online Convex Optimization
Definition Online Convex Optimization (OCO) in marketing AI refers to a subfield of optimization that enables models to make decisions in real-time based on continuous, incoming data. Unlike traditional methods where all data is available from the start, OCO tackles consecutive problems, adapting its decision-making after receiving feedback. This makes it ideal for dynamic scenarios […]
Overfitting
Definition In AI marketing, overfitting refers to a scenario where a model is excessively trained on the training data, making it overly complex and detailed. As a result, it performs well on this data but fails to generalize efficiently when exposed to new, unseen data, subsequently leading to poor predictive performance. Essentially, it’s when the […]
One-Shot Learning
Definition One-Shot Learning in AI refers to a method where a machine learning model is expected to learn from one single training example per class. This approach is particularly beneficial where the dataset is limited. It’s frequently used in image recognition tasks where an algorithm is trained to correctly recognize or categorize new data after […]
Online Learning
Definition Online learning in AI marketing refers to the process where AI systems continuously learn and adapt from new data and user interactions. This helps to improve the accuracy and effectiveness of their responses and predictions over time. It enables AI to make more sophisticated and personalized marketing strategies based on changing user behaviors and […]
OPTICS (Ordering Points To Identify the Clustering Structure)
Definition OPTICS (Ordering Points To Identify the Clustering Structure) in AI and marketing refers to an algorithm used for identifying clusters in large data sets. It works by building a reachability graph which categorizes points based on their proximity to each other, allowing for the identification of data structures and patterns. It is particularly useful […]
Out-of-Domain Transfer
Definition In AI marketing, Out-of-Domain Transfer refers to a model’s ability to apply knowledge and learnings from one context (domain) to a completely different context (domain). This technique can help AI to understand, adapt and respond in unfamiliar situations. Essentially, it allows models to generalize their knowledge and experiences rather than being limited to a […]
Optical Character Recognition (OCR)
Definition Optical Character Recognition (OCR) in marketing is a form of AI technology that converts different types of documents, such as PDF files or images of text, into editable and searchable data. It’s used to automate data entry processes, handle large volumes of documents, and improve operational efficiency. OCR technology can recognize and extract text […]
Object Detection
Definition Object Detection in AI refers to the capability of computer systems to identify and locate objects in an image or video. This technology usually uses machine learning or deep learning models to recognize different objects and their locations within a visual frame. In the context of marketing, it can be used for applications like […]
Online Content Creation Platform
Definition An Online Content Creation Platform in marketing AI refers to a digital tool or software powered by artificial intelligence that assists in producing, curating, and distributing content on the internet. This platform automates the process of content creation, making it easier and more efficient. It can generate articles, blogs, social media posts, and other […]
