AI

AI A/B testing uses machine learning to automate experiment design, analysis, and optimization of ad campaigns beyond traditional statistical methods.

Software powered by artificial intelligence designed to understand and respond to user requests, automate tasks, and provide intelligent recommendations.

AI bias occurs when machine learning models produce systematically prejudiced results against certain groups, often due to skewed training data.

An AI-powered software that simulates human conversation to engage customers, answer questions, and automate support interactions.

AI compliance ensures artificial intelligence systems in advertising meet legal, ethical, and industry standards while protecting consumer privacy.

AI content generation uses machine learning to automatically create marketing copy, visuals, and ad creatives at scale and speed.

AI copywriting uses machine learning algorithms to generate marketing copy, ad text, and content automatically, saving time and improving consistency.

AI email marketing uses machine learning to automate, personalise, and optimise email campaigns at scale for better engagement and ROI.

AI governance is the set of policies, processes, and controls organisations establish to manage artificial intelligence systems responsibly and compliantly.

AI hallucination occurs when artificial intelligence generates false, misleading, or fabricated information that appears plausible but isn't grounded in reality.

AI literacy is the ability to understand, evaluate, and effectively use artificial intelligence tools and concepts in marketing and business decisions.

Using artificial intelligence to deliver customised content, products, and experiences to individual users based on their behaviour, preferences, and data.

An AI SDK is a software toolkit that enables developers and marketers to integrate artificial intelligence capabilities into applications without building from scratch.

AI scheduling uses machine learning to automatically optimize when and where ads run for maximum performance and efficiency.

A unique code that grants secure access to an API, allowing your marketing tools to communicate and share data automatically.

A computational technique that allows AI models to focus on the most relevant parts of data when making predictions or decisions.

Automated reporting uses AI to generate marketing performance reports without manual data collection, saving time and improving accuracy.

Backpropagation is the algorithm that trains neural networks by calculating errors and adjusting weights to improve predictions.

A benchmark is a reference point or standard used to measure and compare the performance of AI campaigns, models, or strategies against historical data or …

CUDA is NVIDIA's parallel computing platform that accelerates AI and machine learning tasks used in programmatic advertising and audience targeting.

A prompting technique that encourages AI models to break down complex problems into sequential reasoning steps before providing answers.

Claude is an AI assistant created by Anthropic that helps marketers automate content creation, analyse data, and streamline campaign planning.

A graphics processor accessed remotely via the internet, enabling AI model training and data processing without expensive local hardware.

Real-time, one-to-one communication between brands and customers using chatbots, messaging apps, and live chat to guide purchasing decisions.

AI technology that automatically groups customers into distinct segments based on behavior, demographics, and preferences for targeted marketing.

Data labelling is the process of identifying and marking raw data to train AI models used in advertising targeting and optimization.

A collection of structured data used to train, test, and validate artificial intelligence models in advertising and marketing applications.

An AI technique that generates images by gradually removing noise from random data, used in creative advertising and content generation.

AI-powered technology that automatically tests and optimises ad creative elements in real-time to maximise campaign performance.

Edge AI processes data and runs machine learning models on devices or servers near the data source, rather than in the cloud.

Embeddings are numerical representations of words, images, or concepts that AI systems use to understand meaning and relationships.

Explainable AI makes machine learning decisions transparent and understandable to humans, crucial for media buying trust and compliance.

Few-shot learning enables AI models to learn from just a handful of examples rather than massive datasets, making rapid adaptation possible in advertising.

Fine-tuning is the process of adjusting a pre-trained AI model with new data to improve its performance for specific advertising tasks.

A large-scale AI model trained on vast amounts of data, capable of performing multiple tasks without task-specific retraining.

Function calling enables AI models to interact with external systems by requesting specific actions or data retrieval through structured outputs.

A specialized processor designed to handle parallel computations, essential for training AI models and processing large datasets in advertising.

Google Gemini is an advanced AI model that can process text, images, video, and audio to help with content creation, analysis, and advertising optimization.

Hugging Face is an open-source AI platform providing pre-built language models and tools for natural language processing tasks in marketing applications.

Jasper AI is an artificial intelligence writing tool that generates marketing copy, social media content, and ad text at scale using natural language processing.

LLAMA is Meta's open-source large language model family designed for natural language processing tasks in AI applications.

An AI system trained on vast amounts of text data to understand and generate human language, powering tools like ChatGPT and marketing automation.

Latency is the delay between a request and response in ad tech systems, critical for real-time bidding and user experience.

A high-dimensional mathematical space where AI models compress and represent complex data patterns in simplified, learnable forms.

LoRA is a technique for efficiently fine-tuning large AI models by training only small adapter layers instead of all parameters.

A mathematical measure that quantifies how poorly an AI model's predictions differ from actual outcomes, guiding model improvement.

Marketing automation uses software to automatically manage repetitive marketing tasks, nurturing leads and personalising customer journeys at scale.

Midjourney is an AI tool that generates high-quality images from text descriptions, widely used by marketers for creative asset production.

A neural network architecture that routes different inputs to specialized sub-networks (experts) for improved efficiency and performance.

AI systems that process and understand multiple types of data (text, images, video, audio) simultaneously to make informed decisions.

Natural Language Processing (NLP) is AI technology that enables machines to understand, interpret, and generate human language for targeted advertising and customer insights.

A neural network is a machine learning system inspired by the human brain that learns patterns from data to make predictions and decisions.

Open-source AI refers to artificial intelligence models and tools with publicly available code that anyone can use, modify, and distribute freely.

Overfitting occurs when an AI model learns training data too well, including noise, reducing its ability to perform on new, unseen data.

Parameters are the internal variables in AI models that get adjusted during training to improve predictions and performance in advertising campaigns.

Performance Max is Google's AI-driven campaign type that automatically optimizes ads across all Google channels using machine learning.

Using historical data and machine learning to forecast future customer behaviour, campaign performance, and market trends.

The practice of crafting precise instructions to AI tools to generate desired outputs for marketing and ad creation tasks.

A security vulnerability where malicious instructions bypass AI safeguards by manipulating how language models interpret user inputs.

Quantization is an AI optimization technique that reduces the precision of model weights to decrease file size and improve inference speed.

Rate limiting controls how many requests an application can make to an API within a specific time period to prevent overload.

An AI system that predicts and suggests products, content, or ads most likely to interest individual users based on their behaviour and preferences.

A machine learning technique where AI models are trained using human feedback to improve accuracy, safety, and relevance in marketing applications.

Responsible AI refers to the ethical development and deployment of artificial intelligence systems that are transparent, fair, and accountable in advertising and media buying.

Software automation that mimics human actions to execute repetitive marketing and media buying tasks with minimal human intervention.

Semantic search interprets the meaning and intent behind search queries rather than just matching keywords, using AI and natural language processing.

Sentiment analysis uses AI to detect and classify emotions and opinions expressed in text, helping brands understand audience reactions to campaigns.

Unauthorised or untracked AI systems operating within marketing and media workflows without proper governance or oversight.

Stable Diffusion is an open-source AI model that generates high-quality images from text descriptions, enabling marketers to create visuals without hiring designers.

Two fundamental machine learning approaches: supervised learning uses labeled data to predict outcomes, while unsupervised learning finds hidden patterns in unlabeled data.

Artificially created data generated by machine learning models to simulate real-world patterns without exposing sensitive information.

Temperature controls randomness in AI model outputs, affecting creativity and consistency in generated text and predictions.

Throughput measures how much data or how many requests an AI system can process within a given time period, typically per second.

The historical information used to teach AI models how to recognize patterns and make predictions for advertising and marketing decisions.

Transfer learning applies knowledge from pre-trained AI models to new advertising tasks, reducing training time and improving performance with limited data.

A neural network architecture that uses attention mechanisms to process data sequentially, powering modern AI systems like ChatGPT and predictive advertising tools.

Weights are numerical values in machine learning models that determine how strongly input data influences predictions and outcomes.

Streaming in AI advertising refers to the continuous flow of real-time data used to train models, make predictions, and optimize campaigns instantly.

DALL-E is an AI image generation tool that creates original images from text descriptions, useful for marketers creating ad creative and visual content.

Deep learning is an AI technique using multi-layered neural networks to identify patterns in data and make predictions without explicit programming.

Inference is when a trained AI model makes predictions or decisions on new data in real-time, without learning from it.

Kubernetes is an open-source platform that automates the deployment, scaling, and management of containerized applications.

Perplexity AI is an answer engine using large language models to provide sourced, conversational responses to user queries.

RAG is an AI technique that combines document retrieval with language models to generate accurate, contextual responses using real-time data.

A TPU is a specialized AI chip designed to accelerate machine learning tasks, increasingly used in ad tech and programmatic advertising platforms.

A chatbot is an AI-powered software that simulates human conversation to interact with users, answer questions, and automate customer service.

An AI agent is a software system that perceives its environment and takes independent actions to achieve specific goals.

An epoch is one complete pass through an entire training dataset during machine learning model development.

Using AI and software to automatically execute repetitive marketing and advertising tasks, saving time and improving consistency.