Guide to: Artificial Intelligence (AI)
The latest articles, wikis, podcasts, books, and more about AI
Let’s face it: AI is here to stay, and marketers that want to stay ahead need to keep up with the latest and greatest. The purpose of this page is to compile all our latest content on this important topic. As starting points, here are a few places to go:
- Martechipedia Wiki: Artificial Intelligence
- Expert Mode articles featuring interviews with leading experts
- Our award-winning shows including The Agile Brand with Greg Kihlström®
Featured Article
More Books About Artificial Intelligence
House of the Customer by Greg Kihlström
Podcast Episodes About Artificial Intelligence
From the Martechipedia Wiki
-
Data Science (for Marketers)
Data science is the process and practice of extracting insights from data using various methods and techniques, such as statistics, artificial intelligence and machine learning, and data visualization.
-
Direct-to-Consumer (DTC)
Direct-to-Consumer (DTC) approach. By definition, DTC refers to the process of selling products directly to consumers, bypassing traditional intermediaries like wholesalers, distributors, and retailers. Compared to brands that use traditional distribution channels, DTC brands interact directly with their consumers.
-
Fairness, Accountability, and Transparency (FAT)
Fairness, Accountability, and Transparency (FAT)—often referred to collectively as FAT principles—are foundational ethical guidelines in the development, deployment, and governance of algorithmic systems and artificial intelligence (AI). The goal of FAT is to ensure that technologies are designed and operated in a way that respects human rights, prevents harm, and promotes trust.
-
Features, Advantages, Benefits (FAB)
FAB stands for Features, Areas, Benefits. It’s a simple, yet powerful, framework that helps marketers communicate the benefits of a product in a way that is easy for customers to understand.
-
Garbage in, Garbage out (GIGO)
“Garbage in, garbage out” or GIGO suggests that flawed input will always produce flawed output. It has been around since the early days of computing and refers to the fact that if you input bad data into a computer program, it will produce bad output.
-
Generative AI
Generative AI is the technique of designing AI that mimics human imagination and creativity.
Summary
Artificial intelligence is not just a buzzword, but a technology that is already transforming the marketing industry. From personalization to automation, AI is changing the way marketers work and interact with customers. While there are downsides to the technology, such as privacy concerns and job losses, the potential benefits are too great to ignore. In the coming years, we can expect to see even more innovative uses of AI in marketing.