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
How Real Marketers Turn Algorithms into Actual Outcomes Stop treating AI like a magic lamp; start making it earn its seat at the budget table.…
In today’s dynamic marketing landscape, artificial intelligence (AI) stands at the forefront of innovation, offering unprecedented opportunities for marketers. This book enables marketing professionals to…
While there is a lot of conversation around artificial intelligence (AI) and its potential applications in marketing and customer experience, there are still more question…
House of the Customer by Greg Kihlström
Podcast Episodes About Artificial Intelligence
From the Martechipedia Wiki
-
Contentsquare
Contentsquare is a digital experience analytics platform that helps businesses understand how and why users are interacting with their websites, mobile sites, and apps. Its key differentiators lie in its ability to translate every user interaction into actionable insights, using AI to automatically surface friction points, revenue opportunities, and engagement trends without requiring manual data…
-
Data (Component of The Center of Experience)
While there are many applications of artificial intelligence (AI) and machine learning that can be used throughout the customer and employee experiences, our primary usages of these tools within the Center of Experience revolve around three things: orchestration, next best action, and analysis and measurement.
-
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.
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.