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
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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.
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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.
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Five9
Five9 is an intelligent cloud contact center platform that helps businesses manage and optimize their customer interactions across various channels, including voice, email, chat, social media, and more. Its key differentiators include a strong emphasis on practical AI and automation to enhance agent productivity and customer experience, as well as its established position as a…
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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.
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Generative AI (GenAI)
Generative AI (GenAI) is the class of AI models that emulate the structure and characteristics of input data in order to generate derived synthetic content (for example, images, video, audio, text, and other digital content). In practice, GenAI systems generate outputs from inputs such as prompts, reference assets, and/or retrieved documents, producing content that can…
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Generative Engine Optimization (GEO)
Generative Engine Optimization (GEO) is the discipline of preparing digital content so artificial-intelligence search systems—such as ChatGPT, Perplexity, and Google’s AI Overviews—can ingest it, extract facts, and surface it as cited evidence in generated answers. Unlike search-engine optimization (SEO), which contests for ranked blue links, GEO focuses on factual precision, entity clarity, and structured context…
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.