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:


Featured Article


More Books About Artificial Intelligence

Stop Saying “AI”

Stop Saying "AI": Why it No Longer Means Anything, and What to Say Instead

“We’re investing in AI.” It’s on the slide, everyone nods, and five people in the room just pictured five different machines: a chatbot, a forecasting…

AI Isn’t a Goal (or a Strategy)

AI Isn't a Goal (or a Strategy) by Greg Kihlström

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.…

Using AI in Marketing

Using AI in Marketing: An Introduction by Greg Kihlström

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…

House of the Customer by Greg Kihlström


Podcast Episodes About Artificial Intelligence


From the Martechipedia Wiki

  • 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.

  • Gary Lombardo

    Gary Lombardo is Chief Marketing Officer at Athos Commerce, where he leads marketing, brand strategy, communications, and thought leadership. With more than 20 years of experience in retail technology, ecommerce, and SaaS, he helps retailers navigate the rapidly evolving world of AI-powered commerce. Gary is a frequent speaker on topics including artificial intelligence, digital merchandising,…

  • 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…

  • 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…

  • Generative Pre-Trained Transformer (GPT)

    Generative Pre-trained Transformer (GPT) is an advanced type of artificial intelligence model developed by OpenAI, primarily used for natural language processing tasks.

  • Greg Kihlström

    Greg Kihlström is known as a MarTech futurist, and is a recognized thought leader in the domain of marketing technology (MarTech), customer experience (CX), and operational agility. His career spans the early development of the World Wide Web to the current era of Agentic Artificial Intelligence. Kihlström is a best-selling author of over twenty books,…

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.

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