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

  • AI Development Lifecycle

    The journey of an AI model from a simple idea to a live service is known as the AI Development Lifecycle. It is an iterative process where each stage builds on the one before it.

  • AI Literacy

    AI literacy is the set of skills, knowledge and understanding a person needs to use artificial intelligence systems in an informed way. It covers knowing what AI can and can’t do, judging the quality of its output, using it effectively for a task, and recognizing the risks and harms it can cause.

  • AI Maturity Model

    An AI maturity model is a staged framework that describes how far an organization has progressed in adopting artificial intelligence. It scores the organization against a set of dimensions, such as strategy, data and governance, and places it on a scale that usually runs from early experimentation to AI built into daily operations.

  • AI Readiness Assessment

    An AI readiness assessment is a structured evaluation of whether an organization has what it needs to adopt artificial intelligence or to scale AI it’s already using. It checks prerequisites such as data quality, technical infrastructure, staff skills and governance, then reports where the gaps are.

  • AI21 Labs

    AI21 Labs is an artificial intelligence company specializing in developing large language models (LLMs) and agentic AI systems for the enterprise.

  • Alternate Payment Methods (APM)

    Alternate Payment Methods (APMs) refer to payment options that differ from traditional cash or credit card transactions. With the rise of e-commerce and advancements in technology, APMs have become increasingly popular, offering consumers and businesses enhanced flexibility, convenience, and security. These methods encompass a variety of digital and electronic payment mechanisms.

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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