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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Logic (Dimensions of Personalized Experiences)
Logic is defined in House of the Customer (2023) as containing five dimensions that make up the creation and delivery of personalized experience.
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Machine Learning (ML)
Machine learning (ML) is a branch of artificial intelligence that focuses on building models that learn patterns from data and improve their performance on a task over time without being explicitly programmed with task-specific rules. Given examples (data) and a defined objective (such as minimizing prediction error), machine learning systems infer relationships and use them…
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Machine Learning (ML)
Machine Learning (ML) is a subset of artificial intelligence focused on building models that learn patterns from data to make predictions, classifications, recommendations, or decisions without being explicitly programmed with fixed rules. In ML, a model is trained on examples (data) to estimate a function that maps inputs (features) to outputs (labels, scores, or actions).…
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Michael Domanic
Michael Domanic is the Head of AI at UserTesting, where he leads the company’s AI transformation efforts. His work focuses on driving enterprise-wide adoption of AI to unlock meaningful business value. Michael partners closely with cross-functional leaders to embed AI into core workflows, foster a culture of innovation, and scale AI fluency across the global…
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Multimodal AI
Multimodal AI refers to artificial intelligence systems that can process, interpret, and generate data from multiple input types or “modalities,” such as text, images, audio, video, and sensor data. Unlike unimodal AI models, which handle only one type of input, multimodal AI integrates and analyzes diverse data types to provide richer, more comprehensive insights and…
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Natural Language Interfaces (NLI)
Natural Language Interfaces (NLI) are user interfaces that allow people to interact with computer systems, software, or devices using natural human language—spoken or written—instead of specialized commands or programming syntax. NLIs use technologies such as Natural Language Processing (NLP) and Artificial Intelligence (AI) to understand, interpret, and respond to user queries, making complex systems more…
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.