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
House of the Customer by Greg Kihlström
Podcast Episodes About Artificial Intelligence
From the Martechipedia Wiki
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Mike Kaput
Mike Kaput is a recognized expert on marketing, content, and artificial intelligence. He is also a writer, speaker, and author. Mike currently serves as Chief Content Officer at Marketing AI Institute, where he uses marketing, content, and AI to grow traffic, leads, and revenue.
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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…
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Natural Language Processing (NLP)
Natural Language Processing (NLP) is a branch of artificial intelligence (AI) that enables computers to understand, interpret, generate, and respond to human language. NLP combines computational linguistics with machine learning, deep learning, and statistical models to process and analyze text and speech in a way that mimics human communication.
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Open Semantic Interchange (OSI)
Open Semantic Interchange (OSI) is a vendor-neutral, open-source specification for defining and exchanging semantic models — the business definitions of metrics, dimensions, datasets, and relationships — across data analytics, business intelligence (BI), and artificial intelligence (AI) platforms. It uses a declarative YAML format to express how business concepts such as “revenue,” “active customer,” or “conversion…
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Place vs. Property
Place vs. Property is a diagnostic from Greg Kihlström’s book Stop Saying “AI” for predicting whether a technology’s name will stick or fade. A place is something you go to, so it keeps its name (the internet). A property is something things have, so its name disappears (electricity). AI is becoming a property, not a…
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.