Guide to: Artificial Intelligence (AI)

The latest articles, wikis, podcasts, books, and more about AI


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More Books About Artificial Intelligence

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…

The Agile Brand Guide®: Generative AI

The Agile Brand Guide®: Generative AI

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…

Priority is Prediction

Priority is Prediction by Greg Kihlström

Foreword by Simonetta Turek, Chief Product Officer at Medallia The stakes have never been higher for enterprise organizations to take decisive action. Yet, to prioritize…

House of the Customer by Greg Kihlström


Podcast Episodes About Artificial Intelligence


From the Martechipedia Wiki

  • 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…

  • 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…

  • 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.

  • Point of Sale (POS)

    Point of Sale (POS) refers to the location or medium where sales transactions occur between a merchant and a customer. This can be a physical place, such as a checkout counter in a store, or a digital setting, such as a website or mobile application.

  • Retrieval Augmented Generation (RAG)

    Retrieval Augmented Generation (RAG), is an AI-based approach that combines the strengths of information retrieval systems with those of AI language models to produce more relevant, reliable, and context-aware information.

  • Reverse Logistics

    Reverse logistics in the context of e-commerce refers to the process of managing the return, replacement, repair, recycling, or disposal of products after they have been delivered to customers. Unlike traditional logistics, which focuses on the forward movement of goods from seller to buyer, reverse logistics handles the movement of goods from the customer back…

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.

The Agile Brand Guide
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