Guide to: Artificial Intelligence (AI)

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


Podcast Episodes About Artificial Intelligence


From the Martechipedia Wiki

  • (4) Principles of Explainable AI

    Explainable artificial intelligence is governed by four fundamental principles, as identified by data-science experts at the National Institute of Standards and Technology (NIST)

  • 1:1 Omnichannel Personalization

    1:1 Omnichannel Personalization refers to the strategy of customizing a customer’s experience at an individual level across multiple channels and touchpoints. Unlike single- or multi-channel personalization, which may involve only one or a few points of interaction, omnichannel personalization integrates and synchronizes every customer interaction, whether online or offline, to deliver a cohesive and highly…

  • Agentic Artificial Intelligence (AI)

    Agentic AI refers to artificial intelligence systems capable of autonomous decision-making, action-taking, and adaptation to achieve predefined goals or objectives. These systems exhibit “agency,” meaning they can act independently within their environment by analyzing data, assessing situations, and executing tasks without continuous human guidance. Agentic AI is a cornerstone of advanced AI applications, representing a…

  • AI Agent

    An AI agent is a goal-driven software system that uses a reasoning engine — usually a large language model — to interpret an objective, plan the steps to reach it, call external tools to carry those steps out, take action on its own, and adjust based on what comes back. The defining trait is that…

  • AI detection software

    AI detection software is software designed to estimate whether content was created wholly or partly by an artificial intelligence system. In most current discussions, the term refers to tools that analyze text and assign a probability or score suggesting that some portion may have been generated by a large language model, though the category can…

  • 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.

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.