Guide to: Artificial Intelligence (AI)

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


Podcast Episodes About Artificial Intelligence


From the Martechipedia Wiki

  • Bayes’ Theorem

    Bayes’ Theorem is a fundamental theorem in probability theory that describes how to update the probability of a hypothesis based on new evidence. It is named after Thomas Bayes, an 18th-century statistician and minister who first formulated the concept. Bayes’ Theorem provides a mathematical framework for reasoning about uncertainty and is widely used in fields…

  • Business-to-Business-to-Consumer (B2B2C)

    B2B2C stands for business-to-business-to-consumer and refers to the process of businesses selling products or services to other businesses who then sell them on to end consumers. This model differs from traditional B2B or B2C models because it involves multiple stakeholders with different needs and expectations.

  • Citizen Data Scientist

    Citizen Data Scientists (CDS) are professionals who have strong business acumen, domain expertise, and a good understanding of data analytics tools and techniques.

  • Content Marketing

    Content marketing is the practice of creating valuable, relevant, and consistent content that attracts and retains a clearly defined audience, ultimately driving profitable customer action.

  • Contentsquare

    Contentsquare is a digital experience analytics platform that helps businesses understand how and why users are interacting with their websites, mobile sites, and apps. Its key differentiators lie in its ability to translate every user interaction into actionable insights, using AI to automatically surface friction points, revenue opportunities, and engagement trends without requiring manual data…

  • Data (Component of The Center of Experience)

    While there are many applications of artificial intelligence (AI) and machine learning that can be used throughout the customer and employee experiences, our primary usages of these tools within the Center of Experience revolve around three things: orchestration, next best action, and analysis and measurement.

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.