Guide to: Artificial Intelligence (AI)

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


Podcast Episodes About Artificial Intelligence


From the Martechipedia Wiki

  • Highest Paid Person’s Opinion (HIPPO)

    HIPPO stands for “highest paid person’s opinion.” Relying solely on the opinions and ideas of the highest-ranking person, or HIPPO, can be risky. While they may have years of experience and expertise, they may also be biased or disconnected from the reality on the ground.

  • Ideal Customer Profile (ICP)

    An Ideal Customer Profile (ICP) is a detailed and comprehensive description of the characteristics and behaviors of your ideal customer or target market.

  • Interactive Voice Response (IVR)

    Interactive Voice Response (IVR) is an automated telephony system that interacts with callers through pre-recorded voice prompts, touch-tone keypad selections, and speech recognition. IVR systems allow businesses to handle incoming calls efficiently by routing callers to the appropriate department or providing self-service options without requiring human intervention. IVR is commonly used in customer service, banking,…

  • Internet of Things (IoT)

    The Internet of Things (IoT) refers to a network of physical objects—often called “things”—that are embedded with sensors, software, and other technologies to connect and exchange data with other devices and systems over the internet. These “things” can include a wide variety of devices, ranging from everyday consumer products like smart thermostats and wearable fitness…

  • 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.

  • 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…

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.

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