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Understanding Deep Learning doesn’t have to be hard. This section is brimming with articles that explain what Deep Learning is, how we use it at RTB House, and how it can help your company make the most of its retargeting campaigns.

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RTB House Editorial Team
Published:
12 June 2025

Understanding User Intent: How AI Reads Context for Better Targeting

When we began developing IntentGPT, our team was focused on solving a fundamental challenge in digital marketing—truly understanding what users want when interacting online. User intent drives every click, search, and page view. We’d like to share what we've learned about user intent, why it matters for performance marketing, and how contextual AI can help marketers connect with audiences more effectively.

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  • Published:
    12 June 2025

    Understanding User Intent: How AI Reads Context for Better Targeting

    When we began developing IntentGPT, our team was focused on solving a fundamental challenge in digital marketing—truly understanding what users want when interacting online. User intent drives every click, search, and page view. We’d like to share what we've learned about user intent, why it matters for performance marketing, and how contextual AI can help marketers connect with audiences more effectively.

    Read Article
  • Published:
    4 June 2025

    Large Language Models Meet Digital Advertising: Inside IntentGPT's Approach

    Digital advertising continues to evolve at a rapid pace, driven by technological advances, changing consumer behaviors, and shifting privacy regulations. We recently sat down with Jaysen Gillespie, Vice President of Global Product Commercialization at RTB House, to discuss IntentGPT, one of our most significant recent innovations. Gillespie has been instrumental in leading the development and commercial rollout of this technology, which represents a fundamental shift in how advertisers can understand and act on user intent across the web.

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  • Published:
    4 June 2025

    Generative AI vs. Predictive AI

    Artificial intelligence (AI) tools are productivity game changers, but not every AI is suited for every type of task. Some excel at writing copy, others can generate incredible images, and some can help researchers predict the weather. Understanding different types of AI is the key to successfully implementing AI into your workflow. This article will dive into the differences between two of the most commonly used types of AI: Generative AI vs. Predictive AI.

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  • Published:
    29 April 2025

    16 Examples of Generative AI Applications

    Generative AI applications are reshaping how organizations tackle marketing, product innovation, and user engagement. From generating new content to analyzing complex datasets, these advanced systems reduce repetitive tasks and unlock fresh perspectives. In this article, we explore key Generative AI examples and outline practical steps to deploy GenAI applications in different sectors, including marketing, healthcare, and finance.

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  • Published:
    26 March 2025

    Our Top 7 List of Generative AI Tools

    At present, the narrative surrounding AI is a strange cocktail of both dark prophecies and unbridled optimism. However, between these extremes is a growing number of people taking advantage of new Generative AI tools to eliminate dull repetitive tasks, improve their productivity, and ultimately focus more on strategic and creative work.

    When used correctly, this growing toolkit of AI-powered products makes it possible for marketers to concentrate on what they do best and outsource repetitive or time-consuming tasks to AI.

    Let’s take a look at some of the top Generative AI tools for marketers and how you can implement them in your own workflow.

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  • Published:
    25 February 2025

    What Is Generative AI and How Can You Use It?

    Generative artificial intelligence has sparked emotions of hope, fear, and a little skepticism. The technology is able to take over a wide range of tasks previously seen as the domain of skilled professionals, and many feel that they need to adopt generative AI tools or be left behind. However, no technology is a silver bullet, and in order to properly utilize its potential, we need to understand what generative AI is and how it should be implemented into your workflow.

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