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  • Deep Learning
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RTB House Editorial Team
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:
    19 April 2023

    AI vs. Deep Learning vs. Machine Learning in Advertising

    People are bombarded with thousands of ads every day, both offline and online. With the growing popularity of ad-blocking, it’s clear that they are looking for ways to reduce the number of ads shown. One of the big challenges is that most of this ad content is irrelevant to users. This article will explain how AI technology can help advertisers to deal with it and to improve campaign performance with more precise targeting through Deep Learning.

    • Deep Learning
  • Published:
    12 April 2023

    TCF Action Freeze, Big Tech Antitrust Update, SDA Buy-Side Analysis, and Other News

    In this Media Review, you can read 6 stories, including big tech antitrust update, Meta letting users opt out of some targeted ads (and only in selected countries), and ramping the FLEDGE origin trial back up and launching isolated experiments.

    • Cookieless World
  • Published:
    5 April 2023

    Why Data-Driven Personalization is the Key to Marketing Success

    Everyone loves a good challenge, but some are tougher to tackle than others. For marketers, the big one is the personalization paradox. 71% of consumers prefer personalized ad content, but 74% are also concerned about how advertisers are actually using their personal data. This creates a problem for marketers. They want to reach out to their customers with personalized content but often rely on tracking technologies that are considered invasive. Fortunately, there is an answer to this particular paradox. Brands can use data-driven strategy to leverage large anonymized datasets that provide rich personalization at scale without compromising on privacy.

    • Digital Advertising
  • Published:
    30 March 2023

    RTB House Korea & Publicis Media Day Event

    On March 7, 2023, Publicis, one of the world’s largest marketing and communications organizations, welcomed RTB House experts for a seminar centered on Deep Learning-powered campaign solutions. The well attended event took place in Seoul and was presented by members of the RTB House Korea Sales, AM and Inventory team, Josh Jang, Jieun Yang, Taekyung Kim, and Semi Hong.

    • Company News
  • Published:
    30 March 2023

    Discount Retailers Meeting Challenges and Taking Opportunities in 2023

    2023 is an economy of contradictory forecasts. There is market uncertainty and many macroeconomic factors pointing to difficult times ahead. Meanwhile, we see continued success and strong growth projections for many retailers and categories.

    Consumers are also unsure how to feel, but there is a general sense of caution. According to a recent Forrester Report, 64% of Americans and 55% of French consumers are anxious about a possible recession. Because of this, everyday and discount retailers have become critical for online and in-store shoppers.

    We will look at some of the challenges and opportunities for discount retailers, focusing on some large brands from the US, Australia, and other countries. We’ll be discussing three elements of retargeting ad campaigns that can positively impact business right now.

    • Retail & Ecommerce
  • Published:
    20 March 2023

    [VIDEO] 2023: The year of Deep Learning AI… and what it means for e-commerce

    Where are we in the evolution of artificial intelligence, and what is its place in the marketing ecosystem? To harness the true future potential of any technology, we need to understand its capabilities and limitations today.

    • Deep Learning
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