Blog about Digital Advertising & Marketing Technology

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.

With IntentGPT, the company is the first DSP to introduce an LLM-based targeting solution.

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.

This edition of the Cookieless Newsroom highlights intensifying regulatory scrutiny of Big Tech in Europe and growing momentum around privacy-preserving infrastructure in AdTech. Meanwhile, major platforms like Netflix and Spotify are building their own ad ecosystems to seize more control over monetization.

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.

In this edition of the Cookieless Newsroom, we spotlight pivotal updates from Europe. The European Data Protection Supervisor clarifies that pseudonymized data remains non-personal if re-identification is unfeasible, while French and German regulators are poised to take decisive action against Apple’s anti-competitive practices under the DMA.