article thumbnail

Safeguarding the Digital Ad Ecosystem: Strategies for Ad Fraud Prevention in 2024

Ad Monsters

With global losses due to ad fraud projected at $100 billion by the end of the year, Ann Tarasewicz, CEO, Axis, takes a look at strategies that ad tech platforms are implementing to enhance ad fraud security in 2024. But it’s not like ad tech is sitting idly by on this one.

article thumbnail

AI for Fraud Detection in Real-Time Bidding

The Ad Tech Blog

Techniques such as machine learning, deep learning, and natural language processing are employed to scrutinize various signals like user behavior and geolocation. AI models are trained using supervised, unsupervised, or reinforcement learning to adapt and improve over time. How does AI enhance RTB fraud detection?

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

20 Top Women in Media & Ad Tech to Look Out For

Ad Monsters

It was a highly inspiring evening at this year’s Top Women In Media & Ad Tech awards, where we honored 127 amazing women along with our sister brand AdExchanger. While every honoree was top-notch, there were a few that we encourage you to keep an eye out for as they are doing incredible things within media and ad tech.

Ad Tech 99
article thumbnail

ML Models for Threat Prediction in Ads

The Ad Tech Blog

Understanding ML Threat Prediction in Advertising Overview of ML Threat Prediction ML threat prediction in advertising is a burgeoning field that leverages machine learning techniques to identify and mitigate potential threats in advertising campaigns. This includes fraud detection , privacy breaches , and malicious ad content.

article thumbnail

Madhive Secures $300 Million Investment From Goldman Sachs

VideoWeek

Madhive today announced the ad tech firm has received a $300 million investment from Goldman Sachs Asset Management. In 2021 the company invested $100 million in Google Cloud technology, leveraging its machine learning capabilities to automatically move ad budgets into higher-performing placements.

Ad Tech 98
article thumbnail

Google Optimized Pricing: How It Works and a Comparison to Its Alternative

YieldBird

What is Google Optimized Pricing Google Optimized Pricing is a feature within Google Ad Manager that uses machine learning algorithms to dynamically set optimal pricing for programmatic ad inventory. Since machine learning algorithms make pricing decisions, publishers can struggle to understand their reasoning.

article thumbnail

Loop Media Partners With Hivestack

Martech Series

Hivestack is a global entity with impressive reach, which is attractive to Loop Media as it gains scale beyond the United States”. Additionally, Loop will have the ability to generate even more programmatic ad revenue and benefit from the unique demand from Hivestack’s own demand side platform (DSP).