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AdTheorent Is Using Machine Learning To Predict Effective Inventory

AdExchanger

AdTheorent has a new tool that uses machine learning and seed data to score programmatic inventory based on the likelihood. The post AdTheorent Is Using Machine Learning To Predict Effective Inventory appeared first on AdExchanger. Signal loss calls for the use of, well, other signals.

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Amazon Is The Latest Major Ad Platform Going All-In On Machine Learning Tech

AdExchanger

The new hot trend in platform advertising is to put the machines in charge of everything. It’s true of Google, true of Facebook and, even more so as of today, The post Amazon Is The Latest Major Ad Platform Going All-In On Machine Learning Tech appeared first on AdExchanger.

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Machine Learning Leader, Moloco, Announces Expansion of Flagship Retail Media Platform to Southeast Asia

Martech Series

Moloco, a leader in machine learning and growth solutions for performance marketers, has announced the launch of Moloco Retail Media Platform (RMP) for Singapore and Southeast Asia. Moloco’s RMP is a turnkey ad serving platform that enables e-commerce marketplaces to set up their own in-house advertising business.

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mPhase Names Machine Learning Expert Charles Martin to Advisory Board

Martech Series

(“mPhase” or the “Company”), a leading consumer engagement company developing a suite of mPower mobility services that increase revenue for retailers, is pleased to announce AI and Machine Learning expert Charles Martin as a member of the Company’s newly formed mPower Advisory Board.

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Need to Know: How Machine Learning is Transforming Ad Targeting

Exchange Wire

An intersection of artificial intelligence and data science, machine learning has propelled digital advertising into a new era, in which enhanced automation and detailed data can be utilised to elevate advertising campaigns. With the deprecation of third-party cookies drawing nearer, [.]

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Google Ads announces machine learning-based attribution models in new privacy landscape

Martech

As Google works toward a move privacy-focused search experience for users, it’s also adjusting the available attribution models for advertisers. The default last-click model only counts the final interaction toward the attribution, so advertisers have the potential to miss out on contributing micro-conversions along the user journey.

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InRule Technology Enhances Bias Detection, Empowering Greater Explainability and Lower Risk for Enterprise Machine Learning

Martech Series

New bias detection report enables users to confidently audit their machine learning models for bias at a glance with an easy-to-understand visualization. With the bias detection report, enterprise users can de-risk their machine learning programs.