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Developing Machine Learning (ML) & AI Models in AdTech [+Examples]

Clearcode

Machine learning (ML) and artificial intelligence (AI) have become a cornerstone of modern AdTech, transforming how advertisers run key programmatic advertising processes, such as audience targeting, media planning, and campaign optimization. What Is Machine Learning (ML)?

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Deep learning vs. machine learning

Ad Ops Hero

In the fast-paced world of artificial intelligence, there is an ongoing revolution that keeps tech enthusiasts intrigued: the showdown between Deep Learning and Machine Learning. If Machine Learning is a versatile tool, then Deep Learning is a Swiss Army knife.

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Demand Forecasting and Machine Learning Platforms: How Machine Learning-based SaaS Tools and Solutions Can Help Brands Estimate Future Demand Based on Varied Demand Signals

Martech Series

The goal of machine learning in demand forecasting: The goal of machine learning (ML) is to analyze and comprehend statistical data using algorithms that look for patterns. Demand forecasting is a commonly utilized machine learning application in supply chain planning, according to a Gartner survey.

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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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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. million apps, 10 billion devices and 35 billion impressions per month. million bid requests and make 4 million deep learning predictions per second.

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How to clarify marketing metrics to impress the C-suite

Martech

Despite advancements in addressability and attribution, marketers still struggle to find ROI measures that impress the CFO and the CEO. For example, machine learning algorithms can analyze vast amounts of data to predict which leads are most likely to convert. Email: Business email address Sign up now Processing.

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Why Traffic Shaping is Key to Success for CTV Buyers and Publishers

PubMatic

As they start to explore working with multiple partners, what’s becoming apparent is that the real differentiator lies in how various Sell-Side Platforms (SSPs) manage traffic shaping through their machine learning algorithms. This is where traffic shaping powered by AI/machine learning, comes in.