As cookie deprecation closes in on third-party data, the advertising industry must find new ways to approach audience targeting. In search of better-performing identity graphs, advertisers and ...

Modern consumer-facing organizations rely on collaborative, data-driven decisions to fuel their business—yet the challenge is to do so with a keen focus on ensuring sound, well-maintained, accessible ...

Imagine this: you’ve just received a dataset for an urgent project. At first glance, it’s a mess—duplicate entries, missing values, inconsistent formats, and columns that don’t make sense. You know ...

As a product manager, I have worked closely with data engineering teams and witnessed the fantastic ways to transform raw web data into insights, products, data models, and more. Data cleaning ...

In the modern advertising landscape, two forces stand out as major disruptors: privacy and artificial intelligence. Although AI's long-term impact will extend far beyond advertising, the immediate ...

If I had a dollar for every headline I’ve seen about data clean rooms in the last month, I’d be writing from a yacht in the Bahamas. (Well, not really, but clean rooms are dominating ad tech ...

The world runs on data. A hallmark of successful businesses is their ability to use quality facts and figures to their advantage. Unfortunately, data rarely arrives ready to use. Instead, businesses ...

The healthcare industry has a data paradox. Globally, there’s an estimated 2.5 zettabytes of healthcare data – but only a fraction of it is actually usable. And the overwhelming majority of that ...

What is data cleaning in machine learning? Data cleaning in machine learning (ML) is an indispensable process that significantly influences the accuracy and reliability of predictive models. It ...