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 ...

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 ...

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 ...

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 ...

Kasi Rajeev Oduri is a senior AI and data science leader in ad tech and a member of the IAB shaping advertising standards. In today's AI-driven digital world, the marketing ecosystem has become ...

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 Federal Trade Commission published a blog post last week warning companies that using a data clean room isn’t some kind of get-out-of-compliance-free card. And the first paragraph is a doozy. “Don ...

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 ...