Despite the continued hype surrounding AI adoption, many overlook one of the biggest factors for AI success: data quality.

“Data-Driven Thinking” is written by members of the media community and contains fresh ideas on the digital revolution in media. Today’s column is written by Carolina Abenante, co-founder of NYIAX.

In this video, we explore the new Clean Data button in Excel, which utilizes AI to automate data cleaning. We examine its ...

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 ...

Over the past two years, data clean rooms have exploded onto the programmatic advertising scene, and they’re already at the center of some of the most exciting new partnerships and growth ...

Data cleaning is an essential step in data analysis. Inaccurate or inconsistent data can lead to incorrect conclusions and poor decision-making. Microsoft Excel, a powerful tool for data management, ...

Data cleaning is a critical step in the data processing cycle that can significantly impact the quality of data-driven initiatives. It’s not just about removing errors and inconsistencies; it is also ...

Are data clean rooms the answer to accessing high-quality customer data for marketing? By now, most marketers are aware of the convergence of global factors that will undoubtedly make targeting and ...

The ultimate purpose for data is to drive decisions. But data isn’t as reliable or accurate as we want to believe. This leads to a most undesirable result: Bad data means bad decisions. As a data ...

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 ...