When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...

Ever since artificial intelligence and large language models became popular earlier this year, organizations have struggled to keep control over accidentally or deliberately exposing their data used ...

Data modeling tools play an important role in business, representing how data flows through an organization. It’s important for businesses to understand what the best data modeling tools are across ...

Over the years, we've seen a couple of different organizational models for delivering analytics to the business. While both models have their advantages, each model has some severe drawbacks that make ...

Big data is less predictable than traditional data, and therefore requires special consideration when building models. Here are some things to keep in mind. Image: iStock/z_wei Data modeling is a ...

Google's open-source Meridian helps marketers build better models, understand lift by channel and finally bring sanity to their measurement strategies. Necessity is often called the mother of ...