To feed the endless appetite of generative artificial intelligence (gen AI) for data, researchers have in recent years increasingly tried to create "synthetic" data, which is similar to the ...

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, ...

If your are wondering how to handle large datasets and complex calculations in your spreadsheets. This is where MS Excel PowerPivot comes into play. PowerPivot is an advanced feature in Excel that ...

Google is moving quickly to a future of data modeling. Here's how paid search marketers need to approach the analytics shift. There’s a lot going on in the world of Google Analytics 4 right now, as ...

At its heart, data modeling is about understanding how data flows through a system. Just as a map can help us understand a city’s layout, data modeling can help us understand the complexities of a ...

Just because your firm can use your existing data for AI risk modelling doesn’t mean you should. There’s a perception that AI can create accurate predictions based on any data set. That’s not always ...

Learning how a “large language model” operates. By Kevin Roose In the second of our five-part series, I’m going to explain how the technology actually works. The artificial intelligences that powers ...

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 ...