Excel's Data Model feature allows you to build relationships between data sets for easier reporting. Here's how to use it to make data analysis easier.

Then how does a company like this create AI models? What is the process? Well, as should be no surprise, it is complex and susceptible to failure.

One of the most important steps in desiging a database is establishing the data model. Part one of a two-part article describes how to create a logical model.

Ready to make AI work for your organization? Get these best practices and actionable strategies to help you successfully implement AI and achieve lasting success at your company.

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 human ...

The generative AI boom is fueling a 'shadow war for data.' AI companies have used information scraped from the internet for model training. A backlash is brewing as content creators realize their ...

How to create compelling scientific data visualizations Start with pen and paper, keep things simple, do your coding at the end, say data visualization specialists.

Agencies should start with strategy — not spreadsheets — to build a strong data foundation. For too long, governance boards ...

When using the PyTorch neural network library to create a machine learning prediction model, you must prepare the training data and write code to serve up the data in batches. In situations where the ...