Better data annotation—more accurate, detailed or contextually rich—can drastically improve an AI system’s performance, adaptability and fairness.

As AI evolves from prediction to autonomy, enterprise systems must adapt—meeting new demands in data retrieval, caching, ...

Data models are used to represent real-world entities, but often have limitations. Avoid common data modeling mistakes for data integrity.

Whether that’s adjusting tactics pre-match, predicting outcomes or preventing injury, data science is changing the game. The ...

Oxford scholars found that large language models fed a diet of 'cannibal' data, created by other LLMs, sink into complete gibberish.

Confidentiality, to a lesser extent, and integrity, to the greatest extent, are the most important considerations with AI ...

Learn how to use the Excel PowerPivot functionality for data modeling in data analysis in your spreadsheets. Once mastered this function ...

Some companies let you opt out of allowing your content to be used for generative AI. Here’s how to take back (at least a little) control from ChatGPT, Google’s Gemini, and more.