The term Benchmarking AI Models belongs primarily to the areas of Artificial Intelligence, Big Data and Smart Data as well as Digital Transformation.
Benchmarking AI models means comparing different artificial intelligence models with each other to find out which one is best suited to a specific task. The aim is to evaluate the performance of models based on data, accuracy or speed. This helps companies and organisations to make informed decisions about which model they should use.
A simple example: Imagine your company wants to have texts sorted automatically. You test several AI models that have been specially developed for text recognition. You use Benchmarking AI Models to check which model sorts the most texts correctly, makes the fewest errors and works the fastest. The best model is then selected and used in everyday work.
Benchmarking AI models saves you time, money and increases the chances of success when introducing new AI solutions - an important basis for digital transformation and handling large amounts of data.