Here’s what you need to know about IBM’s new open-source Data Asset Exchange for AI

    Date25 Jul 2019
    1916
    Posted ByBrittany Day
    Data 796x399

    Have you heard that IBM’s Center for Open-Source Data and AI Technologies (CODAIT) recently unveiled a pair of carefully curated databases designed to provide machine learning developers models and datasets for AI projects?

    MAX, or Model Assets Exchange, is an online open-source repository for trainable/deployable AI models. You don’t necessarily have to be an AI expert to use the database – there’s even a tutorial that’ll walk you through developing an AI that can write captions – but some of the models available will probably only appeal to enterprise developers.

    CODAIT also launched the Data Assets Exchange (DAX). Where MAX hosts full AI models, DAX contains datasets that can be used to train your own. As open-source training datasets for AI aren’t exactly rare, but well-curated ones are, TNW reached out to Fred Reiss, the Chief Architect at CODAIT, to find out what was so special about DAX.

     
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