2 min

IBM has launched a repository of free and open machine learning datasets called Data Asset eXchange (DAX). According to Big Blue, DAX is specifically designed for enterprise organizations.

DAX only offers high quality datasets and clearly defined open data licenses in standardized formats, writes ZDNet. Not only does DAX contain datasets, but it also provides metadata and additional content as tutorials. This should make it easier for companies to work with the datasets.

The repository also offers unique access to different datasets from IBM and IBM Research. For example, Big Blue makes the Finance Proposition Banking and Contracts Proposition Bank datasets available. These datasets are part of an active research programme aimed at improving natural language understanding technologies contained in products such as Watson Natural Language Understanding.


The DAX repository is designed to complement the Model Asset eXchange (MAX). MAX helps data scientists and developers to find free and open source machine learning and deep learning models.

The company’s goal is to make it easier to use “DAX and MAX Assets in conjunction with IBM AI products, as well as other hybrid, multicloud AI tooling, both proprietary and open source”.

IBM also launched three new open source projects, which should make it easier for developers to build and deploy cloud-native apps for Kubernetes. It concerns Kabanero, Appsody and Codewind.

Red Hat

IBM has been focusing more on open source and hybrid cloud strategies lately, and even took over open source specialist Red Hat for 34 billion dollars. This acquisition was completed last week. In addition to being an open source specialist, Red Hat is also an advocate of the hybrid cloud.

The acquisition should make it easier for customers to switch to hybrid (multi)cloud environments. The two companies can supply the entire technology stack for this together. However, Red Hat continues to operate independently and develops, supplies and distributes its own products.

This news article was automatically translated from Dutch to give Techzine.eu a head start. All news articles after September 1, 2019 are written in native English and NOT translated. All our background stories are written in native English as well. For more information read our launch article.