If you look at the set of new innovative data systems or computational layers: most are open source, but virtually all that succeed have some backing company willing to fund development.

Or you could insert the logos of any number of companies (Red Hat, Intel, Novell, etc.). While we talk about organic open source, the reality is that even "organic" communities like Apache are ...

If “open source” was the rallying cry of the past two decades, “open data” may be the call to arms for the next two. Or it would be, if only we could figure out what it means.

Aptiv has released a comprehensive set of automated driving training data including camera, radar and lidar signals that has been fully annotated and labeled.

Developers should take note of the Apache Unomi open-source customer data platform, which recently passed a major milestone. Customer experience (CX) demands personalization, and personalization ...

InfoWorld’s 2023 Bossie Awards recognize the year’s leading open source tools for software development, data management, analytics, AI, and machine learning.

Let’s take a closer look at what open-source intelligence is, how it works, and how you can apply this type of intelligence to your business operations most effectively. TABLE OF CONTENTS Toggle ...

OSI has long set the industry standard for what constitutes open-source software, but AI systems include elements that aren’t covered by conventional licenses, like model training data.

To look inside this black box, we analyzed Google’s C4 data set, a massive snapshot of the contents of 15 million websites that have been used to instruct some high-profile English-language AIs ...

Open source data movement company Airbyte is launching additional connectors to help enterprises better utilize their data in the age of AI without compromising data sovereignty.. The San ...

Open Materials 2024 will be one of the biggest data sets available for materials science. Meta is releasing a massive data set and models, called Open Materials 2024, that could help scientists ...

Microsoft AI researchers accidentally exposed tens of terabytes of sensitive data, including private keys and passwords, while publishing a storage bucket of open source training data on GitHub.