Open-source artificial intelligence (AI) refers to AI technologies where the source code is freely available for anyone to use, modify and distribute. When AI algorithms, pre-trained models, and data sets are available for public use and experimentation, creative AI applications emerge as a community of volunteer enthusiasts builds upon existing work and accelerates the development of practical AI solutions. As a result, these technologies quite often lead to the best tools to handle complex challenges across many enterprise use cases.

Open-source AI projects and libraries, freely available on platforms like GitHub, fuel digital innovation in industries like healthcare, finance and education. Readily available frameworks and tools empower developers by saving time and allowing them to focus on creating bespoke solutions to meet specific project requirements. Leveraging existing libraries and tools, small teams of developers can build valuable applications for diverse platforms like Microsoft Windows, Linux, iOS and Android.

The diversity and accessibility of open-source AI allow for a broad set of beneficial use cases, like real-time fraud protection, medical image analysis, personalized recommendations and customized learning. This availability makes open-source projects and AI models popular with developers, researchers and organizations. By using open-source AI, organizations effectively gain access to a large, diverse community of developers who constantly contribute to the ongoing development and improvement of AI tools. This collaborative environment fosters transparency and continuous improvement, leading to feature-rich, reliable and modular tools. Additionally, the vendor neutrality of open-source AI ensures organizations aren’t tied to a specific vendor.