The Linux Foundation’s AI Foundation & ODPi will merge to support a growing portfolio of technologies and drive open source collaboration across AI and data. This new AI & Data Foundation will combine the industry’s growing open source developments in artificial intelligence and open data.
To build and support an open AI and data community
The Linux Foundation is the organization that builds an ecosystem to enable and sustain open source innovation in artificial intelligence (AI), machine learning (ML), and deep learning (DL). ODPi is a nonprofit organization accelerating the open ecosystem of big data solutions. They aim to build and support an open AI and data community and drive open source innovation in the AI, ML, DL, and data domains by enabling collaboration and the creation of new opportunities for all the members of the community.
Dr. Ibrahim Haddad, LF AI Executive Director, said,
“LF AI has been growing at the rate of one new project per month, including several data projects. It is a natural move to bring together the open AI and data communities to enable better interoperability and capabilities across all of our hosted projects and to enable closer collaboration, which has been a proven recipe for building a strong open ecosystem. It will also provide our members greater cost efficiency when supporting our projects. We look forward to supporting innovation in the open-source ecosystem focused on AI, Data and Analytics.”
Developers and projects will be under a single roof, orchestrated by a single technical advisory council and several committees (Trusted AI, BI & AI). They will have the opportunity to work together towards building the open-source AI & Data ecosystem and accelerating development and innovation.
Hosting projects under a single umbrella will bring closer collaboration, integration, and interoperability across projects and is a proven recipe for building strong open ecosystems. LF AI launched two years ago with nine founding members and one hosted project, and today has 25 members and 20 technical projects.
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