开源组织合并以获得更好的高科技牵引

Linux基金会正在加倍致力于开源合作，以推动更多使用人工智能(AI)、机器学习(ML)和深度学习(DL)的技术创新。10月25日，LF AI基金会和ODPi合并成立了LF AI和数据基金会。

在LF的支持下，这个新组织将建立并支持一个开放的社区和一个不断增长的开源人工智能、数据和分析项目生态系统。

LF人工智能基金会建立了一个生态系统，以支持和维持人工智能、ML和DL的开源创新。ODPi是一个非营利组织，致力于推动大数据解决方案的开放生态系统。这次合并意义重大，因为人工智能和数据是不可分割的、相互依赖的。

这两个领域的联合努力将开发者和项目置于同一个屋檐下，由一个技术咨询委员会和几个委员会(Trusted AI, BI & AI)协调，共同致力于构建开源AI和数据生态系统，加速开发和创新。

合并后的实体为终端用户在工具、互操作性、集成、标准以及AI、数据和分析的未来提供统一指导，因为AI在每个行业的使用都在持续增长。合并的另一个好处是，使LF为其托管项目提供各种服务的成员获得更高的效率。

将项目托管在一个保护伞下，可以实现跨项目更紧密的协作、集成和互操作性。根据LF官员的说法，这是建立强大开放生态系统的良方。

LF AI执行董事易卜拉欣•哈达德(Ibrahim Haddad)指出，今年迄今为止，LF AI已经新增了13个项目，其中包括几个数据项目。

原文：The Linux Foundation is doubling down on open source collaboration to drive more innovation in technology that uses artificial intelligence (AI), machine learning (ML), and deep learning (DL). The LF AI Foundation and ODPi merged on Oct. 25 to form the LF AI & Data Foundation.

This new organization, under the auspices of the LF, will build and support an open community and a growing ecosystem of open source AI, data, and analytics projects.

The LF AI Foundation built an ecosystem to enable and sustain open source innovation in AI, ML and DL. ODPi was a nonprofit organization accelerating the open ecosystem of big data solutions. The merger is significant as AI and data are inseparable and codependent on each other.

Combining efforts in both spaces brings developers and projects under a single roof, orchestrated by a single Technical Advisory Council and several committees (Trusted AI, BI & AI), to work together towards building the open-source AI and data ecosystem and accelerating development and innovation.

The combined entities provide unified guidance for end users on tools, interoperability, integration, standards and the future of AI, data and analytics as its use continues to grow in every industry. Another advantage sought in the merger allows greater efficiency for members across the various services LF offers to its hosted projects.

Hosting projects under a single umbrella enables closer collaboration, integration, and interoperability across projects. It is a proven recipe for building strong open ecosystems, according to LF officials.

LF AI has added 13 projects so far this year, noted Ibrahim Haddad, LF AI executive director, including several data projects.