IBM joins R Consortium, aims to make analytics easier
As a (new) member of the R Consortium, IBM will work side by side with the R user community and support the project’s mission to pinpoint, create and implement infrastructure projects that drive standards and best practices for R code.
IBM is now a Platinum member of the R Consortium, an open source foundation which supports the R user community and a Linux Foundation project. The R Consortium aims to support the growing R user community and help ensure that the language evolves to meet new data challenges as they arise.
IBM has previously relied on R, among other data languages, to help create innovative solutions like IBM Watson, an open, cognitive computing technology platform. As a member of the R Consortium, IBM will collaborate with the R user community and support the project’s mission to identify, develop and implement infrastructure projects that drive standards and best practices for R code, according to the announcement. IBM will also be seated on both the Board of Directors and Infrastructure Steering Committee (ISC), and will help provide support and technical guidance to the R community.
Dinesh Nirmal, vice president of development for next generation analytics platform and big data solutions, who will also join the R Consortium Board of Directors, announced:
IBM is deeply invested in open source software for computing applications like data science. And as a long time member of The Linux Foundation, it’s a natural fit for us to extend our commitment to collaborative development by joining the R Consortium,” said Dinesh Nirmal, IBM. “The R Consortium is the leading open source community to advance the R language for data analysis and modeling, and we are very eager to collaborate with the R user community.
IBM Data Science Experience
Big Blue announced the Data Science Experience project in early June —it is an interactive, collaborative, cloud-based environment where data scientists can use multiple tools to activate their insights. According to the project description, data scientists can use the best of open source, tap into IBM’s unique features, grow their capabilities, and share their successes. IBM Data Science Experience is powered by Apache Spark.