Major IT Players Form R Consortium to Strengthen Data Analysis

r consortium 300x199 Major IT Players Form R Consortium to Strengthen Data AnalysisThe Linux Foundation announced the formation of R Consortium, with the intention of strengthening technical and user communities around the R language, the open source programming language for statistical data analysis.

The new organization R Consortium became an official project of Linux Foundation and is designed to strengthen R language users.  It is expected that R Consortium will complement the existing fund, and will focus on expanding the user base of R, as well as focus on improving the interaction of users and developers.

The Representatives of the R Foundation and industry representatives are behind the new consortium. Microsoft and RStudio have joined the consortium as platinum members. TIBCO Software is a gold member and Alteryx, Google, HP, Mango Solutions, Ketchum Trading and Oracle have joined as silver members.

R Consortium will complement the work of R Foundation, establishing communication with user groups and engaging in supporting projects – related to the creation and maintenance of R mirror sites, testing, resources for quality control, the financial support and promotion of the language. Also, the consortium will assist in creating support packages for R and organizing other related software projects.

R is a programming language and development environment for scientific calculations and graphics that originated at the University of Auckland (New Zealand). The R language has enjoyed significant growth and now supports more than two million users. A wide grass industries adopted the R language, including biotech, finance, research and high-tech industries. The R language is integrated with frequency analysis, visualization, and reporting applications.

Having acquired the company Revolution Analytics (which makes strong use of language), Microsoft announced that it is joining the consortium together with other founding members such as Google, Oracle, HP, Tibcom, Rstudio, Alteryx to finance the new consortium.

Microsoft’s official said that “the R Consortium will complement the work of the R Foundation, a nonprofit organization that maintains the language, and will focus on user outreach and other projects designed to assist the R user and developer communities. This includes both technical and infrastructure projects such as building and maintaining mirrors for downloading R, testing, QA resources, financial support for the annual useR! Conference and promotion and support of worldwide user groups.”

Google also says they have thousands of users and their own developers using R, so this language is crucial for many of their products. Google is happy to join the rest of companies to continue to maintain the infrastructure of the open source R.

Microsoft’s support of real-time analytics for Apache Hadoop in Azure HDInsight and machine learning in Azure Marketplace use R language to service anomaly detection for preventive maintenance or detection of fraud.


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IBM Watson Ecosystem Strengthen the Hybrid Cloud Capabilities

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IBM hybrid cloud 300x199 IBM Watson Ecosystem Strengthen The Hybrid Cloud CapabilitiesIBM has introduced new hybrid cloud capabilities for Watson to help companies to connect their data with web applications in the cloud. Watson Hybrid Cloud solution will use Watson Explorer as the default platform for application development, combining enterprise data sources in the application through a scalable environment that keep local and private data secure.

With the new hybrid cloud capabilities, users can more quickly extract business intelligence from data housed in multiple environments – traditional or cloud. In addition, IBM has announced the addition of 270 new partners to the ecosystem of Watson, as well as new specialized cognitive apps in different sectors such as entertainment, energy, health and tourism in order to save time, risk, and ensure regulatory compliance.

Cognitive application developers often face the challenge of where to locate the data and can not move them all to a public cloud for different reasons, either because of their huge amount, or by privacy requirements, regulations or security. Using the IBM hybrid cloud capabilities, users can quickly extract business intelligence data hosted securely in multiple environments.

The platform allows companies to develop applications in seconds and with minimal configuration. Watson Hybrid Cloud solution will use Watson Explorer as the default platform for application development, combining enterprise data sources in the application through a scalable environment that keep local and private data securely.

IBM Watson Analytics automates some steps of the analysis, such as data preparation, predictive analysis and visualization in an understandable way for different departments within a company, such as marketing, sales, operations, finance and human resources.

IBM has also renewed its portfolio with new products that allow companies to integrate hybrid cloud solutions in their organization, and meet new workloads generated by the rise of mobile, social and analytical technologies. The new IBM Power Systems, IBM Spectrum Storage, IBM Systems z, IBM Middleware, IBM SoftLayer and OpenStack software, promise to help customers easier navigation between these environments and more valuable for the development of business information.

Last month, IBM launched a new division called IBM Watson Health allowing patients, physicians, researchers and insurance sectors to deal effectively with health data. The unit offers a secure platform for open cloud for doctors, researchers, insurance companies and solution-oriented health and wellness, allowing anonymity to share and combine data concerning health companies.

MarketsandMarkets, the consulting and market research firm, has estimated that the growth of hybrid cloud will reach about $ 84.67 billion in 2019. The results of this study show the increasing adoption of the hybrid cloud computing model.

The main features of the hybrid cloud computing model are the standards and shared services, packaged solutions, self-service, scalable, price based on use, accessible via the Internet, standard UI technologies and publishing services and API, which result in a more efficient use of IT assets , greater agility to launch new services and greater cost efficiency.

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