Statistical Analysis Software R Featured in NYT Article

We highly recommend the following article about R in the New York Times: Data Analysts Captured by R’s Power.

It shows how excellent open source software can prosper!

NYT, January 6, 2009. Companies as diverse as Google, Pfizer, Merck, Bank of America, the InterContinental Hotels Group and Shell use it.
[…] those most familiar with the software estimate that close to 250,000 people work with it regularly.

Zementis has been working with the R community, specifically to extend the support for the Predictive Model Markup Language (PMML) standard which allows model exchange among various statistical software tools.

Got models in R? Deploy and score them in ADAPA in minutes on the Amazon EC2 cloud computing infrastructure!

If you develop your models in R, you can easily deploy and execute these models in the Zementis ADAPA scoring engine (using the PMML standard). This not only eliminates potential memory constraints in R but also speeds execution and allows SOA-based integration. For the IT department, ADAPA delivers reliability and scalability needed for production-ready deployment and real-time predictive analytics.

Contact us for a free trial!

We highly recommend the following article about R in the New York Times: Data Analysts Captured by R’s Power.

It shows how excellent open source software can prosper!

NYT, January 6, 2009. Companies as diverse as Google, Pfizer, Merck, Bank of America, the InterContinental Hotels Group and Shell use it.
[…] those most familiar with the software estimate that close to 250,000 people work with it regularly.

Zementis has been working with the R community, specifically to extend the support for the Predictive Model Markup Language (PMML) standard which allows model exchange among various statistical software tools.

Got models in R? Deploy and score them in ADAPA in minutes on the Amazon EC2 cloud computing infrastructure!

If you develop your models in R, you can easily deploy and execute these models in the Zementis ADAPA scoring engine (using the PMML standard). This not only eliminates potential memory constraints in R but also speeds execution and allows SOA-based integration. For the IT department, ADAPA delivers reliability and scalability needed for production-ready deployment and real-time predictive analytics.

Contact us for a free trial!

Comprehensive blog featuring topics related to predictive analytics with an emphasis on open standards, Predictive Model Markup Language (PMML), cloud computing, as well as the deployment and integration of predictive models in any business process.

Link to original post