R help - Jan 2009 - U R ready for R! Now deploy your R models via cloud computing!

Following the recent NYT article about R, I thought this group is not
only ready for R but ready to take it one step further.

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

Zementis ( http://www.zementis.com ) 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 (
http://adapasupport.zementis.com/2008/02/how-can-i-export-pmml-code-from-r.html
).

If you develop your models in R, you can easily deploy and execute
these models in the Zementis ADAPA scoring engine (
http://www.zementis.com/products.htm
) 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.

Hi Michael,
Can you also build the PMML model on the cloud with R, paying for the
processor ,memory usage. Any plans to extend the abilty to model, or is it
just deploy PMML models on the cloud servers.

Regards,

Ajay

http://www.decisionstats.com

On Thu, Jan 22, 2009 at 4:29 AM, MZ <zeller.michael@gmail.com> wrote:
> Following the recent NYT article about R, I thought this group is not
> only ready for R but ready to take it one step further.
>
> Got models in R? Deploy and score them in ADAPA in minutes on the
> Amazon EC2 cloud computing infrastructure!
>
> Zementis ( http://www.zementis.com ) 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 (
>
>
http://adapasupport.zementis.com/2008/02/how-can-i-export-pmml-code-from-r.html
> ).
>
> If you develop your models in R, you can easily deploy and execute
> these models in the Zementis ADAPA scoring engine (
> http://www.zementis.com/products.htm
> ) 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.
>
> ______________________________________________
> R-help@r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>
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