“most companies also need to couple low-latency insight with automated response”.

This is where the real-time execution of predictive analytics as part of any operational system will provide the greatest value. With data mining standards maturing and cloud computing / SaaS options emerging, we need a new breed of solutions which embrace predictive decision models as core asset of a broader enterprise decision management strategy.

For a perspective, please see the recent panel discussion on open standards and cloud computing at the leading data mining conference KDD 2009.
http://adapasupport.zementis.com/2009/07/kdd-2009-panel-report-open-standards.html

We at Zementis ( http://www.zementis.com ) have combined a fully standards-based, real-time decision engine with SaaS on the Amazon EC2 cloud to deliver operational predictive analytics without the complexity or high cost typically associated with such projects.

Real-time Predictive Analytics + In-memory Analysis

Now how about combining real-time predictive analytics processing with in-memory analysis? For that, we were selected by SAP as a winner in the SAP BusinessObjects Explorer contest, linking our ADAPA real-time predictive analytics scoring engine on the Amazon EC2 cloud to the BusinesObjects Explorer running on the SAP cloud.

http://adapasupport.zementis.com/2009/05/sap-selects-zementis-as-winner-in-sap.html

To summarize the next step for BI with a quote from Goethe:
“It is not enough to have knowledge, one must also apply it.”