Thursday Mar 20, 2014
Wednesday May 30, 2012
A conversation with world experts in Customer Experience Management in Rome, Italy - Wed, June 20, 2012
By nicolasbonnet on May 30, 2012
It is my pleasure to share the registration link below for your chance to meet active members of the Oracle Real-Time Decisions Customer Advisory Board.
Join us to hear how leading brands across the world have achieved tremendous return on investment through their Oracle Real-Time Decisions deployments and do not miss this unique opportunity to ask them specific questions directly during our customer roundtable.
Please share this information with anyone interested in real-time decision management and cross-channel predictive process optimization: http://www.oracle.com/goto/RealTimeDecisions
Friday Mar 02, 2012
By nicolasbonnet on Mar 02, 2012
It is our pleasure to let you know that Oracle just released a new version of the RTD platform addressing some important scalability requirements for high end deployments.
The driver for this new version, released as a patch on top of the RTD 18.104.22.168 platform was the need to address increasing volumes of “learnings” generated by ever-increasing volumes of “decisions”. This stems from the fact several of our high-end customers now have production environments with multiple cross-channel Inline Services supporting multiple “decisions” which make use of multiple predictive models using hundreds of data attributes to select from potentially thousands of “choices”. Addressing those high-end business requirements required increased RTD Learning Server capacity than was provided by RTD 22.214.171.124.
To address those needs, Oracle re-architected its RTD Learning Server engine to enable some level of parallelization. This new architecture relies on multi-threaded models updating and asynchronous learning records reading/deletions operations. This change provides a 150% improvement in learning record processing rates, which enables RTD to now process more than 58M incremental learning records per day with a deployment configuration consisting of 3 concurrently active inline services each with 900 choices, 200 data attributes, and 4 choice event predictive/learning models. This was achieved on a machine with 4 core / 6GB RAM allocated to the RTD learning server.
This new version of RTD is an important release for companies setting-up Big Data Analysis & Decision platforms in support of real-time and batch targeted customer experience enterprise deployments.
For complete details on this patch please refer to http://www.oracle.com/technetwork/middleware/real-time-decisions/psu11-1532856.html
Issues related to Oracle Real-Time Decisions (RTD). Entries include implementation tips, technology descriptions and items of general interest to the RTD community.
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- A conversation with world experts in Customer Experience Management in Rome, Italy - Wed, June 20, 2012
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