19th
May
2009
Syndicated from ebizQ
Today is the official release day for the new release of JBoss Enterprise BRMS – Drools 5.0 as was. Key features in this release are the repository/repository management tools and the new features that let business users and business analysts participate directly in editing the rules. Craig Muzilla, the VP Middleware Business Unit [...]
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posted by James Taylor in Business Rules, Product News |
13th
May
2009
Syndicated from ebizQ
With Drools 5, JBoss and the open source community have delivered a true business rules management system for the first time. Using Drools, organizations can take control of the logic that drives their operational decisions using an open source platform. Some time ago I wrote a little forward for Paul Browne and now [...]
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posted by James Taylor in Business Rules |
8th
April
2009
I got a second look at VNI’s product this week – I took a first look last year. VNI has been continuing to OEM its products to folks from around the world. Their customers are in many different areas like Investor Analytics (SaaS for financial risk management optimization), Moore Nanotechnology Systems machinery and RiskMetrics Group [...]
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posted by James Taylor in Analytics, Data Mining, Optimization, Product News |
7th
April
2009
I got a chance to chat with the folks from KNIME recently to discuss their workbench. KNIME is essentially a workbench to define the pipeline of operations you want throw at your data, typically as part of doing analytic work. It allows you to do complex things to the data and document your process – [...]
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posted by James Taylor in Analytics, Data Mining, Product News |
6th
March
2009
Some weeks back I got a review on Tavant, a 700 person IT services and solutions company with a focus in financial services (mortgage, trading and security), ebusiness and Service Operations such as warranty management. I was interested in their warranty product as part of my research into the warranty claims space. The product – [...]
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posted by James Taylor in Business Rules, Data Mining, Product News |
4th
March
2009
Syndicated from BeyeNetwork
I recently had the chance to talk with Karl Rexer, President of Rexer Analytics, about their recently launched Data Miner Survey. This is the 3rd year they have run it and I blogged about the results from last year’s back in October.
JAMES: This is your third year conducting this survey, what new [...]
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posted by James Taylor in Analytics, Data Mining |
3rd
March
2009
I got a second chance to chat with the folks at Truviso recently. Truviso was founded after a Professor and his PhD student, at Berkeley went back to the fundamentals of data management and predicated that in a world of highly interconnected objects it would be necessary to eliminate the batch-centric database process of “store [...]
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posted by James Taylor in BI, Product News |
27th
February
2009
Syndicated from ebizQ
Concluding my response to – Programming Sucks! Or At Least, It Ought To it’s time to answer the specific comments I got. First, the reasonable ones:
Ken said:
It depends on the business requirement. If business rules need to be changed on the fly then a rules engine framework makes the most sense. If, as [...]
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posted by James Taylor in Business Rules |
24th
February
2009
Syndicated from b-eye network
Last week I was at Predictive Analytics World, a brand new show on the business value of predictive analytics. The show was a great success, I think, as it attracted a decent audience in very tough times and succeeded in bringing together not just those building predictive analytic models, but also those [...]
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posted by James Taylor in Analytics, Data Mining, Decision Management |
19th
February
2009
Syndicated from Smart Data Collective
Natasha Balac from UC San Diego and Michael Zeller from Zementis (their product was blogged here and their support for the amazon.com compute cloud was discussed here) presented on the use of Medicare and Medicaid data to detect and prevent fraud. The high computing center at UC San Diego (San Diego [...]
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posted by James Taylor in Analytics, Data Mining, Decision Management |