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After yesterday's pre-conference day on DMN, the main program started today. All the slide decks are all available on the DecisionCAMP site. Edson Tirelli started things off with a session to demystify the DMN specification. DMN does not invent anything, he says, but takes some of these concepts and defines a common language to express [...]

Predictive analytics is a powerful tool for managing risk, reducing fraud and maximizing customer value. Those already succeeding with predictive analytics are looking for ways to scale and speed up their programs and make predictive analytics pervasive. But they know there is often a huge gap between having analytic insight and deriving business value from it - predictive [...]

I am giving a webinar on Predictive Analytics Deployment to Mainframe or Hadoop with Mike Zeller of Zementis on Thursday, March 3, 2016 11:00:00 AM PST The big challenge for analytics-driven organizations today is closing the gap between deriving an analytic result and getting the ROI. Organizations need a consistent and efficient way to deploy analytic results [...]

Jacob Feldman of OpenRules and I presented on Good Old UServ Product Derby in the Brave New World of Decision Management at the Building Business Capability Conference. We began by introducing DMN a little (check out this white paper for more details on decision modeling with DMN). He and I see a lot of interest in DMN [...]

InRule Update 2015

I last got an update on InRule back in 2014 when I was updated on 4.6. Catching up with them recently I got a company and product update. They continue to focus on healthcare (insurance and delivery), insurance, banking and government. Some of their new customers are using InRule with Microsoft Dynamics CRM as part [...]

A long time ago I came across a company called Erudine and blogged about the Erudine Behaviour Engine. At that time, Erudine came out of the defence, aerospace and nuclear power industries where the slightest mistake can lead to disaster. Today, Erudine’s more recent focus has been in the banking, financial services and investment sectors. [...]

Continuing my series on standards in Predictive Analytics I am going to talk first about PMML. PMML is an XML standard for the interchange of predictive analytic models developed by the Data Mining Group. The basic structure is an XML format document that contains a header, a data dictionary, data transformations and one or more models each [...]

JSON support in Teradata

In the second quarter of 2014 Teradata will add support for JSON (JavaScript Object Notation) -  "fat free" XML focused on name value pairs - in its data warehouse. The key focus of this addition is on the Internet of Things because many of these produce data in JSON formats. For instance telematics, geospatial, manufacturing [...]

Tim Vincent, CTO of Information Management, came next to talk about DB2 with BLU Acceleration. He began by identifying several different kinds of workloads and scenarios that the new solution is designed to address and pointed out the context for this is rapidly changing hardware capabilities and pricing. Memory prices are falling,bandwidth inside machines is increasing, [...]

First Look – Web Rule 2.0

I have blogged about code effects’ Web Rule product before. This rule editor and execution environment supports both execution rules (that have an action to take) and evaluation rules (that just return true/false) as well as an IntelliSense/type ahead editor based on an XML object model. Rules in this product are closer to a ruleset [...]

First Look – Web.rule.control

I got a quick update on an interesting startup company – CodeEffects.com – with a very lightweight web widget for business rules. This web business rules widget is the outgrowth of some work the company has been doing with clients who are users of business rules management systems. These clients wanted a lightweight rule editor [...]

Christian de Sainte Marie from the ILOG group at IBM presented to the OMG Decision Model Notation day on the role of decisions in the ILOG Business Rules Management System. Christian started by describing a BRMS (see my brief on what is a BRMS) and the ILOG BRMS in particular. He drilled down a little [...]

Lyzasoft Update

Some weeks back I got an update from Lyzasoft but I have not been able to post it until now. I first wrote about Lyzasoft back in 2009 and since then the company has been busy. The company’s vision remains the same – to create a way for end users to work with BI that [...]

Stephen Brobst, Teradata's CTO, took open Q&A. What's the business and architectural impact of the temporal (and spatial) extensions in 13.10? Most Teradata customers are doing temporal things but implementing manually today using things like effective date columns. This is hard work and the new feature makes it easier to manage, more accessible to customers [...]

Wolf Frameworks is a USA/India PaaS company started in 2006 as a pure play cloud computing platform. They have a front end (AJAX) using XML to communicate to a .NET backend on C#. They have about 3,000 plus people designing software using the platform and have about 13 plus solution providers covering 7 countries. They [...]

First Look – Angoss 7

Angoss has just released a new version of their data mining and predictive analytics software, version 7.0. Key themes for 7 were: Optimization Mining enhancements like data weighting, in-database analytics, new statistics Support for more complex IT environments Usability Angoss has long supported the development of strategies or decision trees - models that define the [...]

First Look – Lyza

I got a chance to see Lyzasoft's new product in action recently. Lyzasoft aims to provide a desktop product for business people to do analysis that can seamlessly scale up, unlike (say) spreadsheet based analysis. The product is based around a column store. Workbooks are the core metaphor and these are used to assemble flows. [...]

I got an update from the folks at IDIOM recently. The founders say they got started with data modeling in the early 80s and realized this could not deliver model-driven development because the whole process thing did not work. By the 90s they had found an approach that worked as a model-driven approach but the [...]

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 [...]

Risk Management at Sun

Risk management is necessary at Sun as new products are constantly being introduced. Each time there are challenges getting information out to people. Also find the same problem repeatedly in different geographies and were challenged to share information about problems and solutions between teams. By 2001 they found over 300 user developed applications supporting risk [...]