neural net

Little bit of  a late start for me so I am starting with Geoffrey De Smet from Red Hat talking about constraint planning. He points out that some decisions cannot be easily solved with rules-based approaches – they can be described as decision (and as a DMN decision model in our experience) but not readily [...]

SAS® Enterprise Miner recently got a major release – 13.1 – focused on machine learning, scalability and productivity. It’s been a while since I blogged about SAS Enterprise Miner (last review here) so this might not be a complete list of the improvements since then. The machine learning focus added High Performance Support Vector Machines [...]

I last looked at Scorto back in 2010 (see this First Look). The firm continues to be focused on Decision Management and risk management solutions and now has 7 offices around the world focused on insurance and banking customers. In particular Scorto focuses on debt collection, customer acquisition, loan origination and risk management. The products [...]

SAP has recently announcement some new predictive analytic offerings. At the core are in-database predictive analytics and R integration based on SAP HANA and a new predictive modeling tool, SAP Predictive Analysis. The latter is aimed to close the gap between “pure” data miners/modelers and the business analysts that might typically use tools like SAP [...]

I have previously written about Angoss and its products (most recently this post on their 7.5 release) and recently got an update. As a company Angoss is focused on delivering data mining and predictive analytics to improve performance in sales, marketing and risk. They have a set of products for desktop, client/server and cloud-based and [...]

KDNuggets had an interesting poll this week in which readers expressed themselves as Skeptical of Machine Learning replacing Domain Expertise. This struck me not because I disagree but because I think it is in some ways the wrong question: Any given decision is made based on a combination of information, know-how and pre-cursor decisions. The know-how [...]

I got my first look at JMP recently. JMP originally stood for “John’s Macintosh Project” apparently but is now a major business unit of SAS that has operated independently since 1989. It has about 180 employees and 250,000 users worldwide. The product has long since supported both Windows and Mac platforms and is a full [...]

Modern Analytics was founded in 2001 by a team that originally met building analytical capabilities for a major European bank. They wanted to see if they could make it easier to deliver the kind of analytic infrastructure they had developed for the bank. Since then, they have worked in many industries and have developed this [...]

I got an update from Angoss recently. It has been a while since I was updated on the product – I last blogged about 7.0 which was the last major release. 7.5 is an upgrade from this version –a maintenance release – with 7.6 planned for the end of 2011 and 8.0 due out around [...]

A reader of my company’s newsletter recently emailed me and asked me if I could highlight the difference in how one approaches building a predictive model when compared to more “traditional” descriptive models. And why the approaches are different. He went on to say that he had a colleague who insists that developing aggregate statistical [...]

Syndicated from Smart Data Collective One of my favorite presenters, John Elder, presented his top 10 analytic mistakes at Teradata Partners. Lack Data is problem zero – obviously you need data to do data mining and analytics. Without data that is relevant to the problem you cannot use analytics to solve it. In particular it [...]

in2clouds is focused on helping companies use Predictive Analytics to improve their business performance. Founded by MicroStrategy alumni and launched in 2009, in2clouds is a small company that has been working in hi-tech, financial services and retail. Seeing analytics as “the next big thing” they want to reduce the friction for mainstream adoption and help [...]

Syndicated from ebizQ I saw yet another article about the claims being paid by the BP Fund this weekend – BP fund czar promises bigger, faster claims – and it struck me that every time there is a disaster we go through this. Something happens, lots of people need to make claims, some process gets [...]

I caught up with DataInfoCom recently – a research-oriented software company headquartered in Austin, Texas. Their focus is on what they call Predictive Decision Management. Their software product, OSMOSYS, delivers predictive decisioning over the Internet – Decisions as a Service or DaaS as I call it. Their customers include a couple of well known, Fortune [...]

Eric Charpentier had a nice introduction to scorecards overs on his blog. He does a nice job of describing an additive scorecard, that is a scorecard designed to represent a predictive analytic algorithm (not to be confused with a dashboard-like scorecard). He does not talk much about reason codes – the ability of a scorecard [...]

I got an update on Oracle Data Mining – the in-database solution for data mining and predictive analytics offered by Oracle – recently. They have made ODM available on the amazon compute cloud so you can easily try it and they have been doing some interesting work on a new GUI and on integration with [...]

Insurance claims fraud is a huge deal, with most estimates seeing perhaps 10% of claims made being fraudulent – worth at least $30Bn/year. As a result the value of small improvement is huge. Of course, from my perspective, fraud is one of the classic uses of decision management and predictive analytics. Obviously the current economic [...]

I caught up with a new (to me at least) decisioning platform recently. Scorto works with credit organizations to manage credit risks and make objective decisions when selling mass credit products. They offer what they refer to as decision support (but I would call blended decision management and decision support) in everything from personal/small commercial [...]

The folks from SAS gave me a quick update the other day on SAS Enterprise Miner and SAS Model Manager, two of SAS’ data mining/predictive analytics products. I often blog about SAS, as you would expect, but I have not done any product posts. SAS’ Business Analytics Framework is focused on helping organizations find the [...]