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I have known Tom for many years and enjoyed his books. He recently sent me a copy of his latest one – The AI Advantage: How to Put the Artificial Intelligence Revolution to Work (Management on the Cutting Edge). Tom does his usual excellent job of introducing a technical topic – AI and machine learning [...]

The Hurwitz Group just published their Victory Index for Predictive Analytics. This is a great report on the core predictive analytic vendors written by Marcia Kaufman and Daniel Kirsch. The report covers Angoss, IBM, Megaputer, Pegasystems, Predixion, RapidMiner, Revolution Analytics, SAS, SAP, StatSoft. The report aims to assess four things about each vendor: Vision – how good the company’s strategy [...]

Paul Ross kicked off the Alteryx Influencer Summit by reiterating Alteryx’s focus on their core audience – analysts in the line of business. Alteryx wants to empower these analysts and is investing in its tools and strategy with this in mind. First up was George Matthew talking about market and product strategy (mostly under NDA). [...]

Brad Strock of PayPal presented on innovation. He laid out the three stages of money: Money 1.0 is what you might call traditional coinage and notes. Money 2.0 was the credit revolution with revolving debt, credit and debit cards etc. These have become the pre-eminent means of payment for many people. Money 3.0 is what PayPal [...]

To wrap up the series I have been writing on standards in predictive analytics, here’s the report I have been working on. This report discusses each of the topics in the series – R, Hadoop and PMML – in more detail and pulls it all together in a single paper. You can get the Standards in Predictive [...]

In this series so far we have discussed a number of standards – R, PMML and Hadoop – that are well established. There are also some future developments that are worth considering—the emergence of the Decision Model and Notation standard, growing acceptance of Hadoop 2 and planned updates to PMML specifically. As regular readers of [...]

I am working on a paper, for publication in early 2014, on the role of standards such as R, Hadoop and PMML in the mainstreaming of predictive analytics.  As I do so I will be publishing a few blog posts. I thought I would start with a quick introduction to the topic now and then [...]

First Look: Revolution Analytics 7

In the 9 months or so since I last wrote about Revolution Analytics they have released a new version of Revolution R Enterprise 7. This is focused on delivering “Write once deploy anywhere.” R, of course, continues to expand in popularity with the recent Rexer Data Mining survey (reviewed here) putting the percentage of data [...]

Since I last wrote about Revolution Analytics (back when they announced their Netezza relationship) they have added some new management and are growing fast. In particular they see lots of big data experimentation evolving into actual projects. To recap, Revolution Analytics is a commercial analytics company based on the open source R statistics language. The [...]

KNIME is an open source data analytics product based in Zurich, Switzerland that I last wrote about a couple of years ago. They have been working away on the product since then (having started development in 2004 and released their enterprise components in 2010) and have been refining their business plan at the same time. [...]

I am giving a webinar on Thursday March 14, 2012 10 am Pacific with Revolution Analytics on “Models Collecting Dust? How to Transform Your Results from Interesting to Impactful” Data scientists sometimes lament, “Why can’t I get anyone to use my predictions?” Great models that make accurate predictions are sometimes disconnected from organizational decision-making. This [...]