Tag Archives: IBM SPSS Modeler

Predictions for 2019

It’s that time of year again. Time to drive stakes in the ground about the year ahead. Looking Back First, a brief look back to see if last year’s predictions aged well. You can read them here. Recap below. My predictions come with a lifetime guarantee: if you are not completely satisfied with them, I will return to you, in cash, the

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IBM Adds Spark Support to Analytics Server

With its customary PR blitz, IBM announces that it has added Spark integration to several products, including SPSS.   IBM gets a small pat on the head for adding Spark support to its Analytics Server software, under the premise that something is better than nothing. There is a very narrow pool of SPSS users who will benefit from this enhancement.  Spark integration is

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Software for High Performance Advanced Analytics

Strata+Hadoop World week is a good opportunity to update the list of platforms for high-performance advanced analytics.  Vendors are hustling this week to announce their latest enhancements; I’ll post updates as needed. First some definition.  The scope of this analysis includes software with the following properties: Support for supervised and unsupervised machine learning Support for distributed processing Open platform or multi-vendor

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Automated Predictive Modeling

A colleague asks: can we automate predictive modeling? How we answer the question depends on the context.   Consider the two variations on the question below, with more precise wording: Can we completely eliminate the need for expertise in predictive modeling — so that an “ordinary business user” can do it? Can we make expert analysts more productive by automating

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