Tag Archives: Alpine

Forrester’s 2018 PAML “Waves”

Forrester just published two “Wave” reports for predictive analytics and machine learning. The first, covering “multi-modal” solutions, is available here for free. A second report, covering notebook-based solutions, is available here (registration required.) Forrester plans to publish a third report, covering automated machine learning vendors, in 2019. Kudos to Forrester for understanding the diversity of the data science tools market.

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Machine Learning Roundup: 10/6/2016

Machine learning (ML) and deep learning (DL) content from the past 24 hours, plus a few older items. Good Reads Gale Morrison’s survey of neural computing in Semiconductor Engineering is an absolute must read. She summarizes intellectual and technical developments in the field, market drivers and briefly discusses what works. Companies mentioned: Amazon, Baidu, Google, Huawei, Intel, Nervana, NVIDIA, and

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Big Analytics Roundup (September 26, 2016)

Note to readers: Recently, I’ve noticed that news about events that occur on Tuesdays seems stale by the time I publish on Monday. Beginning this week, I’m shifting to a new publication model, posting analysis of events as they happen instead of a weekly roundup. You could say I’m switching from batch updates to real-time updates, which should please Nathan Marz.

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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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Big Analytics Roundup (April 6, 2015)

Late posting today due to holiday travel. In the week following Spark Summit East, a number of Spark skeptics surfaced, a sign that people take Spark seriously. The top item of the week, though, is Tiernan Ray’s interview with Michael Stonebraker in Barrons, a must-read. Analytic Software Forrester published its latest “wave” for Big Data Predictive Analytics Solutions, an inaptly

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Gartner Advanced Analytics Magic Quadrant 2015

Gartner’s latest Magic Quadrant for Advanced Analytics is out; for reference, the 2014 report is here; analysis from Doug Henschen here.  Key changes from last year: Revolution Analytics moves from Visionary to Niche Alpine and Microsoft move from Niche to Visionary Oracle, Actuate and Megaputer drop out of the analysis Gartner changed its evaluation criteria this year to reflect only “native”

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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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Distributed Analytics: A Primer

Can we leverage distributed computing for machine learning and predictive analytics? The question keeps surfacing in different contexts, so I thought I’d take a few minutes to write an overview of the topic. The question is important for four reasons: Source data for analytics frequently resides in distributed data platforms, such as MPP appliances or Hadoop; In many cases, the

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