Tag Archives: Teradata Aster

2018 in AI/ML

Well, 2018 is dead and gone. Time to take a look back at the year in AI/ML. A reminder that I work for DataRobot. This is my personal blog. Opinions are mine. On the Move It’s hard to believe that Amazon Web Services introduced Amazon SageMaker just a year ago, but here we are. AWS moved aggressively to enhance the

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The Year in Machine Learning (Part Three)

This is the third installment in a four-part review of 2016 in machine learning and deep learning. In Part One, I covered Top Trends in the field, including concerns about bias, interpretability, deep learning’s explosive growth, the democratization of supercomputing, and the emergence of cloud machine learning platforms. In Part Two, I surveyed significant developments in Open Source machine learning projects, such as R, Python,

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Big Analytics Roundup (August 29, 2016)

TechCrunch reports results of a new study, which says that you really don’t need a co-founder after all. Next, they’ll be telling us we don’t need to floss. Python and R Matt Asay argues that Python is a gateway language that leads data scientists to R. (h/t Oliver Vagner). That’s oversimplified and mostly incorrect. The breadth of R’s analytics functionality tends

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Teradata Lays Another Egg

Teradata reports Q3 revenue of $606 million, down 3% in “constant” dollars, down 9% in actual dollars, the kind you can spend.  Product revenue, from selling software and boxes, declined 14%. In a brutal call with analysts, CEO Mike Koehler noted: “revenue was not what we expected.”  It could have been a recorded message. Teradata executives tried to blame the

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Big Analytics Roundup (October 26, 2015)

Fourteen stories this week, beginning with an announcement from IBM.  This week, IBM celebrates 14 straight quarters of declining revenue at its IBM Insight conference, appropriately enough at the Mandalay Bay in Vegas, where the restaurants are overhyped and overpriced. Meanwhile, the first Spark Summit Europe meets in Amsterdam, in the far more interesting setting of the Beurs van Berlage.  There

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Big Analytics Roundup (April 20, 2015)

Top news this week: a couple of Spark maintenance releases, some interesting new Apache projects, an announcement from Hortonworks and some interesting content from Databricks and Teradata. Also in the news this week, North Bridge and Black Duck Software release their ninth annual Future of Open Source survey.  Meanwhile, Hortonworks, IBM and Pivotal announce ODP harmonization, round up endorsements from

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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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