Tag Archives: IBM

ML/AI Vendor Roundup October 2018

Hello, everyone! It’s time for another roundup of machine learning and AI news. Product enhancement, customer reference, partnership, acquisition, or other significant contributions. No hype! Vendors listed below in alphabetical order. Algorithmia Algorithmia publishes its first State of Enterprise Machine Learning report based on a survey of 500 data scientists. AWS Machine Learning AWS announces enhancements to SageMaker’s built-in image classifier.

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Predicting the 2019 MQ

The die is cast. Last month, Gartner selected 16 vendors to include in its 2019 Magic Quadrant for Data Science and Machine Learning. Now, as Gartner prepares to publish the report early next year, I think it will be fun to make some predictions about how each vendor will fare. Some ground rules. I’m not going to talk about DataRobot,

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ML/AI Vendor Roundup: September 2018

Product enhancements, customer references, partnerships, acquisitions, or other significant contributions to machine learning. In general industry news, Forrester releases 2018 “Wave” reports for data science and machine learning. Positive implications for SAS, IBM, RapidMiner, Oracle, and Domino Data Labs. Negative implications for Microsoft, Dataiku, Anaconda, and Google Cloud Platform. Full story here. Vendors listed below in alphabetical order. Dataiku Dataiku

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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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Notes on the Forrester “Wave”

Forrester recently published the Wave™ for Predictive Analytics And Machine Learning Solutions. You can purchase a copy from Forrester for $2,495, or get a free copy here. When Forrester last delivered this analysis in 2015, they called it the Wave™ for Big Data Predictive Analytics Solutions. So, I guess that Big Data is “out” and machine learning is “in.” The chart below shows the

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IBM Launches “IBM Machine Learning”

It’s only March, but already IBM leads the software industry in gasbaggery. Gartner’s most recent Magic Quadrant for Data Science Platforms includes this little gem: Customers are often confused by mismatches between (IBM’s) marketing messages and actual, purchasable products. That’s a polite way to say that IBM marketing messages have enough hot air to float a fleet of balloons over the Bernese

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