Gartner recently published its 2019 Magic Quadrant for Data Science and Machine Learning Platforms. You can secure a copy of the report from Gartner if you are a client, or read it for free here, courtesy of DataRobot. (Registration required.) Here’s how Gartner positioned the 17 vendors that made it into the MQ: Back in October, I wrote my predictions for
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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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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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Amazon Web Services announces enhancements to Amazon SageMaker, plus a slew of new AI/ML services. Enhancements to SageMaker include: Amazon SageMaker Ground Truth, a service that helps customers build training datasets for machine learning. Support for reinforcement learning Amazon SageMaker Neo, a capability that enables developers to train machine learning models once and run them on many different hardware
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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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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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Cloudera and Hortonworks just announced a merger. You ask: how does the merger affect the machine learning marketplace? My answer: not at all. Neither Cloudera nor Hortonworks competes in machine learning. Yes, I’m aware. Cloudera and Hortonworks see themselves as part of the machine learning value chain. You can’t do machine learning without data. You need a few other things, too. But
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