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(This message was added in version 6.7.0.) in /usr/home/ursamajor/public_html/amalgaminsights.com/wp-includes/functions.php on line 6114On a monthly basis, I will be rounding up key news associated with the Data Science Platforms space for Amalgam Insights. Companies covered will include: Alteryx<\/a>, Amazon<\/a>, Anaconda<\/a>, Cambridge Semantics<\/a>, Cloudera<\/a>, Databricks<\/a>, Dataiku<\/a>, DataRobot<\/a>, Datawatch<\/a>, Domino<\/a>, Elastic<\/a>, Google<\/a>, H2O.ai<\/a>, IBM<\/a>, Immuta<\/a>, Informatica<\/a>, KNIME<\/a>, MathWorks<\/a>, Microsoft<\/a>, Oracle<\/a>, Paxata<\/a>, RapidMiner<\/a>, SAP<\/a>, SAS<\/a>, Tableau<\/a>, Talend<\/a>, Teradata<\/a>, TIBCO<\/a>, Trifacta<\/a>, TROVE<\/a>.<\/p>\n Alteryx acquired ClearStory Data, an analytics solution for complex and unstructured data with a focus on automating Big Data profiling, discovery, and data modeling. This acquisition reflects Alteryx’s interest in expanding its native capabilities to include more in-house data visualization tools. ClearStory Data provides a visual focus on data prep, blending, and dashboarding with their Interactive Storyboards that partners with Alteryx’s ongoing augmentation of internal visualization capabilities throughout the workflow such as Visualytics.<\/p>\n Dataiku released two new versions of its machine learning platform, Dataiku Free and Dataiku Lite, targeted towards small and medium businesses. Dataiku Free will allow teams of up to three users to work together simultaneously; it is available both on-prem and on AWS and Azure. Dataiku Lite will provide support for Hadoop and job scheduling beyond the capabilities of Dataiku Free. Since Dataiku already partners with over 1000 small and medium businesses, creating versions of its existing platform more financially accessible to such organizations lowers a significant barrier to entry, and grooms smaller companies to grow their nascent data science practices within the Dataiku family.<\/p>\n DataRobot announced that as of mid-April, its customers had built one billion models on its automatic machine learning program. Vice President of Product Management Phil Gurbacki noted that DataRobot customers build more than 2.5 million models per day. Given that the majority of models created are never successfully deployed – a common theme cited this month at both Enterprise Data World<\/a> and at last week’s Open Data Science Conference – it seems likely that DataRobot customers don’t currently have one billion models operationalized. If the percentage of deployed models is significantly higher than the norm, though, this would certainly boost DataRobot in potential customers’ eyes, and serve to further legitimize AutoML software solutions as plausible options.<\/p>\n Microsoft announced a new partnership with OpenClassrooms to train students for the AI job marketplace via online coursework and projects. Given an estimate that projects 30% of AI and data jobs will go unfilled by 2022, OpenClassrooms\u2019 recruiting 1000 promising candidates seems like just the beginning of a much-needed effort to address the skills gap.<\/p>\nAlteryx Acquires ClearStory Data to Accelerate Innovation in Data Science and Analytics<\/a><\/h2>\n
Dataiku Announces the Release of Dataiku Lite Edition<\/a><\/h2>\n
DataRobot Celebrates One Billion Models Built on Its Cloud Platform<\/a><\/h2>\n
Microsoft, SAS, TIBCO Continue Investments in AI and Data Skills Training<\/h2>\n
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