"Automated machine learning improves the productivity of data scientists by handling much of the repetitive tasks associated with model development," said Susan Kahler, Global Product Marketing Manager for AI at SAS. "This frees up data scientists to focus on creating solutions to best address the problem at hand." SAS Visual Data Mining and Machine Learning, which runs on SAS Viya, supports the end-to-end data mining and machine learning process with a comprehensive visual and programming interface. SAS empowers analytics team members of all skill levels with a simple, powerful and automated way to handle all tasks in the analytics life cycle.

SAS Visual Data Mining and Machine Learning, which runs on the SAS Viya engine, includes the latest statistical, machine learning, deep learning and text analysis algorithms that accelerate structured and unstructured data explorations, while also supporting popular open source languages. SAS Enterprise Miner helps identify relationships and patterns buried in a company's data. It streamlines the data mining process to create accurate predictive and descriptive analytical models to find the best fit, no matter the size of the data set.

Analyst house Gartner, Inc. has officially released its 2018 Magic Quadrant for Data Science and Machine-Learning Platforms. In this report, Gartner adds machine learning as a major component of data science tools, adding that the topic warrants specific attention when evaluating the space. The re-naming of this Magic Quadrant speaks to the momentum machine learning currently exhibits in the data science marketplace. Data science and machine learning platforms are defined as a "cohesive software application that offers a mixture of basic building blocks essential both for creating many kinds of data science solution." Data science and machine learning platforms support data scientists in their efforts for data access, data preparation, data visualization, and a variety of predictive analytic functions.

BOSTON, Mass., February 26, 2018 -- RapidMiner, the company that delivers real data science, fast and simple, today announced that Gartner, Inc. has positioned RapidMiner in the Leaders quadrant of the 2018 Magic Quadrant for Data Science and Machine-Learning Platforms(1). According to Gartner, "Data science and machine-learning platforms enable organizations to take an end-to-end approach to building and deploying data science models." RapidMiner is a software platform for data science teams that unites data prep, machine learning, and predictive model deployment. Organizations can build machine learning models and put them into production faster than ever, using RapidMiner's lightning fast visual workflow designer and automated modeling capabilities. RapidMiner eliminates the complexities of cutting edge data science by making it easy to use the latest machine learning algorithms and technologies like Tensorflow, Hadoop, and Spark.