IBM is making machine learning technology available in the place where much of the world's enterprise data resides: the z System mainframe. Today Big Blue announced IBM Machine Learning, a cognitive platform for creating, training and deploying a high volume of analytic models in the private cloud. The platform draws on the core machine learning technology from its Watson Machine Learning service on its Bluemix public cloud offering. "Our mission is making data simple and accessible to clients," says Rob Thomas, general manager, IBM Analytics. "If you look at the data landscape today, over 90 percent of the data in the world today cannot be Googled. Most of that data resides behind corporate firewalls in private clouds."

IBM is making machine learning technology available in the place where much of the world's enterprise data resides: the z System mainframe. Big Blue announced IBM Machine Learning, a cognitive platform for creating, training and deploying a high volume of analytic models in the private cloud. The platform draws on the core machine learning technology from its Watson Machine Learning service on its Bluemix public cloud offering. "Our mission is making data simple and accessible to clients," says Rob Thomas, general manager, IBM Analytics. "If you look at the data landscape today, over 90 percent of the data in the world today cannot be Googled. Most of that data resides behind corporate firewalls in private clouds."

IBM (NYSE: IBM) today announced IBM Machine Learning, the first cognitive platform for continuously creating, training and deploying a high volume of analytic models in the private cloud at the source of vast corporate data stores. Even using the most advanced techniques, data scientists – in shortest supply among today's IT skills1 – might spend days or weeks developing, testing and retooling even a single analytic model one step at a time. IBM has extracted the core machine learning technology from IBM Watson and will initially make it available where much of the world's enterprise data resides: the z System mainframe, the operational core of global organizations where billions of daily transactions are processed by banks, retailers, insurers, transportation firms and governments. IBM Machine Learning also for the first time deploys Cognitive Automation for Data Scientists from IBM Research to assist data scientists in choosing the right algorithm for the data by scoring their data against the available algorithms and providing the best match for their needs. The service also considers various circumstances – such as what the algorithm is needed to do and how fast it needs to produce results. Clients are beginning to see the value in IBM Machine Learning for z/OS.

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IBM announced Feb. 15 that it's bringing some of Watson's artificial intelligence to the private cloud with a new cognitive computing platform called Machine Learning. IBM called Machine Learning the "first cognitive platform" to use analytical models to help companies more effectively analyze their operations and make sound, AI-based decisions. Machine Learning, which is designed for both novice and advanced data scientists, will continue to learn as users feed it fresh data. It can also help scientists choose the right algorithms to make decisions and can be put to work in most industries, even those as wide-ranging as retailing or oil exploration. It runs on IBM's z System mainframes, which are widely deployed in enterprise data centers and, according to the company, can process billions of transactions each day.

IBM Machine Learning leverages parts of the Watson supercomputer to be used with the IBM z System Mainframe. The tech giant's initiative aims to train and deploy analytics models in the private cloud. According to Tech Republic, IBM plans to bring soon some of the core machine learning technology from IBM Watson to the private cloud and mainframes, as the company announced on Wednesday, Feb. 15. The tech giant has called its new cognitive platform IBM Machine Learning. The upcoming machine learning platform will be launched first on the z System mainframe.

IBM has announced the launch of IBM Machine Learning, a cognitive platform for the z System mainframe. The new platform uses the core technology from IBM Watson to perform big data analysis for clients using z System for cloud data storage. The new Machine Learning platform automates the creation and deployment of analytic models, allowing data scientists to perform analysis in-house. Models can be written in any language (Scala, Java, Python), using any framework and data type required for best results. IBM Machine Learning also includes a function called Cognitive Automation for Data Scientists, which helps data scientists to choose the correct algorithm for their needs.

New machine learning platform enables data scientists to automate the creation, training and deployment of operational analytic models. Chris Preimesberger is Editor of Features and Analysis at eWEEK. Join us for our next #eWEEKchat on March 8: "App Economy or API Economy: Which Is It Going to Be?"

IBM will soon bring some of the core machine learning technology from IBM Watson to mainframes and the private cloud, the company announced on Wednesday. The new cognitive platform, simply called IBM Machine Learning, will make its debut on the z System mainframe. In a press release, IBM described IBM Machine Learning as a platform for "continuously creating, training and deploying a high volume of analytic models in the private cloud at the source of vast corporate data stores." The service could help enterprise data scientists more quickly get to valuable insights. "IBM Machine Learning was designed leveraging our core Watson technologies to accelerate the adoption of machine learning where the majority of corporate data resides," Rob Thomas, general manager for IBM Analytics, said in a press release.