IBM (NYSE: IBM) is making it easier and faster for organizations to access and analyze data in-place on the IBM z Systems mainframe with the new z/OS Platform for Apache Spark. This is creating new opportunities for data scientists and developers to apply advanced analytics to the system’s rich data sets for real-time insights.
In this special guest feature, Jane Hendricks, WW Portfolio Marketing Lead at IBM Predictive Analytics, describes a methodology for realizing business value from predictive analytics: start by understanding the business before the data that’s available and obtainable, then develop and apply models while considering how the models can be put into practice. The article includes three short case studies that illustrate the successful application of these principles.
IBM (NYSE: IBM) is expanding its academic initiative with a new program that infuses its natural-language-based Watson Analytics technology into the classroom to help professors teach students how to turn data into insights without needing in-depth knowledge of data science.
IBM (NYSE: IBM) announced a broad expansion of its Cloud Data Services portfolio with more than 25 services now available on the IBM Cloud. They are designed to help developers build, deploy and manage web and mobile applications and enable data scientists to discover hidden trends using data and analytics in the cloud.
IBM (NYSE: IBM) announced a new IBM Cloud-based service to help automakers turn driver and vehicle data into actionable insights for predictive vehicle maintenance, real-time diagnostics on engine trouble,and to guide drivers to the most efficient traffic routes.
IBM (NYSE: IBM) today announced that its machine learning technology –SystemML –has been accepted as a project by the Apache Incubator open source project. Originally developed by IBM Research, and now used in IBM’s BigInsights data analytics platform, SystemML is a machine learning algorithm translator.
IBM is unveiling the industry’s first real-time Insights Services on the cloud, a dramatic shift in its analytics strategy through the re-design of its portfolio based on Spark and new cognitive capabilities to advance capture and extract more information and insight from enterprise documents.
IBM has written a new 8 page white paper “IBM Storage with OpenStack Brings Simplicity and Robustness to Cloud” to review the increasingly popular OpenStack cloud platform and the abilities that IBM storage solutions provide to enable and enhance OpenStack deployments.
IBM has written a new 10 page report “Mitigating IT Risk for Financial Risk Analytics,” designed to explore deploying an integrated solution for risk analytics based on the IBM Application Ready Solution for Algorithmics.
This executive report is based on an in-depth study by the IBM Institute for Business Value research team. It looks at the current state of analytics across the healthcare ecosystem, including how organizations are implementing analytics strategies.