IBM (NYSE:IBM) and Acxiom (NASDAQ:ACXM) announced a new partnership designed to empower data scientists to make faster and more accurate predictions by providing powerful analytics tools and curated data on IBM Cloud.
IBM & Acxiom Help Data Scientists Use Analytics on IBM Cloud to Target Customers and Prospects with Greater Accuracy
June 19, 2016 by
IBM Launches Development Environment for Apache Spark – Delivered in the Cloud for Rapid Adoption
June 7, 2016 by
IBM (NYSE:IBM) today announced the first cloud-based development environment for near real-time, high performance analytics, giving data scientists the ability to access and ingest data and deliver insight-driven models to developers.
IBM Invests in R Programming Language for Data Science; Joins R Consortium
June 6, 2016 by
The R Consortium, an open source foundation to support the R user community and a Linux Foundation project, today is announcing IBM is becoming a Platinum member of the project, which demonstrates a significant investment in the open source R programming language to simplify data analysis and statistical computing.
jSonar Announces SonarG Big Data Warehouse for the IBM Guardium Database Security Market
June 5, 2016 by
jSonar announced the availability of SonarG, a Big Data Warehouse for the IBM Guardium Database Security Market. SonarG is the industry’s first implementation of modern Big Data technology targeted to dramatically streamline and simplify the data collection and analysis of large and growing “data lakes” of IBM Guardium database security activity monitoring data.
IBM Expands Access and Value of z Systems Mainframe Data with Apache Spark
April 25, 2016 by
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.
Building a Successful Predictive Analytics Program
April 22, 2016 by
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 Expands Data Science Education around the World
March 4, 2016 by
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 Launches Cloud Data and Analytics Marketplace for Developers
February 10, 2016 by
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 Helps Automakers Build Internet of Things Connected Vehicles
January 6, 2016 by
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’s Machine Learning Technology Accepted as Apache Open Source Project
November 24, 2015 by
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.
