IBM (NYSE: IBM) announced a new version of its industry leading database software, IBM DB2 V11.1 to help developers easily bridge on-premise applications to the cloud and enable a hybrid data architecture.
IBM (NYSE: IBM) and Cisco (NYSE: CSCO) announced they will partner to combine the market-leading strengths of each company to transform how knowledge-workers collaborate and work. The companies will form a suite of cloud-based workplace tools and applications infused with IBM Watson.
IBM & Acxiom Help Data Scientists Use Analytics on IBM Cloud to Target Customers and Prospects with Greater Accuracy
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 (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.
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 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 (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.