Making its biggest announcement in a decade as leader in analytics, IBM (NYSE: IBM) today announced Watson Analytics, a breakthrough natural language-based cognitive service that can provide instant access to powerful predictive and visual analytic tools for businesses.
IBM (NYSE: IBM) announced today that Ping An Insurance (Group) Company of China, Ltd. (Ping An), the largest private insurer in the country, has implemented an IBM Software Defined Storage solution to help it speed data collection from one month to one hour, dramatically improving its ability to meet new regulatory requirements such as the annual audit and industrial data analysis.
IBM (NYSE: IBM) has announced it is collaborating with Deutsches Elektronen-Synchrotron (DESY), a leading national research center in Germany, to speed up management and storage of massive volumes of x-ray data. The planned Big Data and Analytics architecture based on IBM software defined technology can handle more than 20 gigabyte per second of data at peak performance.
IBM recently announced that it is transforming how organizations engage with business content and make it more usable and interactive across the enterprise to deliver better results and improve decision making. Through a new Big Data service available on the IBM Cloud marketplace, organizations can now easily secure, access and manage content from anywhere and on any device.
IBM is announcing a new software defined storage-as-a-service on IBM SoftLayer, code named Elastic Storage on Cloud, that gives organizations access to a fully-supported, ready-to-run storage environment, which includes SoftLayer bare metal resources and high performance data management and allows organizations to move data between their on-premise infrastructure and the cloud.
The O’Reilly Strata + Hadoop World Conference is one of a few conferences that seriously can deliver on the mission of providing a state-of-the-art perspective on the big data industry. Here is a selection of video presentations made by industry luminaries that can guide enterprise thought leaders.
From premature babies to traumatic brain injuries in adults, critically-ill patients often hang in a precarious balance between stabilizing and taking a turn for the worse. Doctors and nurses work tirelessly to keep track of data from heart monitors, respirators, and other machines to help restore health. But it’s not just the amount of healthcare-related data that seems to be growing exponentially — so is the pace needed to analyze it.
It was Saturday, June 14 and I was up at the crack of dawn (which is quite an achievement for a late night data hacker like me) to get over to the Big Data Camp 2014 happening at the DirectTV campus in beautiful El Segundo, Calif. (actually a spartan industrial area just south of LAX). I was anticipating a great day of big data technology focusing on three advertised session tracks: Data Science, Hadoop, and NoSQL.