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Forward-looking organizations should consider Hadoop as a data management hub. New features in Hadoop 2.0 provide greater flexibility and manageability, allowing firms to efficiently move more workloads to Hadoop and build analytics models using a much larger data pool.
In financial services for example, many organizations have been experimenting with Hadoop projects. These range from securities pricing, risk analysis and setting insurance premiums to monitoring transactions flows…Continue
Added by Gabriel Lowy on November 7, 2013 at 7:00am — No Comments
GE’s entry into cloud and analytics should serve as a clarion call to organizations everywhere about not whether, but how to extract value from big data. GE will leverage industrial data to drive the three pillars of return on investment (ROI): reducing costs for itself and its customers, raising productivity of people and equipment, and generating incremental revenues. The Industrial Internet can be more significant for GE than Six Sigma was in the 1980s.
The most notable aspect of…Continue
Added by Gabriel Lowy on July 12, 2013 at 3:11pm — No Comments