Big Data and knowledge management with applications in accounting and auditing
The case of Watson
Watson analyzes unstructured data (and) 80% of all data today is unstructured.
IBM, n.d.
Introduction
In 2011, when IBM’s Watson competed on Jeopardy1 it used a cluster of 90 servers using a total of 2880 POWER 7 cores, with massively parallel processing capacity. The cluster had 16 terabytes of RAM, with 4 terabytes of disk (e.g. Deedrick, 2011). It was true parallel processing, analytics and big data. It also was true knowledge management of a wide range of generally text-based knowledge, at a level that had not been achieved in prior large-scale systems. At the conclusion of that contest, after Watson had defeated two of the ...
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