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With machines, structures and just about every other “thing” now being instrumented, cognitive computing can now be brought to bear on the kinds of problems that previously relied on deep human expertise and experience. The classic example of an engineer listening to the hum of an engineering and delivering a diagnosis can now be replicated through machine learning.
This presentation will provide an introduction to cognitive computing, show how it can be integrated with the Internet of Things and provide case study examples of the kinds of engineering challenges that it can be used to address.