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Presentation given by Francesco D'Orazio at Watson DevCon 2016.
Not all data is created equal. Different datasets, industries, audiences, and use cases require different techniques to make sense of the data and help craft insights beyond simple analytics. At Pulsar, we deal with complex and varied social and behavioral datasets that require a very diverse range of data mining techniques—and there’s only so much a single company can do to keep up with the level of specialism needed to make sense of it all.Pulsar has built a modular system for AI solutions. Integrating Watson has been essential in helping to support a wide range of research use cases – from image analysis to topic extraction and emotion analysis. Come explore different Watson-enabled use cases and hear plans for future integrations.