May 17, 2012 – IBM is fanning out the business possibilities for its advanced analytics supercomputer Watson with new student-led use cases to detect weather patterns, natural resource opportunities and travel efficiencies.
The University of Rochester’s Simon Graduate School of Business harnessed Watson’s analytic discovery, mining and pattern recognition capabilities for a contest that delved into key to issues surrounding transportation, retail and energy. Taking first place was an initiative that synced up weather information and census data – a mix of structured and unstructured content – to recognize emergency resources and administrative needs in the event of storms. Other top entries relied on the supercomputer’s cognitive reasoning capabilities to weed through risk management, compliance and environmental impacts of mining for oil, gas and minerals, as well as a use that parsed massive data sets to maximize security and streamline movement at airports.
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