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You know what I mean? Watson does.
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You know what I mean? Watson does.
Watson knows the definition of “brake” – the device that stops something; or the act of stopping something. But what about the hundreds of ways that the car-driving public describes problems with their brakes to a mechanic? The brakes might “squeal,” or “judder.” Or maybe they’re “soft.” All of those descriptors could indicate a different issue that aren’t understood by a computer. Until now. Thanks to IBM Research’s Dan Gruhl, Watson can help the mechanic and the car manufacturer pinpoint the problem, based on common, even slang descriptions.  |
Dan Gruhl at 2015 Cognitive Colloquim |
Watson Concept Expansion, on demonstration at the Cognitive Computing Colloquium in San Francisco, expanded the cognitive system’s dictionary of related words, concepts, euphemisms, and colloquialisms to better-understand context across any industry or field. Dan’s team feeds Watson unstructured data from blogs and news articles, to Twitter’s firehose, among other sources.Then, because this is a human-machine partnership, meant to augment one another’s intelligence, the human expert begins to tell Watson what is relevant (squeaky brakes), and not (I need a break). While Watson gathers and organizes by relevance online documents and discussions about how to fix various kinds of brake problems. “It's a game of patterns. If I start with 'apple' and 'blackberry' in the tool, it needs to interact with me a few times before it realizes I am talking about fruits and not cell phone manufacturers.” Dan said.
That context from such a wide and diverse source that only Watson could gather and comprehend (in seconds) gives domain experts a new way to understand their industry, brand, or product. Try it out on Bluemix, now.
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