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SYNTHESIS wins “Pioneer Award” in the finals of Watson Build Challenge in Greater China Region
编辑时间:2017-10-19 17:05  浏览量:0
<p> <span style="font-family:'Arial','sans-serif';font-size:14px;"><span style="font-family:'Arial','sans-serif';">On September 20, Watson Build Challenge in Greater China Region entered its final stage. Five cooperation partners of IBM from various fields including medical, finance, logistics and tourism competed with each other in the finals. SYNTHESIS won the “Pioneer Award” with its commercial solution of “Watson+</span><span style="font-family:'Arial','sans-serif';">Intelligent</span><span style="font-family:'Arial','sans-serif';"> </span><span style="font-family:'Arial','sans-serif';">U</span><span style="font-family:'Arial','sans-serif';">pgrading of</span><span> </span><span style="font-family:'Arial','sans-serif';">Bank-hospital Kiosks</span><span style="font-family:'Arial','sans-serif';">”. It entered the play-off stage after being tied for the second place, to compete with players from other regions for the final seat to join the global championship. </span><span style="font-family:'Arial','sans-serif';"></span> </p> </span> <p> <span style="font-family:'Arial','sans-serif';font-size:14px;"><br /> </span> </p> <p align="center"> <img alt="" src="/en/uploadfiles/image/201709/1.png" width="980" height="585" /> </p> <p> <span style="font-family:'Arial','sans-serif';"></span>&nbsp; </p> <p> <span style="font-family:'Arial','sans-serif';font-size:14px;">During</span><span style="font-family:'Arial','sans-serif';font-size:14px;"> the preparat</span><span style="font-family:'Arial','sans-serif';font-size:14px;">ions</span><span style="font-family:'Arial','sans-serif';"> </span><span style="font-family:'Arial','sans-serif';font-size:14px;">for</span><span style="font-family:'Arial','sans-serif';font-size:14px;"> the fina</span><span style="font-family:'Arial','sans-serif';font-size:14px;">ls, SYNTHESIS completed the </span><span style="font-family:'Arial','sans-serif';font-size:14px;">intelligent upgrading of </span><span style="font-family:'Arial','sans-serif';font-size:14px;">Bank-hospital Kiosks based on its program for the contest and put into operation in a top hospital of Jiangxi. Unlike its program submitted for the </span><span style="font-family:'Arial','sans-serif';font-size:14px;">preliminary</span><span style="font-family:'Arial','sans-serif';font-size:14px;"> contest, the </span><span style="font-family:'Arial','sans-serif';font-size:14px;">commercial solution of “Watson+ Intelligent Upgrading of Bank-hospital Kiosks” </span><span style="font-family:'Arial','sans-serif';font-size:14px;">has referred to customers’ feedbacks after coordination with the institution staff to ensure that it is more suitable for customers’ requirements and has received un</span><span style="font-family:'Arial','sans-serif';font-size:14px;">animous</span><span style="font-family:'Arial','sans-serif';font-size:14px;"> praise from the panel of professional judges. </span> </p> <p> <span style="font-family:'Arial','sans-serif';font-size:14px;"></span><span style="font-family:'Arial','sans-serif';"></span><span style="font-family:'Arial','sans-serif';"></span>&nbsp; </p> <p> <img alt="" src="http://www.sdses.com/en/uploadfiles/image/201709/2.jpg" width="980" height="654" /> </p> <p> &nbsp; </p> <p> <span style="font-family:'Arial','sans-serif';font-size:14px;">The solution focuses on the breakthrough point in the medical field and employs man-machine interaction process based on natural languages as the core. It fully combines with IBM Watson technology to overcome the difficulties in some core issues, such as interpretation of natural languages, construction of knowledge base, dialogue exchange mechanism, etc. Through technical </span><span style="font-family:'Arial','sans-serif';font-size:14px;">superiority</span><span style="font-family:'Arial','sans-serif';font-size:14px;"> and powerful </span><span style="font-family:'Arial','sans-serif';font-size:14px;">generalization</span><span style="font-family:'Arial','sans-serif';font-size:14px;"> capability of Watson API natural languages treatment, it has realized deep </span><span style="font-family:'Arial','sans-serif';font-size:14px;">semantic</span><span style="font-family:'Arial','sans-serif';font-size:14px;"> understanding of natural languages. With its ability to execute structural and parametric logical </span><span style="font-family:'Arial','sans-serif';font-size:14px;">deduction</span><span style="font-family:'Arial','sans-serif';font-size:14px;">, it can cope with complicated consultation questions in multiple rounds of dialogues, which can bring about better experiences for the customers. </span> </p>

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