发明名称 |
LEVERAGING GLOBAL DATA FOR ENTERPRISE DATA ANALYTICS |
摘要 |
A deep learning network is trained to automatically analyze enterprise data. Raw data from one or more global data sources is received, and a specific training dataset that includes data exemplary of the enterprise data is also received. The raw data from the global data sources is used to pre-train the deep learning network to predict the results of a specific enterprise outcome scenario. The specific training dataset is then used to further train the deep learning network to predict the results of a specific enterprise outcome scenario. Alternately, the raw data from the global data sources may be automatically mined to identify semantic relationships there-within, and the identified semantic relationships may be used to pre-train the deep learning network to predict the results of a specific enterprise outcome scenario. |
申请公布号 |
WO2017019318(A1) |
申请公布日期 |
2017.02.02 |
申请号 |
WO2016US42374 |
申请日期 |
2016.07.15 |
申请人 |
MICROSOFT TECHNOLOGY LICENSING, LLC |
发明人 |
DENG, Li;GAO, Jianfeng;HE, Xiaodong;SINGH, Prabhdeep |
分类号 |
G06Q10/06 |
主分类号 |
G06Q10/06 |
代理机构 |
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代理人 |
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主权项 |
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地址 |
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