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1.
公开(公告)号:US20200068018A1
公开(公告)日:2020-02-27
申请号:US16673752
申请日:2019-11-04
Applicant: salesforce.com, inc.
Inventor: Ka Hou Chan , Karl Ryszard Skucha , Kit Pang Szeto , Emmanual Felipe Oliveira , Jean-Marc Soumet , Simon Chan , Matvey Tovbin
IPC: H04L29/08 , G06F3/06 , G06F16/27 , G06F16/182 , G06F16/25 , G06F16/2453
Abstract: Techniques and architectures for data modeling and management. Data modeling services are provided to agents within multiple different operating environments of a computing environment having at least one database stored on one or more physical memory devices communicatively coupled with one or more hardware processors the one or physical memory devices. Building and versioning of data modeling projects is coordinated and data utilized for the data modeling projects with the one or more hardware processors.
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公开(公告)号:US10938907B2
公开(公告)日:2021-03-02
申请号:US16673752
申请日:2019-11-04
Applicant: salesforce.com, inc.
Inventor: Ka Hou Chan , Karl Ryszard Skucha , Kit Pang Szeto , Emmanual Felipe Oliveira , Jean-Marc Soumet , Simon Chan , Matvey Tovbin
IPC: G06F15/16 , H04L29/08 , G06F3/06 , G06F16/27 , G06F16/182 , G06F16/25 , G06F16/2453
Abstract: Techniques and architectures for data modeling and management. Data modeling services are provided to agents within multiple different operating environments of a computing environment having at least one database stored on one or more physical memory devices communicatively coupled with one or more hardware processors the one or physical memory devices. Building and versioning of data modeling projects is coordinated and data utilized for the data modeling projects with the one or more hardware processors.
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公开(公告)号:US10824608B2
公开(公告)日:2020-11-03
申请号:US15884318
申请日:2018-01-30
Applicant: salesforce.com, inc.
Inventor: Yan Yang , Karl Ryszard Skucha , Marco Vivero , Joshua Sauter , Kit Pang Szeto , Leah McGuire , Matvey Tovbin , Jean-Marc Soumet , Qiong Liu , Vlad Patryshev
Abstract: A system may generate a score for a predictive model based on receiving a streaming data flow of events associated with a predictive model for a tenant. The system may receive the streaming data flow and calculate one or more feature values in real time based on the reception. The system may store each of the calculated features to a multi-tenant database server. The system may calculate a score for the predictive model based on the storage and may transmit an indication of the score (e.g., a prediction) based on the calculation. The system may transmit the score to, for example, a computing device.
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公开(公告)号:US20190147076A1
公开(公告)日:2019-05-16
申请号:US15884318
申请日:2018-01-30
Applicant: salesforce.com, inc.
Inventor: Yan Yang , Karl Ryszard Skucha , Marco Vivero , Joshua Sauter , Kit Pang Szeto , Leah McGuire , Matvey Tovbin , Jean-Marc Soumet , Qiong Liu , Vlad Patryshev
Abstract: A system may generate a score for a predictive model based on receiving a streaming data flow of events associated with a predictive model for a tenant. The system may receive the streaming data flow and calculate one or more feature values in real time based on the reception. The system may store each of the calculated features to a multi-tenant database server. The system may calculate a score for the predictive model based on the storage and may transmit an indication of the score (e.g., a prediction) based on the calculation. The system may transmit the score to, for example, a computing device.
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5.
公开(公告)号:US20200057959A1
公开(公告)日:2020-02-20
申请号:US16264659
申请日:2019-01-31
Applicant: salesforce.com, inc.
Inventor: Kevin Moore , Leah McGuire , Matvey Tovbin , Mayukh Bhaowal , Shubha Nabar
IPC: G06N20/00
Abstract: Instances of data associated with hindsight bias in a training set of data for a machine learning system can be reduced. A first set of data, having a first set of fields, can be received. Data in a first field can be analyzed with respect to data in a second field corresponding to an event to be predicted. A result can be that the data in the first field is associated with hindsight bias. A second set of data, having a second set of fields, can be produced. The second set of fields can exclude the first field. One or more features associated with the second set of data can be generated. A third set of data, having the second set of fields and fields that correspond to the one or more features, can be produced. The training set of data can be produced using the third set of data.
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公开(公告)号:US10469584B2
公开(公告)日:2019-11-05
申请号:US15721575
申请日:2017-09-29
Applicant: salesforce.com, inc.
Inventor: Ka Hou Chan , Karl Ryszard Skucha , Kit Pang Szeto , Emmanual Felipe Oliveira , Jean-Marc Soumet , Simon Chan , Matvey Tovbin
IPC: G06F15/16 , H04L29/08 , G06F3/06 , G06F16/27 , G06F16/182 , G06F16/25 , G06F16/2453
Abstract: Techniques and architectures for data modeling and management. Data modeling services are provided to agents within multiple different operating environments of a computing environment having at least one database stored on one or more physical memory devices communicatively coupled with one or more hardware processors the one or physical memory devices. Building and versioning of data modeling projects is coordinated and data utilized for the data modeling projects with the one or more hardware processors.
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7.
公开(公告)号:US20180097880A1
公开(公告)日:2018-04-05
申请号:US15721575
申请日:2017-09-29
Applicant: salesforce.com, inc.
Inventor: Ka Hou Chan , Karl Ryszard Skucha , Kit Pang Szeto , Emmanual Felipe Oliveira , Jean-Marc Soumet , Simon Chan , Matvey Tovbin
CPC classification number: H04L67/1097 , G06F3/067 , G06F16/183 , G06F16/25 , G06F16/27 , H04L67/10
Abstract: Techniques and architectures for data modeling and management. Data modeling services are provided to agents within multiple different operating environments of a computing environment having at least one database stored on one or more physical memory devices communicatively coupled with one or more hardware processors the one or physical memory devices. Building and versioning of data modeling projects is coordinated and data utilized for the data modeling projects with the one or more hardware processors.
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