- 专利标题: Aggregate predictive model and workflow for local execution
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申请号: US14744352申请日: 2015-06-19
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公开(公告)号: US10261850B2公开(公告)日: 2019-04-16
- 发明人: Brad Nicholas , Jason Kolb
- 申请人: Uptake Technologies, Inc.
- 申请人地址: US IL Chicago
- 专利权人: Uptake Technologies, Inc.
- 当前专利权人: Uptake Technologies, Inc.
- 当前专利权人地址: US IL Chicago
- 代理机构: Lee Sullivan Shea & Smith LLP
- 主分类号: G06F11/07
- IPC分类号: G06F11/07 ; G06N5/04 ; G06N7/00 ; G06Q10/00 ; G06F11/26 ; G06F11/263 ; G08B21/18 ; G06F11/00 ; G01D3/08 ; G01M99/00 ; G06F11/20 ; G06N5/02 ; H04L12/707 ; G06Q10/06 ; G06Q10/04
摘要:
Disclosed herein are systems, devices, and methods related to assets and predictive models and corresponding workflows that are related to the operation of assets. In particular, examples involve defining and deploying aggregate, predictive models and corresponding workflows, defining and deploying individualized, predictive models and/or corresponding workflows, and dynamically adjusting the execution of model-workflow pairs.
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