公开(公告)号：US09671776B1

公开(公告)日：2017-06-06

申请号：US14831733

申请日：2015-08-20

Applicant: Palantir Technologies Inc.

Inventor： Mitchell Beard ,  Kai Shen ,  Roger Hu ,  Sachi Shah ,  Miklos Danka ,  Laurynas Pliuskys ,  Thomas Pearson

IPC: G05B19/4063

CPC classification number: G05B19/4063 ,  G05B19/41885 ,  G05B2219/31461 ,  Y02P90/26

Abstract: A system comprising a computer-readable storage medium storing at least one program and a method for determining, tracking, and anticipating risk in a manufacturing facility are presented. In example embodiments, the method includes obtaining operational data associated with a manufacturing facility. The method further includes accessing a risk data model corresponding to the manufacturing facility, and calculating a risk score based on the current operational data using the risk data model. The method further includes causing presentation of a user interface that includes a display of the risk score to provide a user with a measure of risk at the manufacturing facility.

公开(公告)号：US20240320227A1

公开(公告)日：2024-09-26

申请号：US18731699

申请日：2024-06-03

Applicant: Palantir Technologies Inc.

Inventor： Lawrence Manning ,  Rahul Mehta ,  Daniel Erenrich ,  Guillem Palou Visa ,  Roger Hu ,  Xavier Falco ,  Rowan Gilmore ,  Eli Bingham ,  Jason Prestinario ,  Yifei Huang ,  Daniel Fernandez ,  Jeremy Elser ,  Clayton Sader ,  Rahul Agarwal ,  Matthew Elkherj ,  Nicholas Latourette ,  Aleksandr Zamoshchin

IPC: G06F16/2457 ,  G06F16/28 ,  G06F16/35 ,  G06F16/9535 ,  G06F18/23

CPC classification number: G06F16/24578 ,  G06F16/285 ,  G06F16/35 ,  G06F16/9535 ,  G06F18/23

Abstract: Computer implemented systems and methods are disclosed for automatically clustering and canonically identifying related data in various data structures. Data structures may include a plurality of records, wherein each record is associated with a respective entity. In accordance with some embodiments, the systems and methods further comprise identifying clusters of records associated with a respective entity by grouping the records into pairs, analyzing the respective pairs to determine a probability that both members of the pair relate to a common entity, and identifying a cluster of overlapping pairs to generate a collection of records relating to a common entity. Clusters may further be analyzed to determine canonical names or other properties for the respective entities by analyzing record fields and identifying similarities.

公开(公告)号：US12038933B2

公开(公告)日：2024-07-16

申请号：US18325616

申请日：2023-05-30

Applicant: Palantir Technologies Inc.

Inventor： Lawrence Manning ,  Rahul Mehta ,  Daniel Erenrich ,  Guillem Palou Visa ,  Roger Hu ,  Xavier Falco ,  Rowan Gilmore ,  Eli Bingham ,  Jason Prestinario ,  Yifei Huang ,  Daniel Fernandez ,  Jeremy Elser ,  Clayton Sader ,  Rahul Agarwal ,  Matthew Elkherj ,  Nicholas Latourette ,  Aleksandr Zamoshchin

IPC: G06F16/00 ,  G06F16/2457 ,  G06F16/28 ,  G06F16/35 ,  G06F16/9535 ,  G06F18/23

CPC classification number: G06F16/24578 ,  G06F16/285 ,  G06F16/35 ,  G06F16/9535 ,  G06F18/23

Abstract: Computer implemented systems and methods are disclosed for automatically clustering and canonically identifying related data in various data structures. Data structures may include a plurality of records, wherein each record is associated with a respective entity. In accordance with some embodiments, the systems and methods further comprise identifying clusters of records associated with a respective entity by grouping the records into pairs, analyzing the respective pairs to determine a probability that both members of the pair relate to a common entity, and identifying a cluster of overlapping pairs to generate a collection of records relating to a common entity. Clusters may further be analyzed to determine canonical names or other properties for the respective entities by analyzing record fields and identifying similarities.

公开(公告)号：US11580137B2

公开(公告)日：2023-02-14

申请号：US17459801

申请日：2021-08-27

Applicant: Palantir Technologies Inc.

Inventor： Boris Valensi ,  James Ong ,  Howard Carter ,  Joy Tao ,  Mark Schafer ,  Barry McCardel ,  Kelsey Falter ,  Roger Hu

IPC: G06F16/20 ,  G06F16/28 ,  G06F3/0484 ,  G06F3/0482 ,  G06F16/25 ,  G06F16/248 ,  G06F16/901 ,  G06F16/26 ,  G06F16/90 ,  G06F3/00

Abstract: Systems and techniques for indexing and/or querying a database are described herein. Multiple, large disparate data sources may be processed to cleanse and/or combine item data and/or item metadata. Further, attributes may be extracted from the item data sources. The interactive user interfaces allow a user to select one or more attributes and/or other parameters to present visualizations based on the processed data.

公开(公告)号：US20220164371A1

公开(公告)日：2022-05-26

申请号：US17459801

申请日：2021-08-27

Applicant: Palantir Technologies Inc.

Inventor： Boris Valensi ,  James Ong ,  Howard Carter ,  Joy Tao ,  Mark Schafer ,  Barry McCardel ,  Kelsey Falter ,  Roger Hu

IPC: G06F16/28 ,  G06F3/0484 ,  G06F3/0482 ,  G06F16/25 ,  G06F16/248 ,  G06F16/901 ,  G06F16/26

Abstract: Systems and techniques for indexing and/or querying a database are described herein. Multiple, large disparate data sources may be processed to cleanse and/or combine item data and/or item metadata. Further, attributes may be extracted from the item data sources. The interactive user interfaces allow a user to select one or more attributes and/or other parameters to present visualizations based on the processed data.

公开(公告)号：US10114884B1

公开(公告)日：2018-10-30

申请号：US15077650

申请日：2016-03-22

Applicant: Palantir Technologies Inc.

Inventor： Boris Valensi ,  James Ong ,  Howard Carter ,  Joy Tao ,  Mark Schafer ,  Barry McCardel ,  Kelsey Falter ,  Roger Hu

IPC: G06F17/30 ,  G06F3/0484 ,  G06F3/0482

Abstract: Systems and techniques for indexing and/or querying a database are described herein. Multiple, large disparate data sources may be processed to cleanse and/or combine item data and/or item metadata. Further, attributes may be extracted from the item data sources. The interactive user interfaces allow a user to select one or more attributes and/or other parameters to present visualizations based on the processed data.