The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
May. 28, 2024

Filed:

Sep. 20, 2022
Applicant:

Nike, Inc., Beaverton, OR (US);

Inventors:

Ying-zong Huang, Seattle, WA (US);

Vishal Doshi, Somerville, MA (US);

Balaji Rengarajan, Beaverton, OR (US);

Vasudha Shivamoggi, Boston, MA (US);

Devavrat Shah, Waban, MA (US);

Ritesh Madan, Berkeley, CA (US);

Assignee:

NIKE, Inc., Beaverton, OR (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/22 (2019.01); G06F 16/24 (2019.01); G06F 16/242 (2019.01); G06F 16/2458 (2019.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G06F 16/2462 (2019.01); G06F 16/22 (2019.01); G06F 16/2433 (2019.01); G06F 16/2477 (2019.01); G06N 20/00 (2019.01);
Abstract

A system for event prediction is configured to ingest at least partially incomplete unstructured data from at least one data source, convert at least a subset of the ingested data into a prediction model in accordance with a received model definition, receive a prediction query, and in response, supply an event prediction based on the prediction model. In some embodiments, ingesting the data involves transforming the unstructured data into a universal structured format in which the data is represented as key-value pairs each comprising a key tuple and an associated value, the key tuple specifying an operation and at least one identifier; the prediction query includes a key tuple specifying an operation and at least one identifier; and the event prediction generated with the prediction model includes a value associated with the key tuple that is missing from the transformed data.


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