Manisha S Gupta

US Patent:

20230039981, Feb 9, 2023

Filed:

Oct 11, 2022

Appl. No.:

17/963770

Inventors:

- Redwood Shores CA, US
Manisha Gupta - San Ramon CA, US
Ananth Venkata - San Ramon CA, US
Malhar Chaudhari - Fremont CA, US

Assignee:

Oracle International Corporation - Redwood Shores CA

International Classification:

G06F 7/08
G06N 20/00
G06F 16/22

Abstract:

A method of identifying causal relationships between time series may include accessing a hierarchy of nodes in a data structure, where each node in the plurality of nodes may include a time series of data. The method may also include identifying a subset of nodes in the plurality of nodes for which causal relationships may exist in the corresponding time series. The method may additionally include generating a model for each of the subset of nodes, where the model may receive the subset of nodes and generate coefficients indicating how strongly each of the subset of nodes causally affects other nodes in the subset of nodes. The method may further include generating a ranked output of nodes that causally affect a first node in the subset of nodes based on an output of the corresponding model.

US Patent:

20210365611, Nov 25, 2021

Filed:

Aug 6, 2021

Appl. No.:

17/396561

Inventors:

- Redwood Shores CA, US
Manisha Gupta - San Ramon CA, US
Malhar Chaudhari - Fremont CA, US

Assignee:

Oracle International Corporation - Redwood Shores CA

International Classification:

G06F 30/20
G06F 16/28
G06F 16/22

Abstract:

A method of creating and executing action pathways for time series data may include accessing a model of a system, where the system is represented by a hierarchy of nodes in a data structure representing time series of data. The method may also include simplifying the model by removing relationships between the nodes that affect parent nodes less than a threshold amount, and simulating the model to identify a node comprising a time series of data that risks missing a predefined target value. The method may further include generating a pathway of actions for changes to driver nodes that cause the time series of data to move within a threshold distance of the predefined target value in the future, and causing the pathway of actions to be executed.

US Patent:

20210365643, Nov 25, 2021

Filed:

Aug 6, 2021

Appl. No.:

17/396569

Inventors:

- Redwood Shores CA, US
Manisha Gupta - San Ramon CA, US
Malhar Chaudhari - Fremont CA, US

Assignee:

Oracle International Corporation - Redwood Shores CA

International Classification:

G06F 40/56
G06F 16/332
G06F 16/33
G06F 40/35
G06F 40/247

Abstract:

A method of generating natural language outputs may include accessing a model of a system, where the system may be represented by a hierarchy of nodes in a data structure, and nodes in the hierarchy of nodes may include time series of data. The method may also include identifying a time series represented by a node in the data structure that will generate a future anomaly; accessing a template corresponding to a type of the time series; populating semantic tags in the template using data from the time series; sending a phrase from the template to a natural language model; receiving a plurality of similar phrases from the natural language model; selecting one of the plurality of similar phrases and replacing the phrase in the template; and causing language from the template to be displayed on a display device.

US Patent:

20210081170, Mar 18, 2021

Filed:

Sep 11, 2020

Appl. No.:

17/018794

Inventors:

- Redwood Shores CA, US
Manisha Gupta - San Ramon CA, US
Ananth Venkata - San Ramon CA, US
Malhar Chaudhari - Fremont CA, US

Assignee:

Oracle International Corporation - Redwood Shores CA

International Classification:

G06F 7/08
G06F 16/22
G06N 20/00

Abstract:

A method of identifying causal relationships between time series may include accessing a hierarchy of nodes in a data structure, where each node in the plurality of nodes may include a time series of data. The method may also include identifying a subset of nodes in the plurality of nodes for which causal relationships may exist in the corresponding time series. The method may additionally include generating a model for each of the subset of nodes, where the model may receive the subset of nodes and generate coefficients indicating how strongly each of the subset of nodes causally affects other nodes in the subset of nodes. The method may further include generating a ranked output of nodes that causally affect a first node in the subset of nodes based on an output of the corresponding model.

US Patent:

20200104775, Apr 2, 2020

Filed:

Sep 27, 2019

Appl. No.:

16/586347

Inventors:

- Redwood Shores CA, US
Manisha Gupta - San Ramon CA, US
Ashlesh Bajpai - Fremont CA, US
David Granholm - Edina MN, US
Stefan Schmitz - Redwood City CA, US
Naren Chawla - Pleasanton CA, US
Matthew Bedin - Denver CO, US
Jacques Vigeant - Fort Lauderdale FL, US
Ananth Venkata - San Ramon CA, US
Rajesh Balu - Bangalore, IN
Vikas Agrawal - Hyderabad, IN

Assignee:

Oracle International Corporation - Redwood Shores CA

International Classification:

G06Q 10/06
G06F 9/451
G06T 11/20

Abstract:

Described herein are techniques for identifying highly relevant content for a user to view in the form of KPI cards and providing the relevant view to the user automatically or by suggestion. The KPIs of highest practical and statistical significance are provided when the user accesses the user interface. In some embodiments, when the user is viewing a KPI, other relevant KPIs may be provided for the user to view as suggestions. Further, in some embodiments, the user may be provided with the KPIs of significance based on anomaly detection, and the explanation for the anomaly as well as suggestions for remedying any issues may be provided to the user. The highly informational content can be surfaced through the use of the advanced machine learning algorithms described herein.

US Patent:

20190102742, Apr 4, 2019

Filed:

Sep 24, 2018

Appl. No.:

16/140153

Inventors:

- Redwood Shores CA, US
Saurav Mohapatra - Hyderabad, IN
Anirban Majumdar - Hyderabad, IN
Ispati Nautiyal - Bangalore, IN
Manisha Gupta - San Ramon CA, US

Assignee:

Oracle International Corporation - Redwood Shores CA

International Classification:

G06Q 10/10
G06F 17/18
G06F 15/18
G06F 17/30

Abstract:

There are significant advantages to employing a diverse workforce within an enterprise. Techniques for identifying gaps in diversity hiring, promotion, and termination within an enterprise are provided herein. The techniques described herein may be used to analyze any large data set for comparison of aggregated data. Employment data may be collected and aggregated based on classifications such as ethnicity, gender, veteran status, disability status, and so forth, and within each classification the data can be aggregated for hiring, termination, promotion, and so forth. Two aggregates can be identified for comparison, and statistical scores may be generated for the first aggregate as compared to the second aggregate. Each of the statistical scores may be weighted and the scores may be combined to generate a single impact score. The impact score can be used to identify gaps in diversity employment practices within the enterprise.