Intuit, Inc.

Other

Manish Ramesh Shah

Aminish Sharma

Ashish Kumar Mishra

Anoop Makwana

Jayanth Saimani

Venkata Giri Sirigiri

Shashi Roshan

Gang Wang

Shirish Peshwe

Goutham Kallepalli

Viren Timble

Poornimadevi Pandurangan

Rupa M

Neetika Singhal

Anushrut Gupta

Anoop Makawana

A method of automating a workflow may include obtaining a completeness graph including conditions applied to attributes of an entity, determining that a missing attribute subset of the attributes lacks a corresponding value, determining that a condition corresponding to a missing attribute of the missing attribute subset is satisfied, and obtaining a value for the missing attribute. The value may be a result of performing a task in the workflow. The method may further include modifying a state of the entity by assigning the value to the missing attribute to obtain a modified state of the entity.

System and method for leveraging a completeness graph

The present invention provides a jig for shoulder replacement surgery. In particular the present invention provides a pre-assembled jig that facilitates and guides the placement of glenoid component of the implant in shoulder replacement surgery. The present jig (P) is pre-assembled to ensure precision alignment, placing and sizing of the glenoid component of the implant for shoulder replacement surgery based on the difference of cuts in millimeters instead of the usual version measurements in degrees. The present invention (P) guides the glenoid component of shoulder replacement in the precise position and thereby provides accuracy in placement of the component.

Jig for guiding placement of glenoid component of the implant in shoulder replacement surgery

Systems and methods for identifying and extracting specific product usage patterns of potential customers and utilizing a machine learning evaluation model to predict the potential customers that are most likely to convert their subscriptions.

System and method for product usage evaluation and prediction

A method may include obtaining a knowledge graph including entities, and determining, for the knowledge graph, a first state including a first selectable entity subset of the entities that are selectable by a user. The first selectable entity subset may include an entity. The method may further include receiving, from the user and via a graphical user interface (GUI), a selection of the entity from the first selectable entity subset, and responsive to the selection, adding the entity to a report schema. The method further includes restricting, by the GUI, a space of selectable entities addable to the knowledge graph to the first selectable entity subset. The report schema may be used to populate a report. The method may further include, responsive to the selection, transitioning the knowledge graph to a second state including a second selectable entity subset of the entities that are selectable by the user.

Custom report builder

A method for making binary predictions for a subject involves obtaining historical data for multiple subjects, the historical data including, for each subject, a feature set and a binary outcome, generating training data from the historical data, and training a predictive model using the training data to predict the outcomes based on the feature sets. The method further includes obtaining historical data including a feature set for a subject under consideration, and predicting a binary outcome for the subject under consideration, based on the feature set associated with the subject under consideration.

Method and system for making binary predictions for a subject using historical data obtained from multiple subjects

The present jig for guiding placement of femoral component of the implant in a knee replacement surgery (J) is a pre-assembled Jig (J) which ensures precision fit femoral implant for knee replacement based on difference of cuts in millimeters instead of the usual angle measurement in degrees. It avoids intrusion of the intramedullary canal substantially decreasing the risks of embolism. It enables the surgeon to use precise values of depth of cuts obtained from a system for obtaining optimum fit implant as described in patent application number 3896/MUM2015. This enables the surgeon to control precisely the placement of the implant in terms of flexion or extension, varus or valgus, internal or external rotation It also enables precise placement of the fourin-one cutting block simultaneously with the distal femur cut; ensuring precise placement of knee femoral component of the knee implant. This reduces efforts and time taken during the surgery.

Jig for guiding placement of femoral component of the implant in knee replacement surgery

Aspects of the present disclosure provide techniques for explainable payroll calculations. Embodiments include receiving a request from a client for a rule-based calculation. Embodiments include receiving one or more user values related to the request. Embodiments include using a calculation graph to determine the rule-based calculation based on the one or more user values. The calculation graph may comprise at least one node that performs an operation using the one or more user values. Embodiments include identifying an explanation template associated with the at least one node. Embodiments include generating an explanation of the rule-based calculation based on the explanation template and the one or more user values. Embodiments include providing the rule-based calculation and the explanation of the rule-based calculation to the client in response to the request.

Explainable rule-based calculations

A method may include obtaining a knowledge graph including entities, and determining, for the knowledge graph, a first state including a first selectable entity subset of the entities that are selectable by a user. The first selectable entity subset may include an entity. The method may further include receiving, from the user and via a graphical user interface (GUI), a selection of the entity from the first selectable entity subset, and responsive to the selection, adding the entity to a report schema. The report schema may be used to populate a report. The method may further include, responsive to the selection, transitioning the knowledge graph to a second state including a second selectable entity subset of the entities that are selectable by the user.

The present jig for guiding placement of femoral component of the implant in a knee replacement surgery (J) is a pre-assembled Jig (J) that ensures precision fit femoral implant for knee replacement based on difference of cuts in millimeters instead of the usual angle measurement in degrees. It avoids intrusion of the intramedullary canal substantially decreasing the risks of embolism. It enables the surgeon to use precise values of depth of cuts obtained from a system for obtaining optimum fit implant as described in patent application number 3896/MUM2015. This enables the surgeon to control precisely the placement of the implant in terms of flexion or extension, varus or valgus, internal or external rotation. It also enables precise placement of the four-in-one cutting block simultaneously with the distal femur cut; ensuring precise placement of knee femoral component of the knee implant. This reduces efforts and time taken during surgery.

A method to predict a delay involves receiving an open invoice sent by a company to a customer, extracting, using a programmable interface, a set of company data, a set of customer data, and a set of invoice data from a management application (MA) and the open invoice; refining, using a set of algorithms, the set of company data, the set of customer data, and the set of invoice data into a set of invoice attributes, a set of company features, and a set of customer features; predicting a delay in processing the open invoice using a trained model analyzing the set of company features and the set of customer features; updating, at an expiration of a predetermined timespan, the MA to add the delay to a due date of the open invoice by including the set of company features; and updating, at the expiration of the predetermined timespan, the MA to add the delay in processing the open invoice by including the set of customer features.

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Bengaluru, India

Manish Ramesh Shah