Accenture Global Solutions Limited

Walmart Apollo, LLC

Oracle International Corporation

Sakshi Jain

Alpana A Dubey

Kumar Abhinav

Nitish Bhardwaj

Veenu Arora

Shubhashis Sengupta

Nidhi Agarwal

Anika Setia

Michael L Duncan

Niyati Singal

Alex M Kass

Janardan Misra

Roshni Ramesh Ramnani

Anutosh Maitra

Kshitiz Saxena

Manish Mehta

Suma Mani Kuriakose

Gurdeep Singh

Sowmya Rasipuram

Dhruv Bajpai

Abhin Hattikudru

Shalini Muthukrishnan

Hindnavis Vijaya Sharvani

Gurpriya Kaur Bhatia

Junaid Hamid Bhat

Blake McCartin

Manish Agnihotri

Dinesh Babu Jayagopi

Priyank Vashist

Ankur Kapoor

Alex Kass

Sayantan A Mitra

Alpana Dubey

Methods, systems and apparatus, including computer programs encoded on computer storage medium, for allocating computation resources using ESG reporting. In one aspect a method includes obtaining data from a knowledge source for an entity, the knowledge source comprising a plurality of ESG disclosures that relate to one or more ESG dimensions; computing vulnerability indicator scores that represent measures of latent vulnerability with respect to the ESG dimensions; computing descriptive distribution scores that represent distributions of descriptions of the ESG dimensions within the knowledge source; determining, using the vulnerability indicator scores and the descriptive distribution scores, an allocation of computational resources to ESG computational processes associated with the ESG dimensions that achieves an increased gain in sustainability for the entity; and initiating allocation of the computational resources to the ESG computational processes according to the determined allocation.

System and method for ESG reportng based optimized resource allocation across ESG dimensions

There are provided systems and methods for the purchase of age-restricted merchandise without requiring the transmission of biometric information. In one form, the system includes: age-restricted merchandise items offered for sale to customers, a server that receives orders from customer devices, and a customer database containing a plurality of customer records. The system may further include: a control circuit that queries a customer whether the customer opts in to the use of local biometric authentication to enable the purchase of age-restricted merchandise items; receives customer identification proof documentation; associates a unique identifier corresponding to the customer device; stores the customer's opt in agreement, the customer's identification proof documentation, and the unique identifier associated with the customer device; receives an order for the purchase of an age-restricted merchandise item and the unique identifier; confirms local biometric authentication; verifies the customer's identity and age; and authorizes completion of the purchase transaction.

Systems and methods for the sale of age-restricted merchandise

A system comprising one or more processors and one or more non-transitory computer-readable media storing computing instructions that, when executed on the one or more processors, cause the one or more processors to perform: receiving requests for at least two pick-walks to fulfill multiple orders; mapping each of the multiple items to respective aisles within at least a single portion of the location; calculating, using core logic, a minimum distance for each one of two or more pick-walks to fulfill the multiple orders, wherein the two or more pick-walks are revised through multiple iterations; generating the at least two pick-walks based on the two or more pick-walks; and transmitting the at least two pick-walks to the at least two pickers. Other embodiments are disclosed.

Systems and methods for generating a pick-walk

A device may receive text data, audio data, and video data associated with a user, and may process the received data, with a first model, to determine a stress level of the user. The device may process the received data, with second models, to determine depression levels of the user, and may combine the depression levels to identify an overall depression level. The device may process the received data, with a third model, to determine a continuous affect prediction, and may process the received data, with a fourth model, to determine an emotion of the user. The device may process the received data, with a fifth model, to determine a response to the user, and may utilize a sixth model to determine a context for the response. The device may utilize seventh models to generate contextual conversation data, and may perform actions based on the contextual conversational data.

Utilizing machine learning models to generate automated empathetic conversations

There are provided systems and methods for the purchase of age-restricted merchandise without requiring the transmission of biometric information. In one form, the system includes: age-restricted merchandise items offered for sale to customers, a server that receives orders from customer devices, and a customer database containing a plurality of customer records. The system further includes: a control circuit that queries a customer whether the customer opts in to the use of local biometric authentication to enable the purchase of age-restricted merchandise items; receives customer identification proof documentation; associates a unique identifier corresponding to the customer device; stores the customer's opt in agreement, the customer's identification proof documentation, and the unique identifier associated with the customer device; receives an order for the purchase of an age-restricted merchandise item and the unique identifier; confirms local biometric authentication; verifies the customer's identity and age; and authorizes completion of the purchase transaction.

An interactive troubleshooting assistant and method for troubleshooting a system in real time to repair (fix) one or more problems in a system is disclosed. The interactive troubleshooting assistant and method may include receiving multimodal inputs from sensors, wearable devices, a person, etc. that may be input into a feature extractor including attention layers and pre-processing units of a cloud computing system hosted by one or more servers, such as a private cloud system. A pre-processing unit converts the raw multimodal input into a structed form so that an attention layer can give weights to features provided by the pre-processing unit according to their importance. The weighted extracted features may be provided to an actions predictor. The actions predictor generates the most suitable action based on the weighted extracted features generated by the feature extractor based on the multimodal inputs. After the most suitable action is performed, the interactive troubleshooting assistant considers new information from multimodal inputs so that the interactive troubleshooting assistant can provide the next recommended action. The interactive troubleshooting assistant may repeat these operations until the repair is completed.

Interactive assistant

The disclosed system and method provide a way to create, update, and execute dynamic goal plans. Updating a dynamic goal plan may be based on the initial sequence of actions of the goal plan as well as the corresponding states of the actions. By using a sequence to sequence model, a goal plan can still be processed when the length of the input (initial sequence of actions) differs from the length of the output (updated sequence of actions). A sequence to sequence model can determine the interdependencies between actions that can contribute to the optimal order in which actions can efficiently be performed. A single layer neural network or clustering can be used to approximate the state of a goal plan that may be capable infinite states. This approximation improves accuracy in capturing the state of a goal plan, thereby improving accuracy in predicting the future state of a system, which can help with planning (e.g., gathering resources in advance). Projects involving collaboration between virtual and/or human assistants can greatly benefit from the ability to update a dynamic goal plan in real time.

Artificial intelligence based system and method for dynamic goal planning

The present disclosure relates to a system, and method for computer-based recursive learning of artificial intelligence (AI) apprentice agents. The system includes a system circuitry in communication with a database and a memory. The system circuitry is configured to receive a new data-structure comprising one or more inputs and a goal, and convert, using a perception agent, the one or more inputs of the new data-structure into one or more input feature parameters of the new data-structure. The system circuitry is configured to obtain, using a reasoning agent, an action for the new data-structure, and determine, using an evaluation agent, whether the action for the new data-structure generates the goal of the new data-structure. When it is determined that the action generates the goal of the new data-structure, the system circuitry is further configured to store the new data-structure in the database.

Recursive learning for artificial intelligent agents

Examples of article designing are described herein. In an example, image data, margin data, and sales data corresponding to a plurality of articles may be obtained. The obtained data may be analyzed to identify a first article image of a first article and a second article image of a second article. The first article image is integrated with the second article image, based on an article attribute to generate a transformed article image. The article attribute may be an attribute having a maximum likelihood of making the article popular. The transformed article image may be filtered based on predefined filtering rules to obtain a curated article design image. The curated article design image is assessed to generate a design score indicative of a popularity and/or a sellability of an article, and a design of the article may be selected for a post design selection process, based on the design score.

Article design

A crowdsource assistant provides guidance to crowdsource resources navigating a crowdsource platform to bid for and be accepted to accomplish tasks. The crowdsource assistant utilizes machine learning to train similarity computation models that improve the crowdsource assistant's computing capability to generate more relevant recommendations to a resource in a faster and more efficient manner.

Intelligent crowdsourced resource assistant

Interactive troubleshooting assistant

The global proliferation of high speed communication networks has created unprecedented opportunities for geographically distributed resource identification, evaluation, selection, and allocation. However, while the opportunities exist and continue to grow, the realization of those opportunities has fallen behind. A dynamic resource assessment system helps to solve the enormous technical challenges of finding the resources, evaluating the resources, and determining how to allocate the resources to achieve the highest likelihood of successfully completing the task.

Resource evaluation for complex task execution

Described herein are systems and methods for integrating a database into a cloud computing environment. In accordance with an embodiment, a system includes a service management engine (SME) configured to execute in the cloud environment and to access a provider type including coordinates to a database and authentication information for the database. When a service deployed to the cloud environment requests use of a database, the provider type can trigger creation of the database and a schema for use by the associated provider. In accordance with an embodiment, the provider type can include coordinates to a container database (CDB) and authentication information for the CDB. When a service deployed in the cloud environment requests a database, the provider type can trigger creation, via the CDB, of a pluggable database (PDB), with a schema for use by the service.

System and method for integrating a database with a service deployed on a cloud platform

Growing community of inventors

Bengaluru, India

Sakshi Jain