A mobile application development environment may be maintained in association with a computing platform. A request to produce a binary of a first mobile application may be processed. The binary and a package configurable to cause the binary to have code-sign credentials associated with a first organization when the binary is uploaded to a mobile application provider may be produced. The binary and the package may be provided to the first organization.

A computerized method for providing a sentiment score by evaluating expressions of participants during a video meeting is provided herein. The computerized method comprising: a Sentiment Analysis (SA) module. The SA module is: (i) retrieving one or more recordings of a video meeting from the database of video meeting recordings of each participant in the video meeting and associating the one or more recordings with a participant; (ii) dividing each retrieved recording into segments; (iii) processing the segments in a Facial Expression Recognition (FER) system to associate each segment with a timestamped sequence of expressions for each participant in the video meeting; and (iv) processing each segment in an Artificial Neural Network (ANN) having a dense layer, by applying a prebuilt and pretrained deep learning model, to yield a sentiment score for each statement for each participant.

Data associated a plurality of user interface elements may be retrieved from at least one database associated with a service business, such as a casino. At a first time, a first indication to turn on a first subset of the plurality of user interface elements may be received. The user interface elements may include content management, task management, property management, action management, player profiling, comp management, player development, asset tagging and flagging, profitability and comparative analysis, etc. Each of the first subset of user interface elements may be populated with the respective data associated that user interface element.

Systems and methods for generating a pseudo data field in a CRM system to allow end users to generate and manage pseudo data fields for account objects in the CRM system, which may behave like actual data fields of account objects in the CRM system but live outside the CRM account. The present invention uses a data model that includes two objects to allow end users to generate and manage the pseudo data fields. One of the objects is pseudo data field configuration object, which may be used to configure the pseudo data fields that should be made available to end users. The other object is pseudo data field object which may be used to record user responses or values users use to populate the pseudo data field.

A method for managing sales and installations of solar power systems. The method includes retrieving or accessing, by a processor, homeowner information corresponding to a homeowner of a home within a geographical area; receiving, by an input device of a user device, parameters corresponding to a potential solar installation at the home; selecting, by the processor, a preferred installer capable of installing a solar installation at the home based on the parameters; determining, by the processor, at least one financing option based on the homeowner information, the preferred installer, and the parameters; and generating, by the processor, a solar installation proposal corresponding to the solar installation at the home that meets the parameters and includes the preferred installer and the at least one financing option.

A method is disclosed. The method includes receiving, from a user computer that is a party to a transaction, information that can be used to identify a transaction between the user computer and a resource provider computer. The method further includes determining one or more attributes. The method additionally includes presenting a first question based on the one or more attributes. The method also includes receiving a response to the first question, presenting a second question based on the received response, and receiving a response to the second question. The method further includes storing the received responses in a data storage element, wherein the data storage element is accessible by an authorizing entity computer.

Methods are provided for discovering related attributes with respect to an element in a customer data record, based on provided associations and for generating new associations between various elements of the customer data record. In these method, the context service system obtains, from a subscriber, a lookup request including a first blinded attribute. The first blinded attribute is obtained by applying an oblivious pseudo random function (OPRF) to a first element of a data record. The method further includes the context service system identifying at least one second blinded attribute associated with the first blinded attribute in a shared data partition of the context service system and providing, to the subscriber, at least one second element of the data record associated with the at least one second blinded attribute.

A method includes curating CRM data by employing a type system of a model-driven architecture and selecting an AI CRM application from a group of applications. Each CRM application may generate one or more use case insights with one or more objectives. The method also includes obtaining one or more data models including an industry-specific data model from the curated CRM data and orchestrating a plurality of machine learning models for the selected CRM application with the obtained data model(s) to determine one or more machine learning models effective for at least one objective of the selected CRM application. The method further includes applying the determined machine learning model(s) and the obtained data model(s) to predict probabilities that optimize the at least one objective and using the predicted probabilities to apply at least one of the one or more use case insights that optimizes the at least one objective.

A computer-implemented method for implementing a uniform matching engine. In aspects, the method includes receiving consumer data from a plurality of data sources, the consumer data include a plurality of attributes that include personally identified information, non-personally identifiable information, or a combination thereof. In some aspects, the method associates a first attribute of the plurality of attributes with a second attribute of the plurality of attributes and creates combinations of attributes based upon the associations. In some aspects, the method includes matching first and second combinations of the multiple combinations and associating one or more attributes included in the first combination with one or more attributes included in the second combination based upon the matching. In addition, the method includes outputting the association of the one or more attributes included in the first combination with the one or more attributes included in the second combination.

Disclosed is an improved approach for implementing enterprise software systems that addresses the above-described problems with existing systems. The present approach provides an effective and efficient way for defining schemas for services, and to define how to map the schema to particular transactional contexts.