Abstract: In one embodiment, a method includes receiving, from a requestor, a request for an on-demand identity product in relation to an identity of a consumer, the request comprising personally identifying information (PII) of the consumer. The method also includes executing, using the PII, a partial registration of the consumer for the on-demand identity product, the partial registration omitting satisfaction of at least one security requirement. The method additionally includes determining whether delayed authentication is enabled for the on-demand identity product. Moreover, the method includes, responsive to a determination that delayed authentication is enabled for the on-demand identity product: conditionally suspending the at least one security requirement; initiating provision of the on-demand identity product to the requestor; and restricting the requestor's access to determined sensitive data resulting from the initiated provision at least until the at least one security requirement is satisfied.

Abstract: Systems and methods that can provide verifications and grades corresponding to items represented within ecommerce platforms such as online resume generation, online product marketplace, and online social media platforms. Evaluations of items such as skills, products, users, topics, and characteristics of users and items, contribute to verifications and grades that can be displayed in a user-friendly and understandable manner, employing graphic indicators. Contributions to the verifications and grades can be weighted according to grader profiles and item classification.

Abstract: A system and method that provides for the secure execution of any electronic document through the linkage of authenticated electronic signature(s) without modifying or storing the original electronic document to be executed. As such, users may approve, decline, acknowledge, consent, certify and/or electronically execute any electronic document in a fully secure fashion and in compliance with applicable electronic signature laws.

Abstract: A signature system includes an applicant side device and an approver side device. A full-application is installed in the applicant side device, an applicant generate, using the full-application, an expense report in which a signature field and a mark for starting up a mini application is included and print the same using a printer. An approver receives the printed expense report read the mark included in the expense report using the approver side device, thereby downloads the mini application from a server and starts up the same. Then, the approver approves the expense report on the mini application.

Abstract: The present invention discloses a system and method for modeling and monitoring processes in organizations using digital twins. The system has a model builder to create models, communicate with a first user device and create an integrated model of the process called digital twin definition. The digital twin includes a server component for executing the digital twin definition and the server component further communicates with multiple transaction systems and auxiliary systems. The digital twin has a client module that enables output on a second user device and deploys the digital twins to monitor the processes. The present invention discloses method for creating dynamic models and monitor said models using digital twin. The present invention also discloses a method for creating said PLAY.

Abstract: The present disclosure relates generally to utilizing paid time off. In one example, the systems and methods described herein may provide an infrastructure to repurpose paid time off into other uses, such as cash, travel, bill payments, and the like.

Abstract: A system and method are provided for creating a social-networking community and enabling the social-networking community to interoperate with other social-networking communities within a network of social-networking communities. The method includes creating a core profile that links a user member's identify to plurality of social-networking communities of the network. The system enables user identity information, content, and friend information to be shared across social-networking communities of the network. The system also enables community content to be shared and tracked across social-networking communities of the network.

Abstract: A secure education system including a secure education application, an education content database and a student profile database having a plurality of student profiles that include identification data that identifies a person associated with the student profile and evaluation data that valuates an academic proficiency of the person. The application both providing and dynamically adjusting the educational content based on an associated student profile of a user as well as securely determining the identity of the user in order to validate interactions of the user with the educational content. The verified identity and academic proficiency of a person can be compiled into an academic profile and submitted to academic institutions to support the user as a candidate for admissions.

Abstract: A novel approach to facilitating access to valuable actionable content from a multi-tenant database involves system generated ranking of connection content with associated data retrieval methods and systems, utilizing “connector” scores to rank responsive content. The system “learns” how to optimize retrieving and ranking high value actionable content with experience; and applies optimized scoring parameters to enhance future operations. The computer platform is greatly improved by delivering actionable content that is immediately translated into critical operations and tasks recommended by the system to support transactions for the User.

Abstract: An information processing apparatus according to the present application includes a use-condition acquiring unit, an image acquiring unit, a reservation-information acquiring unit, and a selecting unit. The use-condition acquiring unit acquires a use condition of the store. The image acquiring unit acquires an image obtained by capturing an inside of the store. The reservation-information acquiring unit acquires reservation information of the store. The selecting unit selects a store estimated to be usable on a date and time indicated in the use condition based on the acquired image of the store and the reservation information of the store.

Abstract: The present disclosure provides systems and methods for generating title reports in standardized formats and providing an environment for exchanging the title reports. The system can receive property documents from a plurality of sources. The property documents can be appended with metadata so as to enable the system to order the property documents within a title report. In some examples, generated title reports can accessible within a cloud environment for requesting entities to access.

Abstract: Various methods and systems for providing indications of inconsistent attributes of item listings associated in item listing videos. An item listing video—of an item listing—is accessed. The item listing video is accessed via an item listing interface of an item listing system. Extracted item features—via a machine learning engine—of an item from the item listing video, are accessed. The extracted item features are extracted based on listing-interface item features associated with listing the item. The extracted item features of the item are compared to the listing-interface item features of the item. Based on comparing the listing-interface item features to the extracted, an inconsistent attribute—between an extracted item feature and a listing-interface item feature that is associated with listing the item—is identified. An indication of an inconsistent attribute is communicated to cause display of the indication of the inconsistent attribute at the item listing interface.

Abstract: An apparatus for generating a personalized development program, the apparatus comprises a data collection unit configured to collect user data and a computing device connected to the data collection unit configured to receive user data, process the user metadata using an objective classifier, wherein the objective classifier is configured to transform user metadata into user objective datums, obtain user data associated with user objective datums containing historical progress data, generate a coaching development program using a development program machine-learning model, wherein the development program machine-learning model is configured to determine a plurality of resources and strategies for goals achievement as a function of user objective datums and the historical progress data, maintain a user progress tracking and adapt development path within the personalized development program by executing modifications on the program based on secondary user input data, and display the coaching development program

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for automating software selection are disclosed. In one aspect, a method includes the actions of receiving, by a computing device, user interaction data that reflects an interaction between a first user and a second user. The actions further include receiving, by the computing device, user summary data that reflects characteristics of the first user. The actions further include, based on the user interaction data and the user summary data, determining, by the computing device, an application that is relevant to the interaction between the first user and the second user. The actions further include, based on determining the application that is relevant to the interaction between the first user and the second user, providing, for output to the second user, an interface of the application.

Abstract: A skill-gap analysis and recommender system and method is described that serves as a personalized education and skill (PES) map. It provides a comprehensive presentation of the opportunities afforded by the University along with a detailed analysis of trends for placements and career goals. It conducts a comprehensive analysis of past student data and current market trends to make recommendations that are adapted to each student's profile in line with their individual career goals. This is accomplished using an algorithm for adaptive association pattern mining with a built-in mechanism for creation of meta-categories and drill-down for specifics, so as to meet the needs of every student and not miss infrequent patterns or rare opportunities afforded by the system. For the recommendations generated, the system also provides an assessment of the time-sensitivity of a goal and a mechanism for students to track their progress through prioritizing short and long term goals.

Abstract: Embodiments are directed to managing skill proficiencies. Declared skills may be determined based on a job description and natural language processing (NLP) actions declared in one or more extraction models. An inference prompt for a large language model (LLM) may be generated based on the job description such that the job description and the declared skills may be included in the inference prompt. The LLM may be trained with the inference prompt to generate a response such that the inference prompt may be iteratively updated based on validations of the response. The LLM may be retrained with the updated inference prompt to generate an updated response that includes the inferred skills that may be separate from the declared skills. A job profile that corresponds to the job description may be updated to include the declared skills and the separate inferred skills.

Abstract: Machine-learning prediction of occupancy status of real property. In an embodiment, ground-truth data, comprising property records, are received. The property records are normalized and augmented with property-specific data. Feature vectors, which are labeled with a known occupancy status, are generated from the normalized and augmented property records and used to train a machine-learning model to predict occupancy status based on a plurality of features.

Abstract: Methods for increasing a data security of information shared and viewed within a social network platform is provided. Methods may include generating a social media impersonation score (“SMIS”) for a first user account on the social network platform. The SMIS may indicate a veracity of the user profile data associated with the first user account. Methods may include verifying the veracity of the user profile data by determining an authenticity of a corporate email address associated with the first user account. Methods may include determining that the corporate email address exists and verifying that a domain associated with the corporate email address is a trusted domain. Methods may include generating the SMIS based on results of the verifying and linking the SMIS to the first user account. Methods may further include displaying the first user account and the SMIS on a graphical user interface (“GUI”) of the social network platform.

Abstract: A method, computer system, and a computer program product for cultivation feedback is provided. The present invention may include performing one or more parameter readings of one or more consumer products and storing the one or more parameter readings on a blockchain. The present invention may include determining a correlation between the one or more parameter readings and the one or more properties of the one or more consumer products. The present invention may include receiving feedback on the one or more consumer products from one or more users. The present invention may include providing one or more recommendations based on the feedback received.

Abstract: A system and method relate to excluding biasing data from talent profiles, including identifying one or more classes of bias, obtaining a first talent profile, wherein the first talent profile comprises an identifier of a person, and a plurality of values characterizing aspects of the person, determining, from the plurality of values, a first value that is indicative of influences over at least one of the one or more classes of bias, and removing or substituting the first value in the first talent profile to generate a second talent profile.