A multi-tenant orchestration engine for a single-tenant application may be provided. One or more rows in a table of an application database for the single-tenant application may be identified that include modified data in a date field of the table. A modified rows message may be sent to a modified rows message queue, which includes a corresponding row identifier for each row. The modified rows message may be received and, for each of the one or more rows, a corresponding set of modified fields having a corresponding set of modified values identified. The corresponding row identifier and the corresponding set of modified values may be stored as metadata in an orchestration engine database. Job schedule instances may be updated and/or created in the orchestration engine database based on the corresponding set of modified values in each row. A subset of the job schedule instances may be identified to execute.
A system can receive an indication of a request to update a data record associated with a profile data structure. The request can include identification parameters to identify the data record to be updated and update parameters specifying the update to be applied to the data record. The system can filter, based on the identification parameters and the profile data structure, a plurality of databases maintained in a computing environment to identify a target database storing the data record to be updated. The system can determine, by inputting a subset of features associated with the data record into a machine learning model, that the request is indicative of an instance of fraud or a valid update request. The system can generate, upon determining that the request is indicative of the valid update request, instructions to cause the target database to update the data record based on the update parameters.
Rapid data migration between computing systems using autonomous metadata-driven processes is provided. A system can include one or more process, coupled with memory. The one or more processors can select one or more agents based on a state of metadata that corresponds to a metadata-based platform, and each agent can execute a respective function to migrate client data onto the metadata-based platform. The one or more processors can transmit, using a first agent, a first message including a reference to the state of metadata of the metadata-based platform. The one or more processors can select, based on the first message, a second agent to execute a respective function. The one or more processors can generate, based on execution of respective functions of the first and second agent, a structured query to migrate at least a portion of the client data onto the metadata-based platform.
Aspects of the present disclosure relate to distributed transactions over a broadcast communication channel within a microservices environment. In embodiments, a method includes: receiving a request to process distributed transactions input in a data schema in order to perform a task of an application in a cloud computing environment; broadcasting to a plurality of microservices a multicast message requesting availability to execute the distributed transactions in the data schema; receiving confirmation of preparation from at least one of the plurality of microservices to execute one or more of the distributed transactions in the data schema; sending at least one unicast message to the at least one of the of the plurality of microservices to execute the one or more of the distributed transactions in the data schema; and receiving an acknowledgement of the execution of each of the distributed transactions in the data schema.
G06F 18/22 - Matching criteria, e.g. proximity measures
G06F 18/2413 - Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on distances to training or reference patterns
A system can identify requests to update data records in a database. Each request can include an identifier of a source application and can update a respective data record at a second timestamp, which is subsequent to a first timestamp when the update was applied. The system can establish log entries for the requests in the database. Each log entry can include a timestamp corresponding to a respective request and the source application identifier. The system can determine an active user session with the source application, including a session start time. The system can select a subset of log entries from the database. Each selected log entry can have a timestamp prior to the session start time and an identifier matching the source application. The system can execute a target replay engine to provide updates to the source application to perform a network operation.
A system for code generation using a self-learning system is described. A data processing system can receive a command to generate a computer program comprising instructions that execute a network operation in a computing environment. A data processing system can generate a plurality of computer programs using a pool of models, each model initialized using a dictionary. A data processing system can select, based on an evaluation by the pool of models of the plurality of computer programs, a first computer program from the first plurality of computer programs, the selection based on the first computer program satisfying a metric. A data processing system can execute, responsive to the selection, the first computer program in the computing environment. A data processing system can evaluate the performance of first computer program’s execution in the computing environment. A data processing system can perform an action, based on the evaluation.
Machine-learning based dynamic caching for chatbots is described. A system identifies a session between a client device and a chatbot. The system inputs, into a generative artificial intelligence model, one or more queries and one or more corresponding responses from the session to construct a query and a response that, together, represent the session. The system validates the query and the response based on a first schema model established for a type of data field in the query and the response. The system creates a link between the query and the response. The system stores, responsive to the validation of the query and the response, the link, the query, and the response in a cache memory. The chatbot uses the link in the cache memory to service one or more subsequent queries provided to the chatbot.
H04L 51/02 - User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail using automatic reactions or user delegation, e.g. automatic replies or chatbot-generated messages
The technical solutions described herein are directed to improving profile provisioning. A system receives a request to access a target application, the request comprising at least one unique identifier corresponding to a profile. The system determines, responsive to receipt of the request, an absence of an account from a directory based on the at least one unique identifier. The system provides, for display on a first graphical user interface responsive to the absence of the account from the directory, one or more requests for one or more personal identifiers. The system verifies, responsive to receipt of the one or more personal identifiers via the first graphical user interface, that the one or more personal identifiers correspond to the profile. The system generates, responsive to verification of the one or more personal identifiers, the account. The system causes, responsive to generation of the account, the target application to execute.
H04L 9/32 - Arrangements for secret or secure communicationsNetwork security protocols including means for verifying the identity or authority of a user of the system
H04L 12/22 - Arrangements for preventing the taking of data from a data transmission channel without authorisation
(1) Payroll processing, preparation, administration, and recordkeeping; Providing an online marketplace for sellers of payroll and human resources services to promote the services of others to their clients; Sales promotion for others; Providing human capital management (HCM) services for others; Human resources (HR) management and administration.
Payroll processing, preparation, administration, and recordkeeping; Providing an online marketplace for sellers of payroll and human resources services to promote the services of others to their clients; Sales promotion for others; Providing human capital management (HCM) services for others; Human resources (HR) management and administration
Providing information via telephone in the field of employment, namely, information regarding employee health benefits, career advancement and employee discounts each provided by an employer to its employees as part of a human resources benefit plan
09 - Scientific and electric apparatus and instruments
35 - Advertising and business services
42 - Scientific, technological and industrial services, research and design
Goods & Services
Downloadable computer application software for mobile devices, tablets, and personal computers for employee and personnel related services, namely, human resources management services, human capital management (HCM) services, talent management, payroll processing, preparation, and administration, payroll tax calculation, payroll tax filing and reporting, payroll tax debiting, printing payroll reports, checks, and tax forms, employee recruiting, workers compensation, pre-employment background screening, compensation management, and time, attendance, scheduling, and employee recordkeeping; Downloadable computer application software for mobile devices, tablets, and personal computers for use in database management in the fields of employee records and HR management, time, attendance, scheduling, payroll and tax compliance, compensation management, learning and development, and succession planning; downloadable computer application software for mobile devices, tablets, and personal computers for use in connection with analyzing and reporting financial information in the fields of human resources (HR) and human capital management (HCM) Payroll preparation and processing; Providing human capital management (HCM) services for others; Human resources (HR) management and administration; Employee time and attendance record keeping; Business management services; Providing financial records management regarding payroll data to businesses and employers; Financial record keeping for pension accruement and payment purposes; Payroll tax deposit filing and reporting; Providing business records management regarding employment and statistical data to businesses and employers; Business services, namely, timekeeping services for others Providing temporary use of non-downloadable computer software for employee and personnel related services, namely, payroll processing, preparation, and administration, payroll tax calculation, tax regulation compliance, payroll tax filing and reporting, printing payroll reports, checks and tax forms, human resources management services, employee recruiting, pre-employment background screening, administering workers compensation claims and payments, processing employee time and attendance records, and employee recordkeeping management; Providing temporary use of non-downloadable computer software for employee and personnel related services, namely, database management of compensation, providing information about employee job training and professional development and succession planning; Application service provider (ASP) services, namely, hosting, managing, developing, and maintaining software applications of others in the field of employment to allow off-site field employees to submit time and labor data to employers via wireless communication and wireless delivery of content to handheld computers and mobile electronic devices; Providing temporary use of online non-downloadable software for providing employers with a compatible interface between payroll processing software and software for financial management and management of human resources; Providing temporary use of online non-downloadable computer software for use in preparing and processing business employee payroll for employers, and for printing payroll documents, namely, reports, checks, and tax forms
09 - Scientific and electric apparatus and instruments
35 - Advertising and business services
42 - Scientific, technological and industrial services, research and design
Goods & Services
Downloadable computer application software for mobile devices, tablets, and personal computers for employee and personnel related services, namely, human capital management (HCM) services, talent management, payroll processing, preparation, and administration, payroll tax calculation, payroll tax filing and reporting, payroll tax debiting, printing payroll reports, checks, and tax forms, employee benefits administration, employee recruiting, employee pension and retirement funds administration, employee flexible spending accounts administration, workers compensation, pre-employment background screening, compensation management, and time, attendance, scheduling, and employee recordkeeping; Downloadable computer application software for mobile devices, tablets, and personal computers for use in database management in the fields of employee records and HR management, employee benefits management, time, attendance, scheduling, payroll and tax compliance, compensation management, learning and development, and succession planning; Downloadable computer application software for mobile devices, tablets, and personal computers for use in connection with analyzing and reporting financial information in the field of human capital management (HCM) Payroll preparation and processing; Providing human capital management (HCM) services for others; Employee time and attendance record keeping; Business management services; Providing financial records management regarding payroll data to businesses and employers; Financial record keeping for pension accruement and payment purposes; Payroll tax deposit filing and reporting; Providing business records management regarding employment and statistical data to businesses and employers; Business services, namely, timekeeping services for others Providing temporary use of non-downloadable computer software for employee and personnel related services, namely, payroll processing, preparation, and administration, payroll tax calculation, tax regulation compliance, payroll tax filing and reporting, printing payroll reports, checks and tax forms, employee benefits administration, human capital management (HCM) services, employee recruiting, pre-employment background screening, administering employee pension and retirement funds and employee flexible spending accounts, administering workers compensation claims and payments, processing employee time and attendance records, and employee recordkeeping management; Providing temporary use of non-downloadable computer software for employee and personnel related services, namely, database management of compensation, providing information about employee job training and professional development and succession planning; Providing a web based system and online portal featuring non-downloadable software for employee benefits brokers and consultants to use in pension record keeping, and unemployment compensation management; Application service provider (ASP) services, namely, hosting, managing, developing, and maintaining software applications of others in the field of employment to allow off-site field employees to submit time and labor data to employers via wireless communication and wireless delivery of content to handheld computers and mobile electronic devices; Providing temporary use of online non-downloadable software for providing employers with a compatible interface between payroll processing software and software for financial management; Providing temporary use of online non-downloadable computer software for use in preparing and processing business employee payroll for employers, and for printing payroll documents, namely, reports, checks, and tax forms; Providing a web-based system and online portal featuring non-downloadable software for employee benefits brokers and consultants to use in employee benefits administration
The technical solutions described herein are directed to improving profile provisioning. A system receives a request to access a target application, the request comprising at least one unique identifier corresponding to a profile. The system determines, responsive to receipt of the request, an absence of an account from a directory based on the at least one unique identifier. The system provides, for display on a first graphical user interface responsive to the absence of the account from the directory, one or more requests for one or more personal identifiers. The system verifies, responsive to receipt of the one or more personal identifiers via the first graphical user interface, that the one or more personal identifiers correspond to the profile. The system generates, responsive to verification of the one or more personal identifiers, the account. The system causes, responsive to generation of the account, the target application to execute.
H04L 9/32 - Arrangements for secret or secure communicationsNetwork security protocols including means for verifying the identity or authority of a user of the system
A computing architecture for machine learning based application development tracking and aggregation is provided. A system can receive, using an application programming interface call, a data stream from a digital channel. The system can detect, based on the data streams and machine learning, an indication of a modification to a process executed by an application. The system can trigger, responsive to the detection of the indication, a validation operation for the modification to the process, and compare a version of the application corresponding to the modification with a previous version of the application stored prior to the indication of the modification. The system can validate, based on the comparison, the indication of the modification to the process and execute an action, responsive to the validation.
42 - Scientific, technological and industrial services, research and design
Goods & Services
(1) Payroll processing, preparation, administration, and recordkeeping; Providing human capital management (HCM) services for others; Human resources (HR) management and administration.
(2) Providing temporary use of non-downloadable computer software for employee and personnel related services, namely, payroll processing, preparation, and administration, tax regulation compliance, employee benefits administration, human resources management services, employee recruiting, and pre-employment background screening.
42 - Scientific, technological and industrial services, research and design
Goods & Services
(1) Payroll processing, preparation, administration, and recordkeeping; Providing human capital management (HCM) services for others; Human resources (HR) management and administration.
(2) Providing temporary use of non-downloadable computer software for employee and personnel related services, namely, payroll processing, preparation, and administration, tax regulation compliance, employee benefits administration, human resources management services, employee recruiting, and pre-employment background screening.
The technical solutions described herein present a user interface with enhanced assistance content searching combining keyword and semantic search results u. A system can identify a term of a search query input into a user interface of a device and generate keyword search results, based on the term, for display in the user interface. The system can determine to use a semantic search responsive to a parameter of the keyword search results not satisfying a threshold. Responsive to this determination, the system can generate using the semantic search for a vector representation of the one or more terms and vector representations of contents to assist with the search query, one or more semantic search results. The system can provide, for display via the user interface, a combination of the keyword search results and the semantic search results, with the parameter satisfying the threshold.
36 - Financial, insurance and real estate services
41 - Education, entertainment, sporting and cultural services
Goods & Services
Financial administration of employee pension plans and retirement plans; providing financial consulting, research, information, planning, management, and administration of retirement plans, and reporting services related thereto Providing online non-downloadable electronic publications, namely, newsletters, white papers, case studies and magazines featuring information in the fields of preparation and administration of employee benefits and retirement plans
28.
Display screen or a portion thereof with a graphical user interface
A computer-implemented method, system, and computer program product for configuring a pay statement. An input area is presented for a user to enter settings defining how the pay statement is to be configured. The settings are received from the user. A preview of the pay statement is displayed in a preview area based on the settings. The preview provides a visual representation of how the pay statement will appear for the settings. The user may modify the settings until the preview appears as desired by the user.
Machine learning based processing of network operations using sequence alignment is described to meet performance criteria. A system can identify, from a plurality of function sequences, a sequence to perform an action and identify, for the action, a constraint on an order of functions within the sequence. The system can identify a machine learning (ML) model trained on performance data related to execution of actions using sequences of functions and according to a plurality of constraints for the plurality of actions. The system can determine, using the ML model, a likelihood that the sequence of functions performs the action within a performance tolerance and according to the constraint. The system can provide, responsive to the likelihood satisfying a threshold, an instruction to the transaction processing system to cause the transaction processing system to perform the action using the sequence of functions.
A system and method for dynamic script generation for automated filing services is provided. In embodiments, a method includes: initiating a clickstream recording of an electronic document filing interface of a remote platform based on a triggering event; generating a clickstream recording of the electronic document filing interface, wherein the clickstream recording comprising a recording of a navigation of the electronic document filing interface through multiple steps of a document filing process, wherein the clickstream recording is in the form of scripts associated with each of the multiple steps of the document filing process; and generating automated filing instructions for the electronic document filing interface using the clickstream recording, the automated filing instructions enabling computer automated submission of one or more documents to the remote platform via the electronic document filing interface.
Systems and methods are provided to integrate an email validation application with a web application. A custom email composer of the web application may include a context identifier in a draft email, where the context identifier identifies an issue activity log. The email validation application may validate the draft email in response to a validation request received from the custom email composer, where the validation request includes the context identifier. A custom backend component of the web application may write a validation status to the issue activity log in response to receipt of the validation status from the email validation application. The custom backend component may send the draft email in response to the validation status indicating the draft email is validated.
H04L 51/02 - User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail using automatic reactions or user delegation, e.g. automatic replies or chatbot-generated messages
A system for processing employment documents includes one or more processors, coupled with memory. The one or more processors are configured to receive an input document, determine that the input document is associated with a first field and a second field, extract a first extracted text string corresponding to the first field and a second extracted text string corresponding to the second field, generate a first generated text string associated with the first field based on the first extracted text string, and generate a second generated text string associated with the second field based on the second extracted text string.
Vector-based hybrid search for chatbots is provided. A system receives, via a chatbot, a user query. The system generates, using an artificial intelligence model, a vector representation based on a combination of the user query, historical queries, and corresponding responses and identify a cached response corresponding to the user query in a semantic cache using the vector representation. The system executes, based on the cached response, a hybrid search operation including retrieval of first and second results having a first and second accuracy value by execution of a first and second search process on a first and second data source. The system selects one of the first or the second results based on modeling the first and the second accuracy value and displays, responsive to the user query, an output corresponding to the selected results.
H04L 51/02 - User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail using automatic reactions or user delegation, e.g. automatic replies or chatbot-generated messages
39.
Display screen or a portion thereof with a graphical user interface
A method receives an electronic image and uses the image as an input to a neural network. Based on a determination that the image represents a document, the method uses the image as an input to another neural network to identify a portion of the document containing an identifier. The method extracts the identifier by performing character recognition on the identified portion and determines whether the identifier is valid by using a validation API to determine whether the identifier is associated with a valid account at an institution. Based on a determination that the identifier is associated with a valid account, the method authorizes a transaction associated with the identifier. Based on a determination that the identifier is not associated with a valid account, the method denies the transaction. The first neural network classifies the electronic image into one of multiple valid document types and an invalid document type.
G06Q 20/40 - Authorisation, e.g. identification of payer or payee, verification of customer or shop credentialsReview and approval of payers, e.g. check of credit lines or negative lists
42 - Scientific, technological and industrial services, research and design
Goods & Services
Providing temporary use of non-downloadable computer software for employee and personnel related services, namely, payroll processing, preparation, and administration, tax regulation compliance, employee benefits administration, human resources management services, employee recruiting, and pre-employment background screening
42 - Scientific, technological and industrial services, research and design
Goods & Services
Payroll processing, preparation, administration, and recordkeeping; Providing human capital management (HCM) services for others; Human resources (HR) management and administration Providing temporary use of non-downloadable computer software for employee and personnel related services, namely, payroll processing, preparation, and administration, tax regulation compliance, employee benefits administration, human resources management services, employee recruiting, and pre-employment background screening
45.
Display screen or a portion thereof with a graphical user interface
Data digitization via custom integrated machine learning ensembles is provided. For example, a system integrates multiple trained machine learning ensembles to identify, extract, and map data. The system receives a data set from sources. The system identifies ensembles can include machine learning models that can determine an outcome. The system filters a subset of data from the data set. The system identifies a layout for the data set based on a vendor type, data type, and the data set. The system executes a block detection module to identify blocks of the layout. The system executes a header detection module. The system executes a policy detection module to identify the headers as policies. The system transforms, based on the headers, the layout, the blocks, and the policies, the data set into a second file type, and presents the transformed data set for integration into a capital management system.
A method, apparatus, system, and computer program code for onboarding client information for provisioning multiple software services. On a first page of the graphical user interface, client location data is received in a consolidated manner for the multiple services. Within the first page of the graphical user interface, each of the multiple software services is configured using a plurality of guided question. The client location data is organized according to Federal Employer Identification Number. Groups of client location data, organized per FEIN, are displayed on a second page of the graphical user interface, providing an easier onboarding process that reduces no-starts and enables a client to onboard services more quickly and accurately.
A system for processing employment documents includes one or more processors, coupled with memory. The one or more processors are configured to receive an input document, determine that the input document is associated with a first field and a second field, extract a first extracted text string corresponding to the first field and a second extracted text string corresponding to the second field, generate a first generated text string associated with the first field based on the first extracted text string, and generate a second generated text string associated with the second field based on the second extracted text string.
Systems and methods are provided to integrate an email validation application with a web application. A custom email composer of the web application may include a context identifier in a draft email, where the context identifier identifies an issue activity log. The email validation application may validate the draft email in response to a validation request received from the custom email composer, where the validation request includes the context identifier. A custom backend component of the web application may write a validation status to the issue activity log in response to receipt of the validation status from the email validation application. The custom backend component may send the draft email in response to the validation status indicating the draft email is validated.
A method, apparatus, system, and computer program code for automatic data retrieval and validation. A computer system generates an audit file including a set of data objects. The computer system validates the data objects with a compliance policy by deploying a set of software bots to interact at a user level with a set of application programs. In response to validating the data objects, the computer system reflects validation results into a user interface.
Aspects extract, from payroll data of employees of an organization, data historically associated to previous instances of certified tax credit eligibility; normalize the extracted data with respect to data type and data value; generate from the normalized extracted data via a neural network classifier multi-class outputs for each employee that indicate strengths of likelihood that each employee is currently eligible for each of a plurality of different tax credits; filter the normalized extracted data by removing portions associated to employees indicated within the multi-class outputs as having no currently eligible likelihood for the different tax credits, thereby generating a remainder set of normalized extracted data associated to remainder eligible ones of the employees; and prioritize application for the tax credits for the remainder eligible employees as a function of respective values and likelihoods of eligibility within the remainder set of normalized extracted data.
A system can receive, from a client device, a request to execute an automatic repeating network operation using a profile data structure. The system can query a database to retrieve multiple source identifiers and corresponding computing infrastructure identifiers. The system can cause the client device to present a user interface comprising an interface object for each of the source identifiers. The interface object can be configured to display configurations for the automatic repeating network operation associated with a respective source identifier. The system can receive interactions corresponding to partial switches for the automatic repeating network operation for at least two of the multiple source identifiers. The system can generate one or more executable commands to cause a payroll processing system to update the profile data structure based on the interactions. The system can execute the automatic repeating network operation in accordance with the updated profile data structure.
Payroll processing, preparation, administration, and recordkeeping; Providing human capital management (HCM) services for others; Human resources (HR) management and administration
Dynamic session headers for a computing session via a remote dictionary are provided. A system establishes a session responsive to receiving a first request from a browser, the session authenticated using a cookie configured to access a first electronic record. The system stores data corresponding to the session in a remote dictionary server. The system identifies a second request to modify the session to access a second electronic record and accesses, using the cookie, the data corresponding to the session from the remote dictionary server. The system receives, using a reverse proxy technique, data to update the session. The system modifies the session by storing the second identifier in the remote dictionary server and provides the browser with access to the second electronic record via the session.
A system can include one or more processors coupled with memory. The one or more processors can determine that a first collection of resources is coupled with the first entity, detect that a second collection of resources has been decoupled from a second entity, cause a user interface to display a first element configured to receive an input to cause an aggregation of the second collection of resources into the first collection of resources based on the first collection of resources being coupled with the first entity, retrieve an electronic form associated with the aggregation of the second collection of resources into the first collection of resources, cause the user interface to display a second element configured to receive information for one or more fields included in the electronic form, and transmit one or more signals to provide the electronic form to a third entity.
41 - Education, entertainment, sporting and cultural services
42 - Scientific, technological and industrial services, research and design
Goods & Services
Educational services, namely, providing online continuing education courses, training programs, and instructional materials in the fields of behavioral health, substance use disorder treatment, mental health care, and clinical practice, for healthcare professionals and clinicians, and providing patient education services in the form of online educational information and materials in the fields of behavioral health, substance use disorder recovery, mental health, and wellness, and issuing certificates of completion and continuing education unit (CEU) credits to healthcare professionals and clinicians in connection with the foregoing courses and training programs. Providing online non-downloadable software for use by behavioral health professionals, healthcare practitioners, healthcare practice administrators, and patients, namely, software for electronic health records management, clinical documentation, patient scheduling, appointment management, telehealth and telemedicine services, outcomes measurement and measurement-based care, hosting and delivery of third-party educational content, continuing education credit tracking and management, and healthcare practice management, expressly excluding employment agency services, staffing services, recruiting services, and personnel placement services.
Intelligent data ingestion is provided. A determined column header name of a selected column in an imported data file is mapped to a predicted corresponding column header name of a particular column in a database corresponding to a human capital management application using a plurality of machine learning models. It is determined whether the predicted corresponding column header name output by each respective machine learning model of the plurality of machine learning models matches. In response to determining that the predicted corresponding column header name output by each respective machine learning model of the plurality of machine learning models does match, the predicted corresponding column header name of the particular column in the database is utilized as a target column name for the determined column header name of the selected column in the imported data file.
A system can include one or more processors to receive a compressed file, split the compressed first file into a first document and a second document, detect a first page, detect a second page, determine, based on a comparison of the first page with a plurality of stored formats, that the first page matches a first stored format of the plurality of stored formats, detect, using optical character recognition, a first field of the first page, determine, based on a comparison of the first field with a plurality of stored fields, that the first field matches a first stored field of the plurality of stored fields, extract, using optical character recognition, a first field value of the first field, and store, an association of the first field value to the first field, the first page, and the first document.
The present disclosure relates to a system and method of providing analysis of chatbot conversation paths, and more particularly, to a system and method which provides visual and data observation of conversation paths and related information to provide a more efficient means of analysis. The method includes: receiving, by a computer system, a plurality of conversational transcripts, converting, by the computer system, the plurality of conversational transcripts into a visualization which includes a plurality of branches representing different conversation paths for the plurality of conversational transcripts; and displaying, by the computer system, the visualization with the plurality of branches.
A method for fact retrieval includes receiving an input from a user, said input including a string of text that represents a user intent. The method includes performing natural language processing on the input to generate an embedding that corresponds to a semantic representation of the string of text, and based on the generated embedding, identifying an action that is associated with the user intent. The method includes executing the identified action, such that the executed action returns a result associated with the user intent, and providing the result to the user.
A system can include one or more memory devices that can store instructions thereon that, when executed by one or more processors, cause the one or more processors to receive a selection to indicate a request for a form for display via a user interface. The retrieved form can have a first format. The system can detect that the form is associated with several fields. Further, the system can transmit an Application Programming Interface (API) call to retrieve metadata to identify the fields to be included in the form. Based on the existing fields, and those identified from the retrieved metadata, the system can modify the form to have a second format, and display the form having the second format.
Technical solutions are directed to an intersystem configuration adjustment for periodic operation processing. A processor can receive, from an entity system, a value for a parameter of a client account. The system can determine, based on a configuration for an entity associated with the client account, to perform parameter adjustment according to a protocol of the configuration and identify a rule for parameter adjustment. The system can split, using the rule and based on an accumulated parameter value, the value for the parameter into component values. The system can assign, according to ranking of modifiers, a modifier to each of the components values and generate an adjusted parameter value. The system can command the processing system to execute a process for the client account and the time interval based on the adjusted parameter value.
Technical solutions are directed to automating processing using machine learning and graph structure based rules. A processor can identify a graph data structure that connects, using semantic edges, a plurality of components in accordance with a taxonomy. The processor can detect, using the graph data structure, a change to a protocol used to perform an operation comprising one or more electronic transactions between electronic accounts related to the plurality of components. The processor can generate, using the graph data structure, responsive to detection of the change, one or more rules to perform the operation in accordance with the change to the protocol. The processor can construct a prompt with the one or more rules and at least a portion of an electronic document. The processor can execute, using a model trained with a generative machine learning technique, the operation based on the prompt.
Systems and methods are provided for building personal protection equipment (PPE) rules. A live image may be received from a camera, where the live image is of a human body or a portion of the human body. A machine learning model may identify any body parts in the image for which PPE is usable. An augmented reality image may include the live image and an identifier object superimposed on any identified body parts, enabling a selection of a user-selected body part in the augmented reality image. PPE items usable for the user-selected body part may be added to the set of PPE required for a team. Systems and methods of safety compliance are provided that determine, by a machine learning model, a compliance score from the image, the compliance score indicating a degree to which the person is in compliance with PPE rules.
Technical solutions are directed to an intersystem configuration adjustment for periodic operation processing. A processor can receive, from an entity system, a value for a parameter of a client account. The system can determine, based on a configuration for an entity associated with the client account, to perform parameter adjustment according to a protocol of the configuration and identify a rule for parameter adjustment. The system can split, using the rule and based on an accumulated parameter value, the value for the parameter into component values. The system can assign, according to ranking of modifiers, a modifier to each of the components values and generate an adjusted parameter value. The system can command the processing system to execute a process for the client account and the time interval based on the adjusted parameter value.
Technical solutions are directed to automating processing using machine learning and graph structure based rules. A processor can identify a graph data structure that connects, using semantic edges, a plurality of components in accordance with a taxonomy. The processor can detect, using the graph data structure, a change to a protocol used to perform an operation comprising one or more electronic transactions between electronic accounts related to the plurality of components. The processor can generate, using the graph data structure, responsive to detection of the change, one or more rules to perform the operation in accordance with the change to the protocol. The processor can construct a prompt with the one or more rules and at least a portion of an electronic document. The processor can execute, using a model trained with a generative machine learning technique, the operation based on the prompt.
System and methods of this technology can provide a framework using machine learning based message generator. The framework can retrieve elapsed times according to computing devices executing an application. Once the elapsed times are retrieved, the framework can generate a total elapsed time that can indicate an average amount of time captured by the at least one computing devices. The framework can make a determination based on the total elapsed time and a threshold elapsed time. The threshold elapsed time can be generated from data associated with previous months, years, days, among other time periods. Upon determining that the total elapsed time is higher than the threshold elapsed time, the framework can generate instructions to display the metrics associated with the total elapsed time, on another computing device.
The technical solutions provide ML-based generation of queries and responses for operational frameworks of entities. A processor can identify queries of a processing frameworks for an entity and construct embeddings for the queries. Each embedding can correspond to a vector of a query of the plurality of queries that form a plurality of clusters in a vector space. The processor can generate, for each cluster, using API calls to ML models, a cluster query and a cluster response for the cluster query and store, in a storage, a mapping of each cluster query to each cluster response. The processor can receive, from a client, a request and select, using the mapping, the cluster response based on a relation between the cluster query and the request. The processor can provide, to the client, the selected cluster response responsive to the request.
System and methods of this technology can provide a framework using machine learning based message generator. The framework can retrieve elapsed times according to computing devices executing an application. Once the elapsed times are retrieved, the framework can generate a total elapsed time that can indicate an average amount of time captured by the at least one computing devices. The framework can make a determination based on the total elapsed time and a threshold elapsed time. The threshold elapsed time can be generated from data associated with previous months, years, days, among other time periods. Upon determining that the total elapsed time is higher than the threshold elapsed time, the framework can generate instructions to display the metrics associated with the total elapsed time, on another computing device.
Anomaly detection in cross-system operation is provided. A system can generate, using machine learning, predicted values related to a network operation for an object identifier at a first time interval. The system can identify, from one or more systems of records, a plurality of actual values output responsive to execution of the network operation at the first time interval. The system can determine a variance in at least one value of the plurality of actual values based on a comparison of the plurality of actual values and the plurality of predicted values. The system can detect, using the one or more models, an anomaly in the variance. The system can execute, responsive to detection of the anomaly, an action to update the one or more models based on the anomaly.
H04L 41/147 - Network analysis or design for predicting network behaviour
G06F 11/34 - Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation
G06Q 10/06 - Resources, workflows, human or project managementEnterprise or organisation planningEnterprise or organisation modelling
H04L 41/16 - Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks using machine learning or artificial intelligence
H04L 41/142 - Network analysis or design using statistical or mathematical methods
Anomaly detection in cross-system operation is provided. A system can generate, using machine learning, predicted values related to a network operation for an object identifier at a first time interval. The system can identify, from one or more systems of records, a plurality of actual values output responsive to execution of the network operation at the first time interval. The system can determine a variance in at least one value of the plurality of actual values based on a comparison of the plurality of actual values and the plurality of predicted values. The system can detect, using the one or more models, an anomaly in the variance. The system can execute, responsive to detection of the anomaly, an action to update the one or more models based on the anomaly.
H04L 41/0604 - Management of faults, events, alarms or notifications using filtering, e.g. reduction of information by using priority, element types, position or time
H04L 41/0859 - Retrieval of network configurationTracking network configuration history by keeping history of different configuration generations or by rolling back to previous configuration versions
H04L 47/125 - Avoiding congestionRecovering from congestion by balancing the load, e.g. traffic engineering
A method for accessing information. A computer system receives a request for a piece of the information stored in a location between client computer systems and sources of the information. The information has formats for the information in the location. The formats for the information are controlled by the sources of the information. Each of the sources is assigned to control a group of portions of the information in the location. The computer system identifies the piece of the information corresponding to the request. The computer system returns a response to the request for the piece of the information, enabling simplifying access to the information in different formats.
Systems and methods are provided for building personal protection equipment (PPE) rules. A live image may be received from a camera, where the live image is of a human body or a portion of the human body. A machine learning model may identify any body parts in the image for which PPE is usable. An augmented reality image may include the live image and an identifier object superimposed on any identified body parts, enabling a selection of a user-selected body part in the augmented reality image. PPE items usable for the user-selected body part may be added to the set of PPE required for a team. Systems and methods of safety compliance are provided that determine, by a machine learning model, a compliance score from the image, the compliance score indicating a degree to which the person is in compliance with PPE rules.
G06V 10/764 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
G06V 10/94 - Hardware or software architectures specially adapted for image or video understanding
G06V 40/10 - Human or animal bodies, e.g. vehicle occupants or pedestriansBody parts, e.g. hands
09 - Scientific and electric apparatus and instruments
35 - Advertising and business services
42 - Scientific, technological and industrial services, research and design
Goods & Services
Downloadable mobile application software for use in human capital management (HCM), human resources (HR) management and administration, employee benefits and retirement plan administration, and payroll processing, preparation, and administration Payroll processing, preparation and administration; Providing human capital management (HCM) services for others; Human resources (HR) management and administration; Administration of employee benefit plans concerning medical, dental, vision, and prescription drug plans, flexible spending plans, health reimbursement arrangements, and health saving accounts; Business services for others, namely, providing payroll preparation, administration of employee benefits plans concerning medical, dental, vision, and prescription drug plans, flexible spending plans, health reimbursement arrangements, and health saving accounts, human resources (HR) management Providing temporary use of online non-downloadable computer software for use in human capital management (HCM), human resources (HR) management and administration, employee benefits and retirement plan administration, and payroll processing, preparation, and administration
81.
SECURE COMPUTING INFRASTRUCTURE FOR ELECTRONIC MESSAGES
Secure computing infrastructure for electronic messages is described herein. A system can intercept an electronic message for transmission to a recipient device. The system can determine, prior to transmission of the electronic message for receipt by the recipient device, a category of the recipient device based on a domain name associated with an internet protocol address of the recipient device. The system can generate a plurality of content segments based on overlapping sequences of words in the electronic message. The system can identify, using machine learning models and based on the category of the recipient device, a security parameter to apply to the electronic message. The system can detect, using machine learning models, an incompatibility between a content segment and the security parameter. The system can block, responsive to the detection of the incompatibility, the transmission of the electronic message for receipt by the recipient device.
A system for automated query resolution using a multi-agent processing framework is described. The system includes one or more processors coupled with memory to generate, using one or more machine learning models and based on a query associated with an account, an embedding corresponding to a vector representation of the query. The system can perform, using the embedding, a vector semantic search in a vector space of a plurality of queries to identify documentation associated with the query and a matching question response pair. The system can identify, from a knowledge graph using the documentation and metadata, one or more entities related to the question response pair and one or more relationships between the entities. The system can select, from a plurality of agents, an agent to provide an interaction with the user to address the entities and relationships, and provide, via the processing framework, a response of the query response pair responsive to the interaction.
Systems and methods for generation of a REST API are provided. A graphical user interface for an end user application may be generated, where the graphical user interface includes a displayed property that corresponds to a stored property retrieved from a database. A property selection mode of the graphical user interface may be entered in response to a first user input. The displayed property may be added to a collection of properties for the REST API in response to a selection of the displayed property while in the property selection mode. The REST API may be generated in response to a second user input, wherein API properties of the REST API include all properties added to the collection of properties.
A system for automated query resolution using a multi-agent processing framework is described. The system includes one or more processors coupled with memory to generate, using one or more machine learning models and based on a query associated with an account, an embedding corresponding to a vector representation of the query. The system can perform, using the embedding, a vector semantic search in a vector space of a plurality of queries to identify documentation associated with the query and a matching question response pair. The system can identify, from a knowledge graph using the documentation and metadata, one or more entities related to the question response pair and one or more relationships between the entities. The system can select, from a plurality of agents, an agent to provide an interaction with the user to address the entities and relationships, and provide, via the processing framework, a response of the query response pair responsive to the interaction.
Systems and methods for generation of a REST API are provided. A graphical user interface for an end user application may be generated, where the graphical user interface includes a displayed property that corresponds to a stored property retrieved from a database. A property selection mode of the graphical user interface may be entered in response to a first user input. The displayed property may be added to a collection of properties for the REST API in response to a selection of the displayed property while in the property selection mode. The REST API may be generated in response to a second user input, wherein API properties of the REST API include all properties added to the collection of properties.
A system includes one or more processors to receive, from a first client system, a first message associated with a transfer of a data file, the first message in accordance with a predetermined protocol, execute a sequence of operations that authenticate the first client system to an application programming interface (API) gateway that controls access to a data storage, upload the data file from the first client system to the data storage, send, to a second client system, a notification in accordance with the predetermined protocol to cause the second client system to transmit a second message, receive the second message in accordance with the predetermined protocol, authenticate the second client system to the API gateway based on execution of the sequence of operations, and provide, to the second client system via the predetermined protocol, the data file to cause the second client system to download the data file.
H04L 67/06 - Protocols specially adapted for file transfer, e.g. file transfer protocol [FTP]
H04L 67/1074 - Peer-to-peer [P2P] networks for supporting data block transmission mechanisms
H04L 67/1097 - Protocols in which an application is distributed across nodes in the network for distributed storage of data in networks, e.g. transport arrangements for network file system [NFS], storage area networks [SAN] or network attached storage [NAS]
H04L 67/133 - Protocols for remote procedure calls [RPC]
An application database schema and rules for a software application may be created from a Universal Ontology Model (UOM). A UOM graph is created from the UOM, where the UOM graph is a graph data structure comprising nodes and edges. A System-specific Ontology Model (SOM) graph is created based on the UOM graph and country-specific metadata. A Domain-specific Ontology Model (DOM) graph is created based on the SOM and client specific data. The application database schema is created from the DOM graph. The rules are extracted from the DOM graph and stored in a rule registry.
Managing and applying human resources data comprising aggregating employee transaction data for an organization. A number of human resources-related attributes are evaluated across heterogeneous transaction data. The employee transaction data is classified via statistical machine learning into a number of normalized codes according to the human resources-related attributes, a user interface is presented to adjust a number of organizational operating procedures according to the normalized codes.
An application database schema and rules for a software application may be created from a Universal Ontology Model (UOM). A UOM graph is created from the UOM, where the UOM graph is a graph data structure comprising nodes and edges. A System-specific Ontology Model (SOM) graph is created based on the UOM graph and country-specific metadata. A Domain-specific Ontology Model (DOM) graph is created based on the SOM and client specific data. The application database schema is created from the DOM graph. The rules are extracted from the DOM graph and stored in a rule registry.
A payload including data may be received that is to be written to any of the entities included in an application database schema, where the application database schema governs storage of application data in a fluid database for a software application. A context for the payload is identified, where the context identifies an entity that is to be updated with the data in the payload. The context may include an attribute identifying a country and/or a client. Rules stored in a rule registry are searched and a set of rules is retrieved that matches the context for the payload. The rules are segregated according to context levels and are associated with the entities. The rules stored in the rule registry include logic executable to enforce the rules. The retrieved set of rules are enforced, in the payload received, by execution of the logic included in the set of rules retrieved.
09 - Scientific and electric apparatus and instruments
35 - Advertising and business services
42 - Scientific, technological and industrial services, research and design
Goods & Services
Downloadable mobile application software in the field of employer services for preparing and processing employee payroll Payroll processing, preparation, administration, and recordkeeping Providing temporary use of online non-downloadable computer software in the field of employer services for preparing and processing employee payroll
94.
Display screen or a portion thereof with a graphical user interface
This technology can provide a platform using one or more protocols to migrate and correct erroneous data. The platform can receive a data structure that includes a plurality of placeholders in accordance with payroll of an entity. The platform can obtain, identify, retrieve, or otherwise receive a template that includes references codes to classify each placeholder within the data structure. Upon classifying each placeholder, the platform can execute a protocol to perform a reverse search and fill the placeholders of the original data structure. For example, the platform can predict values for the placeholders and fill the predicted values for the placeholders’ using results of the reverse search associated with the predicted values. The platform can fill the placeholders with actual values to correct the erroneous data structure and transmit the data structure to a migration system.
Large language model architecture for delivering digital content is provided. A system can receive a query indicating a request for document objects, and criteria for selection of the document objects. The system obtains first data objects each having a first structure in a first format identifying portions of the one or more document objects. The first data objects can be searchable according to the one or more criteria via the first structure. The system provides input to a large language model (LLM) including the query, the first data objects, and second data objects. The second data objects can have a second structure in a second format that is compatible with the LLM. The system generates a reply to the query identifying a set of the one or more document objects that satisfies the one or more criteria for selection.
Large language model architecture for delivering digital content is provided. A system can receive a query indicating a request for document objects, and criteria for selection of the document objects. The system obtains first data objects each having a first structure in a first format identifying portions of the one or more document objects. The first data objects can be searchable according to the one or more criteria via the first structure. The system provides input to a large language model (LLM) including the query, the first data objects, and second data objects. The second data objects can have a second structure in a second format that is compatible with the LLM. The system generates a reply to the query identifying a set of the one or more document objects that satisfies the one or more criteria for selection.
Secure computing infrastructure for electronic messages is described herein. A system can intercept an electronic message for transmission to a recipient device. The system can determine, prior to transmission of the electronic message for receipt by the recipient device, a category of the recipient device based on a domain name associated with an internet protocol address of the recipient device. The system can generate a plurality of content segments based on overlapping sequences of words in the electronic message. The system can identify, using machine learning models and based on the category of the recipient device, a security parameter to apply to the electronic message. The system can detect, using machine learning models, an incompatibility between a content segment and the security parameter. The system can block, responsive to the detection of the incompatibility, the transmission of the electronic message for receipt by the recipient device.
A system can receive one or more documents. The system can determine, for a document, using a machine learning model, a classification of a type of the document and a confidence score associated with the classification, where the confidence score indicates a level of performance with which the machine learning model outputs the classification of the type of the document. For the document, the system can select a data extraction engine based on the confidence score, where the data extraction engine extracts data points from the document. The system can prioritize the extracted data points based on the confidence score associated with the document. The system can update a profile data structure in response to aggregating the prioritized extracted data points. The system can input the profile data structure into a payroll processing system to execute an operation in accordance with the updated profile data structure.
The technology described herein can provide a platform using one or more protocols to migrate and correct erroneous data. The platform can receive a data structure that includes a plurality of placeholders in accordance with payroll of an entity. The platform can obtain, identify, retrieve, or otherwise receive a template that includes references codes to classify each placeholder within the data structure. Upon classifying each placeholder, the platform can execute a protocol to perform a reverse search and fill the placeholders of the original data structure. For example, the platform can predict values for the placeholders and fill the predicted values for the placeholders’ using results of the reverse search associated with the predicted values. The platform can fill the placeholders with actual values to correct the erroneous data structure and transmit the data structure to a migration system.
