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.
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 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.
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.
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
11.
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
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.
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.
30.
SYSTEMS AND METHODS FOR OPTICAL CHARACTER RECOGNITION
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.
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.
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.
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.
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
44.
MULTI-AGENT PROCESSING FRAMEWORK FOR AUTOMATED QUERY RESOLUTION
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]
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.
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.
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.
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.
Systems and methods for an integrated development environment (IDE) are provided. The system may include a common core and a model-view-adapter (MVA) plugin. The common core is executable to transfer data objects to and/or from a metadata database over a network, where the common core is executable within an IDE configured to customize a customizable application, and where application logic of the customizable application is configured to customize aspects of the customizable application based on the data objects. The MVA plugin is executable to generate a visualization of and/or edit a data object of a data object type. The MVA plugin includes a MDO controller, a MDO view, and a MDO adapter. The MDO controller is executable to control the data object in response to IDE events received from the MDO adapter. The MDO view is executable generate the visualization of the data object via the MDO adapter.
An anomaly detection and transaction integrity platform is provided. A system receives data for profiles linked with accounts of an entity. The data indicates first historical data of first interactions of accounts with a first computing system, and second historical data indicative of second interactions of accounts with a second computing system. The system generates, using one or more models trained with machine learning, a metric indicative of a pattern of transactions. The system determines, based on a comparison of a value of the metric with a threshold, to invoke an automated process via the payroll processing system to modify at least one of the metric or the threshold. The system selects, using the one or more models, an action to execute via the automated process that modifies the metric or the threshold. The system commands, via the automated process, the payroll processing system to execute the action.
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
60.
SYSTEM AND METHOD FOR QUERY AUTHORIZATION AND RESPONSE GENERATION USING MACHINE LEARNING
Systems, methods, and computer-readable storage media for responding to a query using a neural network and natural language processing. If necessary, the system can request disambiguation, then parse the query using a trained machine-learning classifier, resulting in at least one of an identified subject or an identified domain of the text query. The system can determine if the user is authorized to retrieve answers to the query and, if so, retrieve factual data associated with the query. The system can then retrieve a response template, and fill in the template with the retrieved facts. The system can then determine, by executing a machine comprehension model on the filled response template, a probable readability token, portion of text, of at least a portion of the filled response template and, upon identifying that the probable readability is above a threshold, reply to the text query with the at least a portion of the filled response template.
The present disclosure relates generally to tools to determine a user's intent and, more particularly, to a system, method and computer program product to generate a report template based on user's intent. The method includes: extracting, by a computer system, text and user selected features from one or more reports built in a reporting application; classifying, by the computer system, keywords in the text and the select features; identifying, by the computer system, common keywords and associated selected features within the one or more reports; determining, by the computer system, an intent of the user based on the common keywords and associated selected features; and generating, by the computer system, a report template with prepopulated features of the selected features based on the intent of the user.
G06V 30/262 - Techniques for post-processing, e.g. correcting the recognition result using context analysis, e.g. lexical, syntactic or semantic context
Disclosed are various embodiments for automated translations for autonomous chat agents. A build service can send a translation request to a machine translation service, the translation request comprising training data in a first language and the translation request specifying a second language. The build service can then receive translated training data from the machine translation service, the translated training data having been translated from the training data into the second language. Next, the build service can create a translated workflow that comprises a translated machine learning model and a translated intent. Subsequently, the build service can add the translated training data to the translated workflow and train the translated machine learning model using the translated training data.
A status and monitoring platform for resource bandwidth is provided. A system can retrieve, responsive to a request for bandwidth of a resource, a data set that can include at least one constraint related to the resource and historic utilization of the resource. The system can construct, based on the data set, a data structure to replace the request. Based on the data structure, the system can generate a prompt indicating the constraint and the historic utilization. The system can identify, based on the prompt, a model trained with generative artificial intelligence to determine resource bandwidth. The system can input the prompt into the model to generate an output that indicates the bandwidth of the resource and validate the output based on a comparison with a threshold. The system can transmit for display, via an interface, responsive to the validation, an indication of resource bandwidth output by the model.
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 41/22 - Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks comprising specially adapted graphical user interfaces [GUI]
H04L 43/0876 - Network utilisation, e.g. volume of load or congestion level
65.
Display screen or a portion thereof with a graphical user interface
A system includes one or more processors to identify an application configured to access a plurality of products using a plurality of application programming interfaces (APIs) that are agnostic to the plurality of products. A first product of the plurality of products is accessed using one or more APIs of the plurality of APIs. The one or more processors access, responsive to a request to execute at least one product of the plurality of products, data identified by the plurality of APIs, select at least a portion of the data identified by the plurality of APIs, transmit the at least the portion of the data to the at least one product to cause the at least one product to perform an operation using the at least the portion of the data, and provide an indication associated with the performance of the operation by the at least one product.
Systems and methods are described for dynamic and predictive pricing for ecommerce systems and brick-and-mortar retail businesses for a selected geographic location or territory. In one example, a system comprises a computing device that is configured to receive a request to display a network page of an item on a client device. The computing device is further configured to determine a geographic location of the client device and determine a price for the item using a machine learning model based at least in part on the geographic location. The network page is displayed on the client device to include the price of the item.
A system can include one or more processors, coupled with memory, to automatically execute a data replication tool on at least one data instance to generate at least one replicated data instance, push a status of a data instance of the at least one data instance to a data stream associated with the data replication tool, detect a difference between a first structure of a replicated data instance of the at least one replicated data instance and a second structure of a target database, identify a model configured to update the first structure of the replicated data instance to correspond to the second structure of the target database, provide the replicated data instance to the target database, and store, in a data storage, configuration information regarding a status, owner, or action associated with the target database.
G06F 16/27 - Replication, distribution or synchronisation of data between databases or within a distributed database systemDistributed database system architectures therefor
G06F 9/455 - EmulationInterpretationSoftware simulation, e.g. virtualisation or emulation of application or operating system execution engines
G06F 9/50 - Allocation of resources, e.g. of the central processing unit [CPU]
This application is directed to constructing a knowledge graph using generative artificial intelligence. A system can include one or more processors coupled with memory to identify a plurality of items of unstructured data. The system can provide, for one or more generative artificial intelligence models, a first prompt to cause the models to output a plurality of first level categories of a hierarchical data structure for the items. The system can receive the first level categories, each corresponding to a subset of the items grouped by semantic similarity, and evaluate each category according to taxonomy criteria. The system can provide a second prompt to generate second level categories for each first level category, receive the second level categories, and construct a knowledge graph data structure linking the categories and their respective subsets to relate each item of unstructured data with corresponding categories according to the hierarchical data structure.
A method, apparatus, system, and computer program product for processing an on-demand payroll request. In one illustrative example, an on-demand payroll microservice receives a request for an unscheduled payroll for an employee. The on-demand payroll microservice retrieves payroll information for the employee from a first set of microservices. The on-demand payroll microservice submits the payroll information to a second set of microservices for payroll calculations. In response to the second set of microservices completing the payroll calculations, the on-demand payroll microservice retrieves the payroll calculations through the first set of microservices. The on-demand payroll microservice displays the payroll calculations. In response to receiving approval of the unscheduled payroll, the on-demand payroll microservice submits the payroll calculations to the second set of microservices for payroll processing. In response to the second set of microservices completing the payroll processing, the on-demand payroll microservice displays a confirmation of the payroll processing.
G06Q 10/067 - Enterprise or organisation modelling
G06Q 10/1057 - Benefits or employee welfare, e.g. insurance, holiday or retirement packages
G06Q 10/1091 - Recording time for administrative or management purposes
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
G06Q 20/42 - Confirmation, e.g. check or permission by the legal debtor of payment
A method for automated web resource deployment is provided. The method comprises creating web resource publication requests, wherein each web resource publication request comprises a number of configuration changes necessary to publish a web resource, on a network, at a particular uniform resource location. A standard format, validation workflow, and an approval workflow are provided for automation of the web resource publication requests. Once validated and approved, web resource publication requests are automatically converted to API calls which are executed on backend servers to implement the configuration changes required in the environment without further human intervention.
H04L 41/22 - Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks comprising specially adapted graphical user interfaces [GUI]
A system includes one or more processors to transmit, to a client device, data to cause the client device to display a first interface including a plurality of software products, receive, via the first interface, a selection of a software product of the plurality of software products, wherein the software product includes software code stored in a plurality of data repositories, transmit, to the client device, data to cause the client device to display a second interface including the plurality of data repositories, scan at least one data repository of the plurality of data repositories selected via the second interface to detect one or more security vulnerabilities in a development branch corresponding to the at least one data repository, and generate, for display via the second interface, a security notification related to the one or more security vulnerabilities detected in the development branch.
G06F 21/57 - Certifying or maintaining trusted computer platforms, e.g. secure boots or power-downs, version controls, system software checks, secure updates or assessing vulnerabilities
The present disclosure relates generally to computer systems and, more particularly, to a cache refresh system and related processes and methods of use. The method of refreshing data in cache memory includes: setting, by a computer system, a refresh indicator to “true”; refreshing data in the cache memory, by the computer system, upon a determination that the refresh indicator is set to “true”; and setting, by the computer system, the refresh indicator to “false” after the refreshing of the cache memory.
A system includes one or more processors to identify a first plurality of attributes associated with a first opening and an entity structure, identify a second plurality of attributes associated with a plurality of positions and one or more entity structures, identify a target item missing from a metadata representation of a candidate for a second opening within the entity structure, execute an automated interview process for the candidate, generate an updated metadata representation of the candidate based on a value for the target item, and provide data of the candidate for display via an interface of a device of the entity structure.
Systems and methods are provided in which topic segments are generated from a product feedback data with a topic segmentation model, where the topic segments include segments of text from the product feedback data in which topics are discussed, and where the topic segments correspond to technical issues with a product. Sentiments expressed in the topic segments about the technical issues may be generated, the sentiments providing an indication of negative or positive emotion expressed in the topic segments about the technical issues. A diagram of the topics may be generated from the sentiments. A technical issue having a high degree of negative emotion expressed about the technical issue may be identified from the diagram based on an image classification model. A resource allocation may be generated to resolve the technical issue identified by the image classification model.
A system can include one or more processors, coupled with memory, to select a plurality of intents associated with an input and having confidence scores between a first threshold level and a second threshold level. The one or more processors to determine that a first intent of the plurality of intents is missing from an intent mapping table. The one or more processors to update the intent mapping table to include a label generated for the first intent. The one or more processors to generate a plurality of elements for display via a chatbot interface including the label generated for the first intent and labels for a subset of the plurality of intents. The one or more processors to transmit data to cause a client device to update the chatbot interface to include the plurality of elements in response to the input.
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
77.
SYSTEM AND METHOD FOR RECOMMENDING COMPUTATIONAL COMMANDS BASED ON A WEIGHTED, RANKED HIERARCHICAL GRAPH
Systems, methods, and computer-readable storage media for recommending computational commands based on a weighted, ranked hierarchical graph. The system converts a map of intended user actions to canonical actions (commands) into a graph representation. Then, via a chatbot algorithm, the system receives an initial intent as a request by a user of the chatbot algorithm. Based on the popularity of alternative canonical actions, the system makes recommendations of alternative actions which are similar to the initial intent provided by the user.
Disclosed are various embodiments for delegating tasks in an enterprise service. A user can associate an action or task within the enterprise service with a delegate. The user can also specify temporal restrictions with the delegation of the task. The temporal restrictions specified time limitations on the authority of the delegate.
AI gateways are provided. An AI service request for an AI model may be received by an AI gateway from a client. The AI service request may be routed to an AI model deployment, where routing the AI service request includes selecting the AI model deployment from AI model deployments based on a quality of service.
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 47/215 - Flow controlCongestion control using token-bucket
82.
AI Gateway - Normalization of LLM KPIs and Metadata for Observability
AI gateways are provided. An AI service request for an AI model may be received by an AI gateway from a client. The AI service request may be routed to an AI model deployment, where routing the AI service request includes selecting the AI model deployment from AI model deployments based on a quality of service. Performance data may be captured from the processing of the AI service request by the AI model deployment.
Synthetic testing systems are provided for testing AI model deployments. A test execution module may be executable by the processor to perform a synthetic test on at least one of a set of AI model deployments. The synthetic test may include a transmission of a request for an AI model to at least one of the AI model deployments, where the request includes an input prompt comprising predefined test data.
Technical solutions are directed to a computing architecture for determining user characteristics from interactions with user interface and customizing application-generated content according to the user characteristics. A system can detect interactions with elements of content in a user interface and identify, based on interactions input into a model, a characteristic associated with the account. The system can receive a first content for a human capital management service to be displayed using a graphical user interface, the first content generated by an application. The system can generate, based at least on the first content, an arrangement of elements according to the characteristic and display, on the graphical user interface, the arrangement of elements.
A method, apparatus, system, and computer program product are provided for managing the usage of verified credentials. An issuer of credentials receives a request from a person for a credential. The issuer identifies the credential from information that is controlled by the issuer. The issuer identifies a decentralized identifier (DID) record for an audit engine from a blockchain network. The DID record for the audit engine includes a public key of that is associated with the audit engine. The issuer identifies a DID record for the person from the blockchain network. The DID record for the person includes a public key that is associated with the person. The issuer generates an encrypted credential by encrypting the credential and the DID record for the person based on the public key associated with the audit engine. The issuer sends the encrypted credential to the person.
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 9/06 - Arrangements for secret or secure communicationsNetwork security protocols the encryption apparatus using shift registers or memories for blockwise coding, e.g. D.E.S. systems
A system can include one or more processors to identify a first and second plurality of nodes in a first and second graphical representation of a first and second electronic event, cause a display of a graphical user interface including graphical elements that display information associated with the nodes, generate a notification of a change in a node value, determine a factor causing the change in the node value by applying a rule, generate a first graphical element corresponding to a first explanation for the change in the node value based on the factor and a second graphical element corresponding to a second explanation for the change in the node value based on the rule, organize the first explanation and the second explanation in a hierarchy based on the first and second explanation having a first and second level, and cause a display of the first and second graphical element.
Carbon emission reduction using machine learning is provided. A system receives data for profiles linked with locations of an entity. The system determines, based at least in part on data from a utility service provider system and the data indicative of energy consumption associated with the locations, a first value of a metric indicative of carbon emissions associated with the locations. The system determines, based on a comparison of the first value of the metric with a threshold, to invoke an automated process via the payroll processing system to reduce the metric. The system generates, generate, using one or more models trained with machine learning, an action to execute via the automated process. The system selects a first profile from that is compatible with the action, and commands the payroll processing system to execute the generated action to cause a reduction in the first value of the metric.
A system for matchmaking using a conversational agnostic matchmaking model is described. The system can receive a first query indicating a request for document objects and including criteria for selection of the document objects. The system can identify named entities from portions of the first query. The system can generate a second query to obtain the document objects, in response to the named entities being indicative of a context for the first query. The system can obtain the document objects according to the second query. The system can generate a reply to the first query including a description object and the documents, the description object based on the first query. The system can cause a user interface to present the reply to the first query and the description object.
A method, a computer system, and a computer program product for communicating employment opportunities to job candidates. A recruiting system receives a job posting from an organization communicating over a first network. The recruiting system matches the job requirements in the job posting to a candidate profile. The recruiting system identifies a mobile device associated with the candidate profile, and an interaction template that describes a conversational flow of messages for soliciting an application for the job from a job candidate. A dialogue is initiated with the mobile device, by sending a transmission object built from a message in the interaction template. A response received from the mobile device based on rules that describe a conversational flow for the interaction template. If the response is positive, the recruiting system submits the user as a candidate for the job by posting the information in the response to the organization.
A method, apparatus, system, and computer program product provide visual verification of electronic data. A computer system accesses an electronic document. The computer system parses the electronic document to identify an assertion about a person. The computer system identifies an organization that maintains records capable of sustaining the assertion. The computer system sends a request to the organization to search for information about the person that substantiates the assertion. In response to receiving a reply that substantiates the assertion, the computer system generates a verification badge in the context of the organization. The computer system transforms the electronic document to display a verified document that associates the verification badge with the assertion. The computer system displays the verified document, including the verification badge in association with the assertion.
G06Q 50/00 - Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
Aspects of this technical solution can identify a request to transmit a data structure to an electronic address, where the request includes a first unique key for a first account that generates the data structure, and a second unique key for a second account for the electronic address, determine, from the second unique key, that the electronic address is authorized to receive the data structure, provide, responsive to the electronic address being authorized to receive the data structure, the data structure for storage on the data repository, identify a location of the data structure stored on the data repository, generate, from the location, a uniform resource link configured for access via the second account, and transmit the uniform resource link to a device for the second account to cause, responsive to an interaction with the uniform resource link, the device to access the data structure located on the data repository.
Attention embedded transformer network driven document data extraction is provided. For example, a system integrates one or more processors with a data repository to identify a document of a first type received from a client device. The system determines a portion of the document based on a boundary established by a digital overlay. The system generates, via a trained machine learning model, a query using the portion of the document determined based on the boundary, wherein the query is designed to facilitate an extraction of data relating to the first type. The system inputs the query into a trained attention embedded transformer network model to extract data from the document, the extracted data including at least the extraction of data relating to the first type. The system displays, via the client device, the extracted data.
The technical solutions described herein present a computing action search using natural language processing. A system can identify a request containing an executable action associated with a first account identifier of a client system and select a prompt that corresponds to the action, is structured as text including fields, and identifies compatible actions corresponding to the client system or the first account identifier. The system can embed content, including text or metadata, of the first account identifier into the fields of the prompt. The system can provide the prompt to a model and obtain a response from the model indicating a recommended action and a second account identifier associated with the recommended action. The system can validate that the recommended action corresponds to the compatible actions, and the second account identifier corresponds to the first account identifier and execute, responsive to validation, the recommended action for the first account identifier.
The present disclosure relates generally to data extraction of complex documents and, more particularly, to systems, processes and computer program products configured to automatically extract unstructured data from complex documents and perform table understanding on the extracted data. For example, the method includes: detecting, by the computer system, one or more tables within a digitized document; classifying, by the computer system, the one or more detected tables into at least a first table type; identifying, by the computer system, headers within the first table type; extracting, by the computer system, data within the headers and body cells of the first table type; and mapping, by the computer system, a relationship between the extracted data within the headers and the body cells.
Predicting cacheable queries is provided. For example, a system can one or more processors, coupled with memory, to generate a plurality of predicted requests based on one or more requests received from a client device. The system can compute a metric associated with retrieving data for a respective predicted request from a database. The system can select a subset of predicted requests from the plurality of predicted requests based on the metric corresponding to each predicted request and a threshold metric. The system can generate labels classifying the subset of predicted requests. The system can store, using the labels, data from the database for the subset of predicted requests in a cache store. The system can transmit, responsive to receiving a client request matching a predicted request of the subset of predicted requests, corresponding data from the cache store.
A system includes one or more processors, coupled with memory, to identify, from a data repository, one or more states corresponding to a distribution of data learned by a neural network model, the neural network model trained using non-anomalous entries of a transaction type. The one more processors generate a plurality of predicted values based on the non-anomalous entries and the one or more states. The one or more processors determine an error range including an upper bound and a lower bound for the transaction type. The one or more processors receive an additional data entry of the transaction type. The one or more processors detect an anomaly by comparing a value of the additional data entry with the error range. The one or more processors cause, responsive to detection of the anomaly, a display, on a display device, of a notification that corresponds to the detected anomaly.
Technical solutions provide a processor to identify a subset of data fields for inclusion into an electronic data structure and a sequential order in which the data fields are selected. The processor can determine a context of the electronic data structure based on the identified subset and the sequential order and identify, using the determined context, an index for an existing electronic data structure. The processor can retrieve values corresponding to the additional data fields of the existing data structure and include, in the electronic data structure, the additional data fields and the retrieved values to create an updated electronic data structure. The processor can cause display of the additional data fields for the updated electronic data structure, generate the updated electronic data structure including the selected additional data field and a retrieved value and cause display of the updated electronic data structure in accordance with the selection.
G06Q 10/0637 - Strategic management or analysis, e.g. setting a goal or target of an organisationPlanning actions based on goalsAnalysis or evaluation of effectiveness of goals
G06F 3/0482 - Interaction with lists of selectable items, e.g. menus
Predicting impact scenarios is provided. For example, a system integrates one or more processors with a data repository. The system receives a data set including resource utilization of a structure of entities including nodes. The nodes define related entities of the structure of entities using one or more parameters correlated to the data set. The system receives a criteria defining a change in the data set. The system generates a scenario including impacts to a performance of the structure of entities. The system determines that one or more impacts are above a threshold for a first node of the nodes. The system presents the scenario including the one or more impacts to the first node. The system executes an action associated with the scenario for the structure of entities.
G06Q 10/0637 - Strategic management or analysis, e.g. setting a goal or target of an organisationPlanning actions based on goalsAnalysis or evaluation of effectiveness of goals
Embodiments present different password-less sign-in alternatives for selection by the user for a subsequent future login to the service provider account interface, and in response to determining that data inputs from a user satisfy associated data requests, enable the selected password-less sign-in alternative for a subsequent login of the user into the service provider account interface, wherein the subsequent login of the user into service provider account interface via the enabled selected password-less sign-in alternative does not require the user to enter the password.
The technical solution provides thermal management of data centers using containment curtains with thermographic material layers configured to change color in response to temperature changes. The solutions can identify, using video data, a layer of thermographic material applied on a portion of a material of a curtain disposed adjacent to a cabinet housing a plurality of computing devices configured to process requests and generate heat. The solutions can detect that a color of a portion of a layer of thermographic material is indicative of a temperature of a flow of air impacted by the heat. The solutions can determine, using the color and the location input into one or more machine learning (ML) models trained on the plurality of colors of a plurality of thermographic materials on a plurality of curtains adjacent to cabinets housing computing devices, that a computing device of the plurality of computing devices generates the heat that impacts the flow of air toward the portion of the layer. The solutions can load balance the requests across the plurality of computing devices responsive to the determination.
H05K 7/20 - Modifications to facilitate cooling, ventilating, or heating
G01K 11/12 - Measuring temperature based on physical or chemical changes not covered by group , , , or using changes in colour, translucency or reflectance
G01K 13/024 - Thermometers specially adapted for specific purposes for measuring temperature of moving fluids or granular materials capable of flow of moving gases
