A computerized method is provided for real-time aggregation, curation, enrichment, and streaming of event-based notifications from various back-end systems to client user devices or web sessions via a persistent, stateful connection.
Methods and apparatuses for synchronizing data recovery files in cloud-based database management platforms include a server that allocates physical storage media for database management platforms hosted in a cloud computing environment and attaches a source database management platform in a first region of the environment to the allocated storage media. The server attaches a target database management platform in a second region of the environment to the allocated storage media. The server establishes a periodic replication job between the source database management platform and the target database management platform, including validating change files associated with differential data changes in a primary database instance and transmitting the validated change files to the target database management platform for replication in a secondary database instance.
G06F 16/178 - Techniques for file synchronisation in file systems
G06F 11/14 - Error detection or correction of the data by redundancy in operation, e.g. by using different operation sequences leading to the same result
Methods and apparatuses are described for a dual screen extended reality (XR) headset device, including a first display screen viewable by a wearer of the headset device and a second display screen on an external surface of the headset device and viewable by other persons in proximity to the wearer. The headset device generates a virtual environment for display to the wearer via the first display screen. The headset device captures data associated with execution of the software application, data associated with the virtual environment being displayed to the wearer, and data associated with the wearer. The headset device displays a user interface based upon at least a portion of the captured data on the second display screen, and detects input associated with the user interface displayed on the second display screen. The headset device updates the virtual environment and access to software features based upon the detected input.
Methods and apparatuses in which unstructured computer text is analyzed for generation of a structured conversation flow for a conversation service application include a server that extracts a sequence of questions from historical voice call transcripts. The server converts each of the extracted questions into a multidimensional embedding using a sentence transformer. The server clusters the multidimensional embeddings into question clusters using a similarity measure algorithm. Each of the question clusters is assigned a cluster identification label. The server generates, for each historical voice call transcript, a sequence of cluster identification labels corresponding to the sequence of questions. The server creates a conversation flow graph for each historical voice call transcript based upon the associated sequence of cluster identification labels.
A computerized method is provided for leveraging generative AI and large language models to create and implement a client experience associate training system. Reinforcement learning from human and other feedback can be used to generate the training simulator for a variety of specific service groups. Systems and methods can include a training program building component operable to build a training program using AI and/or LLMs from the uploaded training materials of various file types. In some embodiments, systems and methods can include running the training program, after building, to simulate customer interactions across a variety of channels including chat, voice, video and email. In some embodiments, the training program can automatically evaluate the trainee response and provide coaching tips.
A computerized method is provided for generating digital twins from customer data in order to test hypotheses and analyze customer outcomes. Digital twins, created on an individual customer basis, can accurately predict the impact of various customer experiences on different measures of customer outcomes. Parallel computing and efficient matching algorithms allow for reduced costs and greater availability for customer outcome analysis.
SYSTEMS, METHODS, AND MEDIA FOR COMPARING VARIATIONS OF ELECTRONIC CONTENT IN RELATION TO A MEASURED METRIC AND/OR GENERATING A CAUSAL MODEL TO CALCULATE THE EFFECT OF AN INPUT VARIABLE ON A DESIRED OUTCOME
In an embodiment, a feature that is different between variations of web-based electronic content can be determined to be a true and significant cause of a difference of a measured metric when three conditions are met. The three conditions may be satisfied when a probability value for a false positive is less than a false positive threshold value, a statistical power is greater than a statistical power threshold value, and a difference between mean values determined for distributions is greater than a mean threshold value. In a further embodiment, and when there is no control group, a causal model can be generated for different interventions or values related to a desired outcome. The causal model can be executed to determine which intervention is most impactful on the desired outcome and/or to determine an overall impact of a categorical variable on the desired outcome.
Methods and apparatuses for automated conversion of source database schema into data models for cloud-based data analytics platforms include a server computing device that identifies database schema including one or more database tables in a source database for conversion and extracts metadata and schema information associated with the identified database schema from the source database. The server computing device converts the extracted metadata into a form compatible with a target cloud data analytics platform. The server computing device generates, using the converted metadata and the schema information, one or more code scripts comprising programmatic instructions to create a data model in the target cloud data analytics platform that is representative of the identified database schema. The server computing device executes the code scripts to create the data model in the target cloud data analytics platform and validates the created data model in the target cloud data analytics platform using the executed code scripts.
36 - Financial, insurance and real estate services
41 - Education, entertainment, sporting and cultural services
45 - Legal and security services; personal services for individuals.
Goods & Services
Providing information online in the field of wealth management relating to intrafamily relationships and intergenerational wealth; providing information in the field of wealth management; financial advisory services, namely, wealth preservation and intergenerational wealth transfer planning services Production and distribution of videos in the field of family management and relationships; publication of on-line non-downloadable articles in the field of family management and relationships; publication of on-line newsletters in the field of family management and relationships; online publication of blogs in the field of family management and relationships; education services, namely, production and distribution of non-downloadable webinars in the field of family management and relationships; entertainment services, namely, production and distribution of podcasts in the field of family management and relationships Providing a website featuring information in the fields of personal relationships and personal relationship communication practices and services
A computerized method is provided for automated routing of active virtual private network sessions. Methods can include modules to actively monitor, through periodic polling, internal connections to remote resources for the site of a VPN appliance. Upon detecting sufficiently impaired connectivity via the internal connection, the VPN connections optimization tool can automatically disable the external interface on affected VPN appliances to force disconnections of VPN clients and rerouting to available VPN appliances with functioning internal links.
09 - Scientific and electric apparatus and instruments
42 - Scientific, technological and industrial services, research and design
Goods & Services
Downloadable computer software using artificial intelligence for review and approval of public communications; downloadable computer software that uses artificial intelligence models to quickly scan, score and analyze sales brochures, fact sheets, infographics, whitepapers, financial reports, flyers and social media content, and generates a risk analysis report based on analyzed data; downloadable computer software, accessible via application programming interfaces (apis), for review and approval of communications and documents. Providing temporary use of online non-downloadable computer software using artificial intelligence for review and approval of public communications; providing temporary use of online non-downloadable computer software that uses artificial intelligence models to quickly scan, score and analyze sales brochures, fact sheets, infographics, whitepapers, financial reports, flyers and social media content, and generates a risk analysis report based on analyzed data; providing temporary use of online non-downloadable computer software, accessible via application programming interfaces (apis), for review and approval of communications and documents; software as a service (saas) featuring software for use in business and financial risk management, namely regulatory compliance, financial crimes compliance, business intelligence, market and collateral risk management, identity management, personnel screening and background investigations, fraud prevention and detection, regulatory compliance analytics, customer due diligence, third- and fourth-party risk management, corporate protective intelligence, hospitality, and travel safety.
13.
SYSTEMS AND METHODS FOR IMPROVING SELECTION OF CONTROL SET
Systems and methods are described for improving the selection of one or more control sets based on a test set. More specifically, one or more match sets, each having one or more entities, are generated for the test entities in the test set. Then, an entity combination is generated for each possible combination of the entities in the one or more match sets. The entity combinations that are most similar to the test set are determined to be the control sets.
Systems and methods are described for improving accuracy of plans for allocating resources. A server computing device may be configured to determine a recommended plan that allows a user to accomplish his or her objective or goal. The recommended plan may be selected from one or more plan options that are generated by inputting a machine learning model with user data from one or more databases and one or more plan templates. The recommended plan determines a specific amount of resources to transfer from a first user account to a second user account at a predetermined time interval until the objective or goal is reached.
09 - Scientific and electric apparatus and instruments
Goods & Services
Downloadable Software in the nature of a mobile application for offering peer-to-peer networking and consulting, group administration, in the area of thought leadership for adults; conducting business and market research surveys; adult educational group moderation, and business education in the field of thought leadership for adults
16.
Systems and methods for improving access control for software application
Systems and methods are described for improving access control for a software application. A cloud platform may include a software application and an authorization sidecar. When a user attempts to access a resource, of the software application, that is associated with a first security level, the authorization sidecar performs authorization on the user based on a general authorization procedure and a specific authorization procedure. The user has access to the resource associated with the first security level after being authorized. When a user attempts to access a resource, of the software application, that is associated with a second security level, the authorization sidecar performs authorization on the user based on the general authorization procedure. The user has access to the resource associated with the second security level after being authorized.
A computerized method is provided for augmenting web pages and other content displayed on a traditional monitor with content in an AR environment. In various embodiments, a user can interact with objects in the AR environment to trigger changes to content or objects in the traditionally displayed content on the monitor. In some embodiments, the traditionally displayed content can automatically trigger AR supplementation or may detect private or sensitive information and automatically transfer that information from the traditional display to the AR environment to prevent unwanted viewing by third-parties.
A computerized method is provided for automated deletion of data. Methods can include identification of personally identifiable information (PII) or other data that may be subject to regulation. Methods can include creating an encrypted record of deletion for future verification. In some embodiments, the record may include PII and the record may be encrypted via a one-way cryptographic hash such that foreknowledge of the PII is required to search the deletion record.
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
19.
MULTI-DOCUMENT ANALYSIS AND DATA VALIDATION DURING AN ELECTRONIC TRANSACTION WORKFLOW
Methods and apparatuses for multi-document analysis and data validation during an electronic transaction workflow include a server that selects a transaction template comprising (i) data fields required to execute the transaction and (ii) business logic for validating supporting documents. The server captures digital files that contain a representation of supporting documents, identifies text in each of the captured digital files, and validates the text identified in the captured digital files using business logic. The server submits a transaction execution request including the digital files to a transaction engine and transmits a response to the transaction request to a remote computing device.
A computerized method is provided for using large language models to integrate data from multiple sources including technical metadata (e.g. column and table names) with a dictionary of standard abbreviations employed in the metadata, representative data from the columns rows of the table, a business glossary of terms in the data, and representative queries used to interrogate the data, to create a non-technical or natural language description of business value of the table and its columns and data.
Systems and methods are described for authenticating qualifications to prevent fraud. A server computing device may be configured to issue qualifications on behalf of a first entity, in which such qualifications are stored or recorded on the blockchain via a smart contract. More specifically, a second entity may request the issuance of a qualification by fulfilling one or more conditions that are associated with the qualification. In response, the server computing device may generate a smart contract on the blockchain that executes upon the fulfillment of the one or more conditions. The execution of the smart contract causes a qualification to be stored on the blockchain, which is associated with the second entity.
A computer-implemented method is provided for scheduling employees' attendance to an office and allocating office space to accommodate the employees. The method includes assigning each of the employees to a plurality of employee teams based on enterprise information received. The method also includes allowing a user to adjust multiple optimization controls including one or more team group controls, scheduling controls and space controls. Each of the optimization controls represents at least one of a constraint that must be satisfied or a constraint satisfaction of which is optional. The method further including executing an optimization algorithm to simultaneously schedule the employee teams' attendance to the office over one or more periods of time while allocating a plurality of office space zones to the employee teams during the one or more periods of time. The optimization algorithm receives as inputs information about the employee teams, office space data and the optimization controls.
G06Q 10/04 - Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
G06Q 10/0631 - Resource planning, allocation, distributing or scheduling for enterprises or organisations
A computer-implemented method is provided for enforcing data access control policies in a hierarchical structure of a plurality of entities. The method includes receiving a data access request from a client in association with a target entity in the hierarchical structure and generating, by a security gateway, an internal access token comprising a business context that determines an identification of the target entity associated with the client and a data partition in the database corresponding to the target entity. The method also includes verifying, by a data access layer of a microservice module, the data access request against the data access control policies for the hierarchical structure using the internal access token to determine one or more permitted data partitions for access by the client. The method further includes granting the client access to the permitted data partitions if the verifying is successful.
Methods and apparatuses for automated engagement of technical incident response teams using artificial intelligence include a server that receives an incident response request including unstructured computer text comprising a description of an active technical incident and a requested incident response team. The server converts the unstructured computer text into a first vector and compares the first vector to historical vectors generated from incident descriptions contained in historical incident tickets, each historical incident ticket having an assigned incident response team. The server generates a similarity score for each historical incident ticket based upon the comparison between the corresponding historical vector and the first vector and identifies proposed incident response teams using the assigned teams from the historical incident tickets that have a similarity score above a threshold. The server connects to computing devices of team members on the proposed teams to establish a communication channel for the active technical incident.
Methods and apparatuses for web browsing data visualization in a 3D virtual environment include a computing device that renders a first panel in the 3D virtual environment to display to a user a first webpage associated with a first URL. The computing device stores a first identifier associated with the first webpage in a web path data structure. The computing device detects a first user interaction with the first panel, comprising a request to access a second webpage associated with a second URL. The computing device renders a second panel that displays the second webpage, the second panel arranged in proximity to a first side of the first panel and extending in a first direction in the 3D virtual environment. The computing device stores a second identifier associated with the second webpage in the web path data structure, the second identifier sequentially linked to the first identifier.
G06F 3/01 - Input arrangements or combined input and output arrangements for interaction between user and computer
G06F 3/04845 - Interaction techniques based on graphical user interfaces [GUI] for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range for image manipulation, e.g. dragging, rotation, expansion or change of colour
G06T 15/00 - 3D [Three Dimensional] image rendering
A computerized method is provided for managing replicated database resources. Systems and methods described can use a plurality of geographically distributed servers to query a replicated database and determine the databases health based on monitored golden signals in response to the query. The various servers can be geographically distributed and can report their database health findings to a monitoring agent which can use quorum logic based on all of the reporting servers to identify resource health and trigger failover to another instance of the replicated database when warranted. Such systems and methods can thereby detect not only hard failures but also so-called grey failures resulting in diminished resource performance and trigger failovers to increase resource performance.
G06F 11/20 - Error detection or correction of the data by redundancy in hardware using active fault-masking, e.g. by switching out faulty elements or by switching in spare elements
G06F 11/34 - Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation
A computerized method is provided for batch processing in an on-demand cloud computing or serverless environment. Methods can include using a serverless event bus to trigger a workflow and a serverless workflow orchestration system to manage the workflow in a specified order among a number of containerized applications. In particular embodiments, serverless batch processing may be used to facilitate passage and reconciliation of data between disparate programs such as employee time entry, scheduling, and HR/payroll systems.
G06F 9/455 - EmulationInterpretationSoftware simulation, e.g. virtualisation or emulation of application or operating system execution engines
G06F 11/14 - Error detection or correction of the data by redundancy in operation, e.g. by using different operation sequences leading to the same result
31.
SYSTEMS, METHODS, AND MEDIA FOR ELECTRONIC DOCUMENT MANAGEMENT IN A COMPUTING ENVIRONMENT
Techniques are provided for electronic document management in a computing environment. A business unit and a document type determined for an electronic document may be used to determine that an electronic document is required to adhere to an event-based retention policy. An entry for the document can be created in an event-mapping data structure. Events and actions that occur at each system of record can be tracked by generating an entry in an event tracking data structure. The system of record and attribute value from each entry in the event tracking data structure may be utilized to identify matching entries in the event-based mapping data structure. The expiration date in a matching entry, which corresponds to an electronic document, can be updated using the event date in the event tracking entry and the duration of the event-based retention policy included in the matching entry.
A computerized method is provided for evaluating performance of a virtual service agent. The method includes automatically generating at least one persona for impersonating a virtual customer by inputting a select demographic profile into a trained large language model (LLM). The method also includes generating (i) a list of questions for the virtual service agent for completing at least one task and (ii) a simulated context comprising at least one of mood or attitude of the virtual customer at beginning of the interaction. The method further includes enabling the virtual customer to interact with the virtual service agent to complete the task via multiple simulated dialogue turns involving the list of questions and the simulated context and evaluating the performance of the virtual service agent based on the dialogue turns.
Methods and apparatuses for provisioning a database management platform in a cloud computing environment include a server that reserves virtual computing resources in the cloud environment. The server provisions a database management platform using the reserved virtual computing resources. The database management platform includes primary and secondary database instances, a database observer instance, and a platform monitor agent. The server configures a database observer instance to monitor availability of database instances and to route traffic to other database instances. The server integrates the database management platform with an identity authentication service, monitors operational status of the database management platform using a monitoring service, and refreshes the reserved virtual computing resources in the database management platform using a rehydration service.
Techniques are provided for performing a failover for one or more streaming data applications executing in a cloud computing environment. An active application may actively communicate with a logical region of the cloud computing environment. A corresponding standby application may operate in standby mode with a different logical region. The active application and its standby application may each monitor the health of the logical region and the different logical region by polling respective health status applications. When it is determined that the logical region has failed and the different logical region is healthy, the active application may transition to standby mode and the standby application may transition to active mode to actively communicate with the different logical region. When it is determined that the logical region is healthy again, the applications may switch back to their initial modes.
G06F 11/20 - Error detection or correction of the data by redundancy in hardware using active fault-masking, e.g. by switching out faulty elements or by switching in spare elements
G06F 11/07 - Responding to the occurrence of a fault, e.g. fault tolerance
35.
SYSTEMS AND METHODS FOR PREVENTING FRAUD IN TRANSACTIONS IN REAL-TIME
Systems and methods are described for preventing fraud in transactions in real-time. A first computing device associated with an issuing authority may generate compliance certificates including one or more restriction rules that prohibit specific transactions from being executed by an entity that is regulated by the issuing authority. When a user requests a second computing device associated with the entity to perform a transaction, the second computing device determines whether it can execute the transaction in the request in view of the one or more restriction rules in the compliance certificate. In case the transaction includes attributes that would violate at least one of the one or more restriction rules, the second computing device rejects or blocks the transaction. On the other hand, in the case, the transaction includes attributes that does not violate any of the one or more restriction rules, the second computing device executes the transaction.
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
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 method for executing a machine learning model using a workflow engine includes receiving a model configuration including data related to the machine learning model, pre-processing steps having first prerequisites, and post-processing steps having second prerequisites; in response to a determination that the first prerequisites are not met, executing first operations; in response to a determination that the second prerequisites are not met, executing second operations; executing the pre-processing steps to provide first data, the first data including model inputs; causing transmission of the first data from the computer system to the cloud server system; causing execution of the machine learning model on the cloud server system; causing transmission of second data from the cloud server system to the computer system, the second data including an output of the machine learning model; executing the post-processing steps.
Systems and methods for measuring impact of online search queries on user actions. The method includes capturing clickstream data entered via a website, the clickstream data including text-based queries associated with web searches, and clustering the queries to generate query clusters. The method also includes assigning each query cluster to an intent such that each assigned intent estimates a desired action behind the queries in the corresponding query cluster. The method further includes mapping each intent assigned to a query cluster to at least one action motivated by the intent. The method also includes computing metrics using the mapping to quantitatively measure the impact of the queries on the mapped actions by tracking performance of the actions within a predefined time period after the queries.
09 - Scientific and electric apparatus and instruments
36 - Financial, insurance and real estate services
Goods & Services
Downloadable software in the nature of a mobile application for investment services, namely, securities brokerage and electronic trading of securities Investment services, namely, securities brokerage and electronic trading of securities being securities brokerage services.
09 - Scientific and electric apparatus and instruments
36 - Financial, insurance and real estate services
Goods & Services
Downloadable software in the nature of a mobile application for investment services, namely, securities brokerage and electronic trading of securities Investment services, namely, securities brokerage and electronic trading of securities being securities brokerage services
09 - Scientific and electric apparatus and instruments
36 - Financial, insurance and real estate services
Goods & Services
Downloadable software in the nature of a mobile application for investment services, namely, securities brokerage and electronic trading of securities. Investment services, namely, securities brokerage and electronic trading of securities being securities brokerage services.
36 - Financial, insurance and real estate services
41 - Education, entertainment, sporting and cultural services
45 - Legal and security services; personal services for individuals.
Goods & Services
Providing information online in the field of wealth management relating to intrafamily relationships and intergenerational wealth; Providing information in the field of wealth management; Financial advisory services, namely, wealth preservation and intergenerational wealth transfer planning services. Production and distribution of videos in the field of family management and relationships; publication of on-line non-downloadable articles in the field of in the field of family management and relationships; publication of on-line newsletters in the field of family management and relationships; Online publication of blogs in the field of family management and relationships; Education services, namely, production and distribution of non-downloadable webinars in the field of family management and relationships; Entertainment services, namely, production and distribution of podcasts in the field of family management and relationships. Providing a website featuring information in the fields of personal relationships and personal relationship communication practices and services.
36 - Financial, insurance and real estate services
41 - Education, entertainment, sporting and cultural services
45 - Legal and security services; personal services for individuals.
Goods & Services
Providing information online in the field of wealth management relating to intrafamily relationships and intergenerational wealth; Providing information in the field of wealth management; Financial advisory services, namely, wealth preservation and intergenerational wealth transfer planning services. Production and distribution of videos in the field of family management and relationships; publication of on-line non-downloadable articles in the field of in the field of family management and relationships; publication of on-line newsletters in the field of family management and relationships; Online publication of blogs in the field of family management and relationships; Education services, namely, production and distribution of non-downloadable webinars in the field of family management and relationships; Entertainment services, namely, production and distribution of podcasts in the field of family management and relationships. Providing a website featuring information in the fields of personal relationships and personal relationship communication practices and services.
36 - Financial, insurance and real estate services
41 - Education, entertainment, sporting and cultural services
45 - Legal and security services; personal services for individuals.
Goods & Services
Providing information online in the field of wealth management relating to intrafamily relationships and intergenerational wealth; Providing information in the field of wealth management; Financial advisory services, namely, wealth preservation and intergenerational wealth transfer planning services. Production and distribution of videos in the field of family management and relationships; publication of on-line non-downloadable articles in the field of in the field of family management and relationships; publication of on-line newsletters in the field of family management and relationships; Online publication of blogs in the field of family management and relationships; Education services, namely, production and distribution of non-downloadable webinars in the field of family management and relationships; Entertainment services, namely, production and distribution of podcasts in the field of family management and relationships. Providing a website featuring information in the fields of personal relationships and personal relationship communication practices and services.
42 - Scientific, technological and industrial services, research and design
Goods & Services
Software as a service (SAAS) featuring software for identifying publicly available adverse media articles relevant to named entities in business and financial risk management, namely regulatory compliance, financial crimes compliance, business intelligence, market and collateral risk management, identity management, personnel screening and background investigations, fraud prevention and detection, regulatory compliance analytics, customer due diligence, third- and fourth-party risk management, corporate protective intelligence, hospitality, and travel safety
45.
Systems and methods for preventing money laundering using master smart contract on blockchain
Systems and methods are described for preventing money laundering using a master smart contract. A master smart contract may be recorded on a blockchain, in which the master smart contract comprises one or more containers, that each include one or more tokens. The master smart contract is capable of rebalancing tokens in a container, in which each token is moved between containers in the master smart contract according to an automated process.
A computerized method is provided for managing automated customer callbacks in a call center. Systems and methods can include machine-learning analysis of call-wrap patterns to identify speech patterns and/or words or phrases indicative that a call is about to end. Methods can use this information to more precisely que a next customer callback in order to minimize customer and agent wait times while increasing satisfaction and efficiency.
Techniques are provided for predicting data for precaching and/or recaching at a computer cache of a computer environment. Based on a detected login event of a user, a precache API request can be generated for a type of API data request most often utilized by the user over a predetermined time period. An API gateway may use the precache API request to obtain a corresponding precache API response from a microservice. The precache API response may be stored together at an API gateway cache. Subsequently, when information from an API call substantially matches a cache key corresponding to the precache API response, the precache API response can be provided to the user instead of obtaining the response from the microservice. Additionally, the precache API request may include a recache value that can be used to iteratively obtain up-to-date precache API responses from the microservice.
H04L 67/5681 - Pre-fetching or pre-delivering data based on network characteristics
G06F 12/0862 - Addressing of a memory level in which the access to the desired data or data block requires associative addressing means, e.g. caches with prefetch
G06F 16/957 - Browsing optimisation, e.g. caching or content distillation
H04L 67/1001 - Protocols in which an application is distributed across nodes in the network for accessing one among a plurality of replicated servers
H04L 67/1036 - Load balancing of requests to servers for services different from user content provisioning, e.g. load balancing across domain name servers
H04L 67/568 - Storing data temporarily at an intermediate stage, e.g. caching
48.
Systems and methods for automatic image generation
A computer-implemented method is provided for generating a digital image. The method includes inputting a prompt that provides a textual description of the image into a trained machine learning model to generate the image based on the prompt, and processing the image. Processing the image includes determining presence of one or more humans in the image by detecting one or more human faces using a face detection algorithm, if at least one human face is detected, which is indicative of at least one human present in the image, determining whether there is at least one anatomical deformity associated with the at least one human, and if at least one anatomical deformity is detected, performing correction of the at least one anatomical deformity. The method further includes grading, by the computing device, the image to generate a final score to evaluate image quality.
G06V 10/25 - Determination of region of interest [ROI] or a volume of interest [VOI]
G06V 10/56 - Extraction of image or video features relating to colour
G06V 10/74 - Image or video pattern matchingProximity measures in feature spaces
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 40/16 - Human faces, e.g. facial parts, sketches or expressions
36 - Financial, insurance and real estate services
42 - Scientific, technological and industrial services, research and design
Goods & Services
Financial consulting and financial analysis services in the field of defined-contribution retirement plans, namely 401(a), 401(k), 403(b), and 457(b) plans; providing financial information via an online portal regarding cost modeling, benchmarking, peer comparisons, and scenario analysis for retirement plan design; financial advisory services, namely assisting plan sponsors with evaluating and selecting retirement plan design options based on budget, compliance, *participant engagement, retirement readiness, and the anticipated impact on employee recruitment and retention. Software as a service (SaaS) services featuring non-downloadable software for designing, modeling, simulating, analyzing, scoring, and benchmarking defined-contribution retirement plans, namely 401(a), 401(k), 403(b), and 457(b) plans; providing temporary use of online non-downloadable software for configuring plan design parameters, namely employer match formulas, automatic enrollment and escalation settings, and vesting schedules, and for generating comparative analytics, decision-support reports, and forecasts regarding plan cost, participant engagement, retirement readiness, and the effects of plan design choices on employee recruitment and retention for plan sponsors.
Methods and apparatuses for automatic configuration and deployment of API functionality in a distributed computing environment include creating an API description defining functional features of the API and validating the API description based upon technical constraints and compliance constraints. Source code files are generated based upon the API description, and updates to the source code files are received and applied. Resources used for deployment of the API are configured in the distributed computing environment. An API build is generated based upon the updated source code. The API build is deployed and published in the distributed computing environment to enable external computing resources to access the deployed API build in the distributed computing environment.
Methods and apparatuses for optimizing performance of conversational interface applications using example forgetting include a server that retrieves training data comprising utterances each mapped to one or more known intents. The server determines a forgetting count for each utterance and selects utterances from the training data that have a forgetting count above a predetermined threshold. The server identifies whether the predicted intent associated with each utterance is accurate. The server generates updated training data comprising the selected utterances and corresponding predicted intents, and trains conversational interface applications using the updated training data. The server validates performance of the trained conversational interface applications and saves the updated training data.
36 - Financial, insurance and real estate services
41 - Education, entertainment, sporting and cultural services
45 - Legal and security services; personal services for individuals.
Goods & Services
Providing information in the field of wealth management; financial advisory services, namely, wealth preservation and intergenerational wealth transfer planning services; Providing information online in the field of wealth management relating to intrafamily relationships and intergenerational wealth Production and distribution of videos in the field of family management and relationships; publication of on-line newsletters in the field of family management and relationships; online publication of blogs in the field of family management and relationships; entertainment services, namely, production and distribution of podcasts in the field of family management and relationships.; publication of on-line non-downloadable articles in the field of in the field of family management and relationships; education services, namely, production and distribution of non-downloadable webinars in the field of family management and relationships Providing a website featuring information in the fields of personal relationships and personal relationship communication practices and services.
36 - Financial, insurance and real estate services
41 - Education, entertainment, sporting and cultural services
45 - Legal and security services; personal services for individuals.
Goods & Services
Providing information in the field of wealth management; financial advisory services, namely, wealth preservation and intergenerational wealth transfer planning services.; Providing information online in the field of wealth management relating to intrafamily relationships and intergenerational wealth. Production and distribution of videos in the field of family management and relationships; publication of on-line newsletters in the field of family management and relationships; online publication of blogs in the field of family management and relationships; entertainment services, namely, production and distribution of podcasts in the field of family management and relationships; publication of on-line non-downloadable articles in the field of in the field of family management and relationships; education services, namely, production and distribution of non-downloadable webinars in the field of family management and relationships. Providing a website featuring information in the fields of personal relationships and personal relationship communication practices and services.
A computerized method is provided for user authentication using hand gestures. Multiple points on a user's hand can be tracked using cameras or various sensors and the motion of those points in space and relative to each other can used to create gesture-based passwords. Such user authentication techniques have advantages in augmented and virtual reality applications where traditional text-based passwords may be difficult. Gesture-based user authentication can be augmented with physical characteristics of the specific user's fingers and hands including size, shape, and distinguishing marks to enhance security.
Techniques are provided for managing and transforming alerts generated for cloud computing environments. An alert corresponding to a predefined service name is identified. The alert is transformed with enriched data and into a particular format/syntax such that all generated transformed alerts are consistent in terms of format/syntax. The transformed alert is compared to other existing alerts to determine if the transformed alert is new or repetitive. If the transformed alert is new and does not correspond to a paused event, the transformed alert is published. If the transformed alert is repetitive or corresponds to a paused event, the transformed alert is prevented from being published. The enriched data of the transformed alert can include cloud application specific information and other cloud environment specific information not included in the original alert. The enriched data can be used to more effectively monitor/remediate cloud environment issues.
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 41/0631 - Management of faults, events, alarms or notifications using root cause analysisManagement of faults, events, alarms or notifications using analysis of correlation between notifications, alarms or events based on decision criteria, e.g. hierarchy, tree or time analysis
59.
SYSTEMS AND METHODS FOR MEASURING PERFORMANCE OF LARGE LANGUAGE MODELS
Therefore, what is needed are systems and methods for measuring the performance of a large language models (LLM). As described herein, the system generates measurement tools that are capable of accurately determining whether a predicted answer generated by an LLM is correct (in view of the corresponding question and/or reference answer). In addition, because the system does not suffer from the effects of AI hallucinations (and therefore can provide the correct determination), such determination can be performed without the need for a human to check whether the LLM is correct.
Methods and apparatuses for evaluating probabilistic fairness of machine learning (ML) classification models include a server that generates a first input data set, including assigning a class membership label to each of a plurality of participants based upon a probability of class membership derived from a surrogate class variable. The server generates a second input data set, including assigning a class membership label to each of the plurality of participants based upon ground truth class values. The server executes a binary classification model on the first input data set to generate inferred fairness metrics for the binary classification model. The server executes the binary classification model on the second input data set to generate actual fairness metrics for the binary classification model. The server determines a disparity in one or more fairness metrics for the binary classification model based upon a comparison of the inferred fairness metrics to the actual fairness metrics.
A computerized method is provided for holistic evaluation of a containerized microservice's health. Methods can include passively monitoring and recording interactions with the resources the microservice depends on to assess the health of those resources and comparing to selected thresholds to determine potential recovery actions.
Methods and apparatuses for guided content recommendation using a knowledge graph include a server which determines a user intent associated with a user interaction request. The server determines a graph state associated with a user of a remote device based upon historical traversal information. The server identifies a seed node of a content recommendation knowledge graph based upon the user intent and the graph state. The server generates a digital content display for presentation at the remote device recommended digital content items from the seed node. The server computing device traverses the knowledge graph from the seed node to a connected node based upon a response to the digital content display, including updating the graph state associated with the user of the remote device.
36 - Financial, insurance and real estate services
41 - Education, entertainment, sporting and cultural services
45 - Legal and security services; personal services for individuals.
Goods & Services
Providing information online in the field of wealth management relating to intrafamily relationships and intergenerational wealth; providing information in the field of wealth management; financial advisory services, namely, wealth preservation and intergenerational wealth transfer planning services. Production and distribution of videos in the field of family management and relationships; publication of on-line non-downloadable articles in the field of in the field of family management and relationships; publication of on-line newsletters in the field of family management and relationships; online publication of blogs in the field of family management and relationships; education services, namely, production and distribution of non-downloadable webinars in the field of family management and relationships; entertainment services, namely, production and distribution of podcasts in the field of family management and relationships. Providing a website featuring information in the fields of personal relationships and personal relationship communication practices and services.
36 - Financial, insurance and real estate services
41 - Education, entertainment, sporting and cultural services
45 - Legal and security services; personal services for individuals.
Goods & Services
Providing information online in the field of wealth management relating to intrafamily relationships and intergenerational wealth; providing information in the field of wealth management; financial advisory services, namely, wealth preservation and intergenerational wealth transfer planning services Production and distribution of videos in the field of family management and relationships; publication of on-line non-downloadable articles in the field of in the field of family management and relationships; publication of on-line newsletters in the field of family management and relationships; online publication of blogs in the field of family management and relationships; education services, namely, production and distribution of non-downloadable webinars in the field of family management and relationships; entertainment services, namely, production and distribution of podcasts in the field of family management and relationships. Providing a website featuring information in the fields of personal relationships and personal relationship communication practices and services
66.
SYSTEM AND FRAMEWORK FOR MULTICHANNEL VOICE OF CUSTOMER
A method for integrating customer interaction data from a plurality of channels and for a plurality of customers includes receiving a plurality of customer interaction records, each record associated with a channel and an identifier of a customer, each record including a customer interaction transcript; providing the plurality of customer interaction transcripts to a machine learning model; causing execution of the machine learning model, resulting in a model output including an interaction theme and an interaction summary associated with each one of the customer interaction transcripts; clustering the plurality of themes using a multi-level taxonomy, resulting in a plurality of clustered themes associated with each one of themes; mapping the pluralities of clustered themes and the plurality of interaction summaries, resulting in an interaction reason associated with each one of the customer interaction records; storing the interaction reason associated with each one of the customer interaction records in a database.
A method for generating cross-channel recommendations for a customer includes receiving customer data associated with the customer, content data, and clickstream data; encoding the content data using a text encoder, the encoding resulting in content embeddings; encoding the clickstream data using a clickstream encoder, the encoding resulting in clickstream embeddings; providing the content data, the clickstream data, and the clickstream embeddings as inputs to a hybrid latent model; causing execution of the hybrid latent model, the execution resulting in cross-system user and item interaction embeddings; retrieving application features corresponding to the clickstream data from an application feature store; providing the customer data, the content embeddings, the clickstream embeddings, the cross-system user and item interaction embeddings, and the application features as inputs to a recommendation model; causing execution of the recommendation model, the execution resulting in a plurality of ranked recommendations.
Techniques are provided for proactive analysis of a computer environment to prevent a disruption in services. Specifically, a risk score may be generated for each of a plurality of different alerts. If the risk score generated for a particular alert meets a predefined criterion, the alert may be amplified to determine a remediation for the computer environment. Specifically, an alert with a risk score that meets a predefined criterion may be amplified to determine one or more remediations that can be implemented to proactively prevent a future and potential disruption in services in a computer environment. For example, a service process that has a greatest utilization at a particular storage resource, e.g., storage array, may be identified. One or more query scripts may then be executed within the database using the particular storage resource to identify a remediation that can be implemented to prevent a potential future disruption in services.
Methods and systems for automated testing of virtual reality software applications using robotic devices include a server that converts a test workflow description into a sequence of actions in a format interpretable by a robotic device. The server transmits the sequence of actions to the robotic device. For each action in the sequence of actions, the server a) receives, from the robotic device, execution data corresponding to an outcome of execution of the action by the robotic device; b) captures, from a virtual reality device, one or more of image data and vector data corresponding to a current state of a virtual reality software application; c) analyzes one or more of the image data, the vector data, and the execution data to determine whether the robotic device successfully executed the action; and d) upon determining that the robotic device successfully executed the action, repeats steps a)-d) for the next action.
A computerized method is provided for automatic monitoring, deserializing, cataloging, and replaying messages passing through a trading platform. Methods can include an audit micro service operable to read JSON files associated with various messages including a topic and class name attribute and create a message consumer having specific attributes based on the topic and class name attribute. The consumer can be a compiled executable operable to receive, deserialize, and store messages in a searchable database in human readable format.
Methods and apparatuses for constraint-based optimization of machine learning classification models include determining performance constraints associated with deployment and execution of a model and identifying candidate pipelines. For each candidate pipeline, a model is trained using a training dataset, the trained model is executed using a testing dataset to determine performance characteristics for the trained model, and the performance characteristics are compared to the performance constraints. One of the candidate model pipelines that meets the performance constraints is identified and a production model is built based upon the identified candidate pipeline. The production model is deployed to a production computing environment for execution.
Systems, methods, and media for automatically and dynamically generating and executing chaos testing for different software applications executing in a computing environment
Techniques are provided for automatically generating and executing chaos tests for different software applications in a computing environment. A chaos testing data structure can be generated based on an analysis of configuration and/or property files for the software application and/or hosting platform service provider. A pattern and other information from the chaos data structure can be used to determine a topology of the software application and determine defined paths to different identified potential points of failure. One or more components can be selected for the defined paths to the identified potential points of failure. A chaos test template can be selected and automatically populated for each selected component. One or more chaos tests can be executed using the populated chaos test templates to identify one or more vulnerabilities/weaknesses, determine one or more recommendations to improve the vulnerabilities/weaknesses, and/or automatically implement one or more remediations to improve the vulnerabilities/weaknesses.
Methods and apparatuses for provisioning a database management platform in a cloud computing environment include a server that reserves virtual computing resources in the cloud environment. The server provisions a database management platform using the reserved virtual computing resources. The database management platform includes primary and secondary database instances, a database observer instance, and a platform monitor agent. The server configures a database observer instance to monitor availability of database instances and to route traffic to other database instances. The server integrates the database management platform with an identity authentication service, monitors operational status of the database management platform using a monitoring service, and refreshes the reserved virtual computing resources in the database management platform using a rehydration service.
Methods and apparatuses for conversation dialogue orchestration in virtual assistant communication sessions include a server that establishes a chat session between a virtual assistant (VA) application and a client device. The VA application captures an utterance generated by a user and processes the utterance to instantiate a dialogue behavior tree comprising workflow agents each associated with executable code for completing a corresponding workflow action. The VA application traverses the behavior tree to generate a response to the utterance, including evaluating one or more conditions associated with a workflow agent to determine whether to execute the code in the workflow agent, and when the conditions associated with the workflow agent are met, executing the code to complete the workflow action and storing a sub-response in a dialogue memory. The VA application coalesces the sub-responses to generate a final response and transmits the final response to the client device.
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 computerized method is provided for automated deletion of data. Methods can include identification of personally identifiable information (PII) or other data that may be subject to regulation. Methods can include creating an encrypted record of deletion for future verification. In some embodiments, the record may include PII and the record may be encrypted via a one-way cryptographic hash such that foreknowledge of the PII is required to search the deletion record.
Methods and systems for efficient caching and retrieval of responses in conversation service applications includes a server that captures an utterance and converts the utterance into an utterance index key. The server searches a first response cache to determine whether the utterance index key matches a response index key. When there is a match, the server transmits a response that matches the utterance index key to a client device. When there is not a match, the server converts the utterance into an utterance embedding and searches a second response cache to identify a response embedding. The server captures a fuzzy response index key associated with the closest matching response embedding and searches the first response cache to identify a response index key that matches the fuzzy response index key.
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
G06F 40/284 - Lexical analysis, e.g. tokenisation or collocates
77.
Automating software application infrastructure deployment in a cloud computing environment
Methods and apparatuses for automating software application infrastructure deployment in a cloud computing environment include defining hierarchical infrastructure layers for a software application, generating a deployment pipeline for the software application comprising pre-coded resource configuration modules, and triggering execution of the deployment pipeline to deploy the software application in the cloud computing environment.
Methods and apparatuses are described for user authentication during an electronic signature workflow. A server authenticates user credentials included in an electronic signature request. The server generates activity variables based upon parameters associated with the electronic signature request. The server creates a multidimensional vector using the activity variables. The server executes a trained machine learning classification model on the multidimensional vector to generate an anomaly score for the electronic signature request. The server determines additional authentication requirements for the electronic signature request based upon the anomaly score. The server initiates the additional authentication requirements for the electronic signature request, including validating user authentication data received from remote computing devices.
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
A computerized method is provided for automatic monitoring and detection of deposit fraud. Methods can include receiving, by a computing device, user account information, assessing the user account information to determine a fraud risk score and, if sufficient, adding the account to a watchlist for additional monitoring.
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 20/10 - Payment architectures specially adapted for electronic funds transfer [EFT] systemsPayment architectures specially adapted for home banking systems
80.
SYSTEMS, METHODS, AND MEDIA FOR GENERATING AND UTILIZING AN INTERACTIVE DIRECTED GRAPH REPRESENTING AN MQ ENVIRONMENT
Techniques are provided for generating and utilizing an interactive directed graph representing a messaging queue (MQ) environment. A plurality of text files, each corresponding to a different queue manager of the MQ environment may be analyzed. Based on the analysis, (1) each queue manager and the objects managed by the queue manager may be identified and (2) the relationships between the objects of the MQ environment may be identified. An interactive directed graph, representing the MQ environment, can be generated to include a different node for each identified object and an edge for each identified relationship. The interactive directed graph can provide a pictorial representation for the flow of data through the entire MQ environment. The interactive directed graph can be analyzed and searched to (1) identify a portion that includes one or more objects of interest and/or (2) identify a problem in the MQ environment and remediate the problem.
The End-to-End Encryption and Hot Wallet Key Recovery Apparatuses, Processes and Systems (“E2EEHWKR”) transforms key backup request, key recovery request datastructure/inputs via E2EEHWKR components into key backup response, key recovery response outputs. A key backup request datastructure specifying a wallet private key, a private key backup server identifier, a PIN shard fracture scheme definition, and a plurality of PIN shard backup devices is obtained. A user security PIN is obtained and utilized to encrypt the wallet private key. A symmetric key is calculated from a public key associated with the private key backup server identifier and an app private key. The encrypted wallet private key is encrypted utilizing the symmetric key. The twice encrypted wallet private key is sent to a private key backup server. The user security PIN is encrypted utilizing an asymmetric keypair. Encrypted user security PIN shards are generated and sent to PIN shard backup devices.
G06Q 20/36 - Payment architectures, schemes or protocols characterised by the use of specific devices using electronic wallets or electronic money safes
A method for identifying the presence of a logo in an image includes providing a neural network having an image encoder, a text encoder, and a score calculator. The method includes receiving the image and a textual description associated with the logo. The method further includes providing the image to the image encoder and the textual description to the text encode. The method includes executing the image encoder and the text encoder, wherein the image encoder generates one or more image embeddings from the image and the text encoder generates one or more text embeddings from the textual description. The method further includes executing the score calculator, wherein the score calculator generates a score from the one or more image embeddings and the one or more text embeddings. The method also includes determining the presence of the logo in the image based on the score.
G06F 40/284 - Lexical analysis, e.g. tokenisation or collocates
G06V 10/774 - Generating sets of training patternsBootstrap methods, e.g. bagging or boosting
G06V 10/82 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
G06V 10/86 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using syntactic or structural representations of the image or video pattern, e.g. symbolic string recognitionArrangements for image or video recognition or understanding using pattern recognition or machine learning using graph matching
83.
DIALOG CONTROL FLOW FOR INFORMATION RETRIEVAL APPLICATIONS
Methods and apparatuses are described for dialog control flow in information retrieval applications. A server establishes a chat-based communication session between an information retrieval application and a client device. The server determines a user intent from utterances received from a user of the client device and initiates a first dialog workflow associated with the user intent. The server invokes NLP services using the utterances to determine a comprehension score for the user intent and identifies a first one of the NLP services to continue the first dialog workflow when the comprehension score is at or above a threshold value, including generating a response to the utterances using the first NLP service. The server delegates the communication session to a second dialog workflow when the comprehension score is below the threshold value, including invoking a generalized language processing service associated with the second dialog workflow using the user intent to generate a response to the utterances. The server transmits the generated response to the client device as part of the chat-based communication session.
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 Decentralized Exchange with Price Oracle Apparatuses, Processes and Systems (“DEPO”) transforms decentralized exchange liquidity provision request, decentralized exchange crypto asset swap request, decentralized exchange liquidity redemption request datastructure/inputs via DEPO components into decentralized exchange liquidity provision response, decentralized exchange crypto asset swap response, decentralized exchange liquidity redemption response outputs. A decentralized exchange liquidity provision transaction is obtained via a bidirectional decentralized exchange smart contract deployed on a blockchain. A crypto assets exchange quotient for exchanging a first crypto asset type and a second crypto asset type is determined. A quantity of fungible tokens specific to a crypto assets liquidity tranche datastructure to generate is calculated. The calculated quantity of fungible tokens specific to the crypto assets liquidity tranche datastructure is transferred to a provision blockchain address controlled by a sender of the decentralized exchange liquidity provision transaction.
G06Q 40/04 - Trading Exchange, e.g. stocks, commodities, derivatives or currency exchange
G06Q 20/02 - Payment architectures, schemes or protocols involving a neutral third party, e.g. certification authority, notary or trusted third party [TTP]
G06Q 30/0201 - Market modellingMarket analysisCollecting market data
A computer-implemented system is provided for configuring and managing a federation ecosystem implemented in a data query language and comprising a plurality of subgraphs. The system includes a sandbox registry in communication with the subgraphs. The sandbox registry is configured to test and verify changes to the subgraphs to ensure validity of the subgraphs. The system also includes a global registry in communication with the sandbox registry. The global registry is configured to register the subgraphs after the subgraphs are tested and verified by the sandbox registry. The system further includes a portal in communication with the global registry. The portal is configured to present to a user the subgraphs registered with the global registry and receive from the user instructions for combining two or more of the subgraphs to form at least one supergraph.
The Decentralized Exchange with Price Oracle Apparatuses, Processes and Systems (“DEPO”) transforms decentralized exchange liquidity provision request, decentralized exchange crypto asset swap request, decentralized exchange liquidity redemption request datastructure/inputs via DEPO components into decentralized exchange liquidity provision response, decentralized exchange crypto asset swap response, decentralized exchange liquidity redemption response outputs. A decentralized exchange liquidity provision transaction is obtained via a unidirectional decentralized exchange smart contract deployed on a blockchain. A crypto assets exchange quotient for exchanging a source crypto asset type and a target crypto asset type is determined. An imbalance rule check for a crypto assets liquidity tranche datastructure is executed. A non-fungible token specific to the crypto assets liquidity tranche datastructure is minted. The non-fungible token is associated with a provision blockchain address controlled by a sender of the decentralized exchange liquidity provision transaction.
G06Q 20/36 - Payment architectures, schemes or protocols characterised by the use of specific devices using electronic wallets or electronic money safes
A computer-implemented method is provided for producing a test for a software application that is generated based on metadata. The method includes providing to the user a library of predefined test logic for testing multiple software components. Each software component is a reusable element comprising application logic, visual styling and user interface. The method also includes guiding the user to define (i) at least one execution path that specifies an order for testing one or more pages of the software application, and (ii) test instructions for one or more components on each of the one or more pages. The method further includes retrieving, from the library, predefined test logic for the one or more components if they are present in the library based on the test instructions supplied by the user, and automatically configuring a test file incorporating the predefined test logic in an order specified by the execution path.
A computer-implemented method for adaptively discretizing a position of a textual object in a document includes receiving, by a computer system, an image of the document and determining, by the computer system, an absolute position of the textual object in the image of the document. The method further includes normalizing, by the computer system, the absolute position to determine a relative position of the textual object. The method also includes calculating, by the computer system, a bin size such that at least one axis of the image is divided into a plurality of separate bins, wherein a distance between each bin along the at least one axis and its adjacent bin equals the bin size. The method includes discretizing, by the computer system, the relative position based on the bin size to determine a discretized position of the textual object; and providing, by the computer system, the discretized position and a textual content of the textual object as an input to a machine learning model.
Systems and methods are described for enhancing performance of a search engine by using pre-existing fine-tuned machine learning models that include domain-specific knowledge. A computing device receives search results from a search engine based on a query, in which the search results include chunk identifiers and a first weight score associated with each chunk identifier. The computing device further determines a subset of search results, which includes a first predetermined number of top-ranked chunk identifiers in the search results. The computing device generates, for each chunk identifier in the subset of search results, one or more second weight scores. Then the computing device generates, via a machine learning model, ensemble scores for the chunk identifiers. Afterwards, the computing device determines a second predetermined number of top-ranked chunk identifiers based on the ensemble scores.
Automatic transaction processing failover and reconciliation in a cloud-based environment includes monitoring the processing of transaction messages to identify exception events and determining whether to initiate a failover switch based upon the identified exception events. When a failover switch is initiated, the system identifies a target cloud-based system instance for the failover switch, changes a state of the affected cloud-based system instance to prevent the affected instance from receiving transaction messages, changes a state of the target instance to receive transaction messages intended for the affected instance, and performs a replication check between databases. The system reconciles transaction messages stored in the database of the cloud-based system instance to identify anomalies.
G06F 11/20 - Error detection or correction of the data by redundancy in hardware using active fault-masking, e.g. by switching out faulty elements or by switching in spare elements
A method for determining regression of a database query associated with a first execution plan includes receiving a first performance measure for the database query and the first execution plan; determining a presence of at least one stored performance measure for the database query in a data repository; adding the first performance measure and identifiers for the database query and the first execution plan to a synchronization list; retrieving a second performance measure associated with a second execution plan from the data repository; determining a regression of the database query by comparing the first performance measure to the second performance measure; in response to a determination that the database query is regressed, adding the first performance measure, the second performance measure, and identifiers for the database query and the first execution plan to a regression report.
The Serverless Computing for Portfolio Optimization Apparatuses, Processes and Systems (“SCPO”) transforms optimization application configuration input, optimization application execution input datastructure/inputs via SCPO components into optimization application configuration output, optimization application execution output outputs. An optimization application configuration request associated with an optimization application and structured to specify a plurality of optimization modules to configure for the optimization application is obtained. A first optimization configuration datastructure structured to specify a first cloud function, a first API path, and an identifier of an application load balancer is generated for a first optimization module. A second optimization configuration datastructure structured to specify a second cloud function, a second API path, and the identifier of the application load balancer is generated for a second optimization module. The first optimization configuration datastructure and the second optimization configuration datastructure are provided to a cloud configuration server structured to configure the application load balancer.
Methods and apparatuses for automatic ingestion of data using a rate-limited application programming interface (API) include a computing device that creates structured query objects, each comprising instructions for retrieving data from a repository using the rate-limited API. The computing device requests data from the repository via the rate-limited API using the structured query objects and a plurality of API access tokens, including a) generating data requests, each comprising a structured query object; b) determining a transmission delay for each API access token based upon a current rate limit imposed by the rate-limited API; c) transmitting each data request to the repository via the rate-limited API using an API access token that has a transmission delay below a threshold value; and d) processing data received from the repository in response to each data request. The computing device repeats steps b) through d) until data responsive to each data request is received.
A method for calculating counterparty risk using a risk calculation application includes receiving a plurality of transactions in a portfolio, each including a market value and a beta value. The method includes generating, in parallel, a plurality of market scenarios based on a log-normal distribution. The method also includes calculating, in parallel, an average market scenario and a high-risk market scenario based on the plurality of market scenarios. The method further includes calculating, in parallel, a beta-adjusted portfolio value based on the plurality of market values and the plurality of beta values. The method includes calculating, an expected portfolio exposure based on the beta-adjusted portfolio value and the average market scenario. The method also includes calculating a potential portfolio exposure based on the beta-adjusted portfolio value and the high-risk market scenario. The method includes storing the expected portfolio exposure and the potential portfolio exposure in a database.
Methods and apparatuses for multimodal enhancement of interactions in conversation service applications include a server that establishes a chat-based communication session between a conversation service application and a client computing device. Query input is captured from a user during the session. The server converts an audio segment corresponding to a video into a video transcript using speech recognition, and determines a transcript portion for the video that is responsive to the query input using a dense passage retriever model. The server selects video frames from the video that correspond to the transcript portion and determines, for the selected frames, a predicted relevancy between the selected frame and the query input. The server generates a response to the query input comprising the selected frames based upon the relevancy. The server transmits the response to the client device for display.
G06F 16/78 - Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
G06F 16/783 - Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
