Abstract: One or more embodiments of the present specification relates to an online interview method and system. The method includes: establishing communication connection between an interviewing terminal and an interviewed terminal through a network; and acquiring communication information between the interviewing terminal and the interviewed terminal. The communication information includes one or more types of audio information, video information, and text information. The interviewing terminal includes one or more of a first host terminal, a second host terminal, and a text processing terminal. The first host terminal is configured to host an interview, and the first host terminal displays an interview outline and/or information of the interviewed terminal. The second host terminal is configured to host the interview and/or participate in the consultation of interview questions. The text processing terminal converts the audio information and/or the audio information in the video into corresponding text information.

Abstract: Disclosed are some examples of systems, methods, and computer program products for suggesting actions for evaluating user performance in a social networking system. In some implementations, textual input of a social media message is processed. The processing can include determining that data of the textual input indicates an evaluation of performance of a user of the social networking system. A prompt can be displayed, requesting submission of information evaluating performance of the user. A performance evaluation record can be generated or updated in a database to store the evaluating information in association with an identification of the user, and an indication of the evaluating information can be shared in a feed of the social networking system.

Abstract: A data management system includes a computing device. The computing device includes one or more processors to execute instructions stored in memory of the computing device. The instructions, when executed by the computer device, cause the computing device to receive an indication that multiple data elements are ready for evaluation, as well as determine whether metadata registration for the multiple data elements is valid. The instructions also cause the computing device to determine a data quality of the multiple data elements by evaluating multiple data elements based on multiple data quality dimensions including at least two of: validity, completeness, uniqueness, accuracy, consistency, and timeliness. The instructions also cause the computing device to provide an indication of the data quality of the multiple data elements via a graphical user interface (GUI) generated via a centralized data mart.

Abstract: A system and method for implementing an alimentary instruction set based on vibrant constitutional guidance using artificial intelligence, the system comprising at least a server configured to receive at least a biological extraction from a user and training data, generate a diagnostic output as a function of the at least a biological extraction and training data, generate a comprehensive instruction set associated with the user based on the diagnostic output, transmit the comprehensive instruction set to at least a user client device associated with the user, generate at least an advisory output as a function of the comprehensive instruction set, and transmit the advisory output to at least an advisor client device.

Abstract: A fleet management server includes a memory and a processor. The processor is configured to: receive past event data associated with at least one vehicle and at least one driver, the past event data representing at least one respective past vehicle event that occurred when one of the drivers was driving one of the vehicles; receive respective predetermined classifications of the past vehicle events that were previously manually assigned based on respective contemporaneous videos of the past vehicle events; receive novel event data representing at least one respective novel vehicle event; automatically assign respective ones of the predetermined classifications to the novel vehicle events based on the previous manually assigned classifications to the past vehicle events; and output, to a user of the fleet management server, the respective automatically assigned predetermined classifications of the novel vehicle events.

Abstract: Computer implemented methods are provided for facilitating social engineering campaigns. The methods generally include maintaining at least one database that includes metadata for a plurality of fictional personas, metadata for a plurality of potential targets, information for a plurality of social engineering campaigns, such as a plurality of campaign scenarios, and information regarding social engineering successes with respect to at least one fictional persona, at least one potential target, at least one social engineering campaign, or a combination thereof. The method further includes receiving a selection of a campaign scenario from the plurality of campaign scenarios, receiving a selection of at least one of the plurality of potential targets, and selecting at least one of the plurality of fictional personas for use in a social engineering campaign based on an expected effectiveness of the given fictional personas with respect to the selected targets.

Abstract: A method and system for quantifying a lack of parity for a subjective data set and an objective data set within an injury profile report. The method and system analyzes and inspects each subjective and objective data set and compares these data sets to a historical accuracy database to find a lack of agreement or non-parity of the data sets. The method and system quantifies the lack of parity, creates an injury profile report and proscribes any functional limitations for the injured worker. The output can be used to assign safer and more accurate functional limitations and assign safer and mor accurate functional limitations to support a safer return to work event for the inured worker after injury.

Abstract: Embodiments maintain historical activity information for a plurality of entity records. Each historical activity record includes a sequence-number that reflects a temporal position of the represented activity instance relative to other activity instances that targeted the corresponding entity. Based on this historical activity information, embodiments generate marginal value matrices (MVMs) that show the historical effectiveness of activities. Specifically, each entity is assigned to a bucket based on an associated entity score. An MVM charts a marginal value for each combination of bucket index and sequence-number, where the marginal value at each combination of bucket index and sequence-number is the average of the activity result values of the historical activity records, for entities assigned to the bucket index, having the sequence-number. Embodiments use MVMs to predict marginal values for activities targeted to each current entity of the salesperson.

Abstract: At least one computer-readable medium on which are stored instructions that, when executed by one or more processing devices, enable the one or more processing devices to perform a method. The method includes the steps of receiving from a user a 360-degree image of a property, performing on the image an image recognition routine, the image recognition routine identifying one or more defects in the property, determining from the image measurements of one or more objects associated with the one or more defects in the property, and estimating a type and quantity of material necessary to remedy the identified one or more defects.

Abstract: A method for quantifying the professional development of a subject includes storing, on a non-transitory computer-readable medium, a base professional development score for a subject, receiving a submission pertaining to a professional development activity of the subject, approving the submission based on at least one professional development criteria, assigning a value to the approved submission, adjusting the base professional development score according to the approved submission value, comparing the adjusted professional development score to a threshold value, and determining that the subject has achieved a professional development goal when the adjusted professional development score is greater than the threshold value. A system for quantifying the professional development, a system for network-assisted recruitment, and a system for network-assisted learning are also described.

Abstract: Systems and methods for assessing, tracking and improving security maturity of an organization are provided. Described is a system for assessing security maturity of an organization. The system receives a list of data sources located across multiple jurisdictions for the organization, collects data sources/data using custom rules from a plurality of data sources of the list of data sources, determine criticality score for each of the plurality of data sources, calculates data source coverage and asset collection coverage, determines use case coverage, and determines security maturity score using a maturity score model. The maturity score model is a logistic equation which is a function of the data source coverage, the asset collection coverage, the criticality score associated with each of the plurality of data sources, the use case coverage, asset coverage by each the plurality of data sources.

Abstract: One variation of a method for automatically capturing data from non-networked production equipment includes: detecting a location of a mobile device within a facility, the mobile device manipulated by an operator while performing a step of an augmented digital procedure at a machine in the facility; estimating a position of a display on the machine relative to a field of view of an optical sensor in the mobile device based on the location of the mobile device and a stored location of the machine within the facility; in response to the position of the display falling within the field of view of the optical sensor, selecting an image captured by the optical sensor; extracting a value, presented on the display, from a region of the image depicting the display; and storing the value in a procedure file for the augmented digital procedure completed at the machine.

Abstract: Systems and methods are disclosed for optimizing distribution of resources to data elements, comprising receiving a designation of one or more data elements for distribution; receiving a designation of a plurality of electronic event types detectable over a network, the plurality of electronic event types being associated with receipt or electronic display of at least one data element of the one or more data elements, to be tracked; forecasting a return on investment, associated with distribution of the one or more data elements, based on a forecast of occurrences of the plurality of electronic event types; and optimizing distribution of resources to the one or more data elements based on the forecasted return on investment.

Abstract: Exemplary implementations may provide a workforce sentiment and structure descriptions. A survey management tool can solicit and retrieve ratings data from employees via a survey. The received ratings can be aggregated and scaled according to employee ratings to identify and adjust for the impact of influential employees. An organizational chart may be updated based on the survey results and users may navigate the updated organizational chart to review employee ratings.

Abstract: An intelligent scheduler system implemented by one or more computer for objectively selecting interviewers for an interview of a candidate for a job opening at an organization. The one or more computers includes a storage device and a processing device to generate a calibrated job profile, generate an enriched talent profile of the candidate, identify, based on the calibrated job profile and the enriched talent profile, an aspect of the candidate to be evaluated during the interview, execute a deep neural network comprising an input layer to receive the aspect, the enriched talent profile of the candidate, and the enriched talent profiles of the potential interviewers, and an output layer to output match scores each indicating an effective measure of a corresponding one of the potential interviewers for evaluating the aspect during the interview, and determine, based on the match scores, qualified interviewers from the potential interviewers.

Abstract: A machine learning method includes acquiring data including attendance records of employees and information indicating which employee has taken a leave of absence from work, in response to determining that a first employee of the employees has not taken a leave of absence in accordance with the data, generating a first tensor on a basis of an attendance record of the first employee and parameters associated with elements included in the attendance record, in response to determining that a second employee of the employees has taken a leave of absence in accordance with the data, modifying the parameters, and generating a second tensor on a basis of an attendance record of the second employee and the modified parameters, and generating a model by machine learning based on the first tensor and the second tensor.

Abstract: An apparatus and method for enhancing cybersecurity of an entity, wherein the apparatus includes at least a processor and a memory containing instructions configuring the at least a processor to receive entity data including cybersecurity related data from an entity, compare the entity data to a cybersecurity metric, generate a cybersecurity enhancement program as a function of the comparison, wherein the cybersecurity enhancement program includes a cyber-attack simulation, and implement the cybersecurity enhancement program for the entity based on the entity data.

Abstract: Techniques for providing improved rating interfaces and techniques as applied to providing and measuring dynamic self-awareness within human networks. A server transmits to a plurality of computing devices a first command for each respective device to display a self-rating user interface and receive a self-rating input from a respective user. The server receives the plurality of self-rating inputs from the plurality and transmits to the plurality a second command for each respective computing device to display a peer rating user interface and receive a peer rating input from a respective user. The server receives the plurality of peer rating inputs from the plurality and calculates statistics comparing the self-rating inputs and the peer rating inputs from the plurality of respective users. The server transmits to the plurality, a third command for each respective computing device to display, by the respective computing device, a summary of the calculated statistics.

Abstract: Systems and techniques are provided for determining an improved camera coverage plan including a number, a placement, and a pose of cameras that are arranged to track puts and takes of items by subjects in a three-dimensional real space. The method includes receiving an initial camera coverage plan including a three-dimensional map of a real space, an initial number and initial pose of a plurality of cameras and a camera model including characteristics of the cameras. The method can iteratively apply a machine learning process to an objective function of number and poses of cameras, and subject to a set of constraints, obtain an improved camera coverage plan. The improved camera coverage plan is provided to an installer to arrange cameras to track puts and takes of items by subjects in the three-dimensional real space.

Abstract: One variation of a method for automatically capturing data from non-networked production equipment includes: detecting a location of a mobile device within a facility, the mobile device manipulated by an operator while performing a step of an augmented digital procedure at a machine in the facility; estimating a position of a display on the machine relative to a field of view of an optical sensor in the mobile device based on the location of the mobile device and a stored location of the machine within the facility; in response to the position of the display falling within the field of view of the optical sensor, selecting an image captured by the optical sensor; extracting a value, presented on the display, from a region of the image depicting the display; and storing the value in a procedure file for the augmented digital procedure completed at the machine.

Abstract: A system and method for procedure selection for dispute resolution according to a plurality of factors, wherein the factors include but are not limited to characteristics of the people (or parties) involved, the nature of the dispute and its context, and the goals of the parties involved. Optionally the characteristics of the parties are determined according to their goals.

Abstract: As described herein, a system, method, and computer program are provided for dynamically generating assistance information for customer service agents. In use, presence of a customer at a physical retail store is identified. Additionally, information describing the customer is processed, using a machine learning model, to determine an expected outcome of an interaction with the customer occurring within the physical retail store. It is then determined that the customer is to be assisted by a customer service agent. Further, assistance information for the customer service agent is dynamically generated, based at least in part on the expected outcome of the interaction with the customer.

Abstract: A method comprises receiving a set of data from at least one interaction, calculating, an audio score for any audio data received in the set of data, and calculating a video score for any video data received in the set of data. The audio score is joined with the video score to create an audiovisual score, and some subset of measurement, alert or recommendation is sent to a user, the set being based on the audiovisual score and configured to be displayed on a user device.

Abstract: Systems and methods relating to improving the experience of gig-economy workers are disclosed, with particular reference to gig-economy work involving vehicle use. Such systems and methods include automatically monitoring and evaluating activities such as driving during performance of gigs, as well as providing recommendations based thereupon. Transferable tokens may be used to apply information across various types of gig activities. Such a transferable token may represent one or more risk levels associated with a gig-economy worker to provide reputational information between gig-economy platforms or between types of gig-economy activities. Thus, the transferable token may enable a gig-economy worker to transfer high customer ratings across gig-economy platforms.

Abstract: The present invention provides for one or more server computers configured to receive user input from a user interface (UI) comprising a first and second job description. The server queries a database to identify a first and second competency score associated with the first and second job descriptions respectively. The server then generates a personalized course profile comprising a plurality of objectives stored in the database and each associated with a third competency score between the first and second competency scores. The server then renders a second UI including an ordered list of the objectives and UI controls for accessing assets associated with the objectives. The server then transmits the second UI to a client computer for display.

Abstract: An example procedure includes an operation to obtain a product record for a first product associated with a supplier account of a supplier of the first product, an operation to select, based on the product record a group from amongst a number of online stores, online stores selling products matching the first products and having a stable demand for those matching products, and an operation to associate the supplier account with merchant accounts corresponding to the selected group of online stores to allow the supplier to supply the selected online stores with the first product.

Abstract: In some aspects, the disclosure is directed to methods and systems for a dynamic, reconfigurable virtual reality environment with in-environment access to external data and resources. Implementations of these systems also provide an external mechanism for modifying other aspects of the virtual reality experience with no need to recode or compile the experience. This can alter the primary flow of the experience, change its behavior based on the specific user accessing it and add branded or customer-specific aspects to the application. The same level or environment can provide drastically different experiences for various users from beginners through experts, even allowing the option of random or ordered events, controllable by an instructor or administrator, through simple configuration.

Abstract: Embodiments described herein provide various examples of a system for extracting an actual procedure duration composed of actual surgical tool-tissue interactions from an overall procedure duration of a surgical procedure on a patient. In one aspect, the system is configured to obtain the actual procedure duration by: obtaining an overall procedure duration of the surgical procedure; receiving a set of operating room (OR) data from a set of OR data sources collected during the surgical procedure, wherein the set of OR data includes an endoscope video captured during the surgical procedure; analyzing the set of OR data to detect a set of non-surgical events during the surgical procedure that do not involve surgical tool-tissue interactions; extracting a set of durations corresponding to the set of non-surgical events; and determining the actual procedure duration by subtracting the set of extracted durations from the overall procedure duration.

Abstract: Systems and methods for providing content items can generate the content items based on impact scores associated with actions of the content items. The system and methods can include accessing, for an entity, a plurality of record objects linked with one or more electronic activities having the entity as a participant, each record object corresponding to an event to be completed; identifying, for each record object of the plurality of record objects, an action to perform to increase a completion score; determining, for each action, using the electronic activities linked with the record object and a current completion score of the record object, an impact score indicating an amount of change in the completion score of the record object corresponding to the action; and providing, for presentation to a device of the entity, a content item corresponding to the action based on the impact score.

Abstract: A device that is configured to establish a network connection between a user and an agent. The device is further configured to identify a first issue type for the user and to identify a first resolution type provided by the agent based on a conversation between the user and the agent. The device is further configured to identify a performance score from a resolution mapping based on a combination of the first issue type and the first resolution type. The device is further configured to identify a first knowledge area that is associated with the first issue type and to update a first knowledge score that is associated with the first knowledge area in a performance record for the agent based on the performance score. The device is further configured to send a recommendation to the agent based at least in part on the performance score.

Abstract: A method for augmenting procedures at production equipment includes: linking a first description of a first step in a procedure and a capture type to a first capture field; generating a digital draft procedure comprising descriptions of steps extracted from the procedure and the first capture field specifying data capture of the first capture type from an equipment unit; generating augmented guidance for the first step in the procedure based on visual content recorded by a mobile device—assigned to an exemplary operator—during completion of the first step in the digital draft procedure; linking the augmented guidance to a location proximal the equipment unit based on locations of the first mobile device during completion of the first step in the digital draft procedure; and generating an augmented digital procedure based on steps in the procedure, the augmented guidance, and definitions for data capture according to the first capture field.

Abstract: A computer implemented system and method for personal attribute valuation and match with occupations and organizations which provides computer elements and computer code which functions to calculate a congruence index which provides an objective measure of person to occupation fit and person to organization fit.

Abstract: Systems and methods for field device interaction monitoring may include an analysis compute device having circuitry configured to obtain user interaction data produced by one or more field devices used in an industrial process of an industrial plant. The user interaction data may be indicative of interactions made by one or more users through a human machine interface of a corresponding field device. The circuitry may be additionally configured to analyze the user interaction data to determine a responsive action to increase an efficiency of the industrial process at the industrial plant and perform the responsive action.

Abstract: An agricultural machine includes a set of ground engaging elements that perform a ground engaging operation. The agricultural machine includes a rearward sensor mounted to the agricultural machine to sense an area of ground behind the agricultural machine and generate a rearward sensor signal. The agricultural machine includes rearward zone generator logic that determines a first zone and a second zone, wherein the first zone and the second zone represent portions of the area of ground behind the agricultural machine. The agricultural machine includes rearward residue generator logic configured to receive the rearward sensor signal and determine a first residue metric indicative of the amount of residue in the first zone. The agricultural machine includes control logic that controls one or more aspects of the ground engaging operation on the area of ground based on the first residue metric.

Abstract: A method and system for quantifying a lack of parity for a subjective data set and an objective data set within an injury profile report. The method and system analyzes and inspects each subjective and objective data set and compares these data sets to a historical accuracy database to find a lack of agreement or non-parity of the data sets. The method and system quantifies the lack of parity, creates an injury profile report and proscribes any functional limitations for the injured worker. The output can be used to assign safer and more accurate functional limitations and assign safer and more accurate functional limitations to support a safer return to work event for the inured worker after injury.

Abstract: Systems and methods for route management are disclosed. A system for use with a communication network includes an electronic logging device, a global positioning device, and a server. The server communicates via a communication network and to access vehicle data and global positioning data via the communication network. The server includes a processor(s) and a non-transitory computer-readable medium storing instructions thereon, that when executed by the one or more processors, cause the processor(s) to: analyze the vehicle data to identify start-and-stop events of the vehicle; analyze each of the start-and-stop events with respect to criteria to identify which of the start-and-stop events is associated with an actual visit event; identify the locations and the times from the global positioning data that correspond to the actual visit events; and correlate the locations and the times of the vehicle with the respective ones of the actual visit events.

Abstract: A system for compensation modeling includes an interface and a processor. The interface is to receive live transactional compensation data. The system processor is to determine a set of compensation assignment plans based at least in part on the live transactional compensation data, determine a compensation model based at least in part on the set of compensation assignment plans, and provide the compensation model.

Abstract: Methods, computer-readable media, software, and apparatuses include activating a telematics system to collect telematics data associated with operation of a vehicle during a first window of time, receiving, by a computing device associated with the vehicle, telematics data from the telematics system during the first window of time, identifying one or more parameters associated with operation of the vehicle based on analyzing the telematics data, determining whether the one or more parameters meets a safe driving threshold, and upon determining that the one or more parameters meets the safe driving threshold, transmitting the telematics data to a third party server or device.

Abstract: Artificial intelligence (AI)-based techniques are provided that predict a quality score for a product-related data structure associated with one or more products. One method comprises obtaining data for a given product-related data structure; evaluating a plurality of first features related to a customer account associated with the given product-related data structure using the obtained data; evaluating a plurality of second features related to the given product-related data structure using the obtained data; processing at least some of the first features and the second features using at least one model that provides a predicted quality score for the given product-related data structure; and applying one or more thresholds to the predicted quality score to determine an acceptance status related to the given product-related data structure. A weighting of the first features and the second features can be learned during a training phase.

Abstract: Embodiments determine mismatches in evaluations. Embodiments receive a first evaluation of an employee from a supervisor of the employee, the first evaluation including supervisor comment ratings and supervisor numerical ratings, each of the supervisor comment ratings and supervisor numerical ratings corresponding to an evaluation category. Embodiments receive a second evaluation of the employee from the employee, the second evaluation including employee comment ratings and employee numerical ratings, each of the employee comment ratings and employee numerical ratings corresponding to the evaluation category. Embodiments determine first sentiment polarity scores of the supervisor comment ratings and second sentiment polarity scores of the employee comment ratings.

Abstract: A device, system and method for role based data collection and public-safety incident response is provided. A computing device receives a call to report a public-safety incident. The computing device determines a role of a caller on the call, the role of the caller being relative to the public-safety incident. The computing device retrieves, from one or more memories, data dependent on the role of the caller. The computing device controls a notification device to provide the data dependent on the role of the caller.

Abstract: A skills learning method for a student gathers objective data relating to the student in response to various stimuli, and produces a predicted feedback units as a function of the objective data using a machine learning-base classifier. The method can include training a neural network using objective data of student interactions and associated subjective assessments of a skill of each objective data. The method includes receiving a new dataset with objective data of a new student and an associated subjective assessment of a skill of the first student represented by the new objective data. A predicted assessment of the skill of the new objective data is calculated by inputting the new objective data into the neural network. The method can include updating the neural network by combining the initial dataset and the new dataset and recompiling the neural network to fit the model dataset based on a learning algorithm.

Abstract: Business management systems include business system platforms such as project management trackers, employee engagement software and so on. The system obtains inputs about an employee from at least one business system platform and estimates flight event risk status of the employee. Feedback is obtained from to make adjustments or corrections to the flight event risk status. The estimation involves the use of machine learning regression model that includes historical data and will also constantly update itself based on the feedback and the updated flight event risk status. The system also includes a tone analyzer to analyze the tone of messages posted by groups of employees in an organization. The groups of employees may belong to a business vertical, members of a club, project team, or the entire organization.

Abstract: An objective of the present invention is to promote efficiency improvement of a business by a mobile device. A business analysis server that analyzes a business in a mobile device system conducting the business by controlling a mobile device on the basis of a scenario includes a control unit, and a storage unit including a business index value database that manages a business index value indicating an effect of the business and a business index value history database that manages a change in the business index value as time-series data. The control unit receives scenario execution information when a business index value is designated, analyzes a correlation between the business index value and the scenario by referring to the business index value history database and the scenario execution information, extracts a target scenario whose correlation value with the business index value satisfies predetermined conditions, and generates a correction scenario.

Abstract: A method includes obtaining a first snapshot of a source system and deriving a set of key-value pairs reflecting the first snapshot. A mirror operation of the source system is performed to obtain CDC change operations. The method obtains a first CDC log as a first sequence of key-value pairs. A second snapshot of the source system is obtained and a set of key-value pairs is derived, which reflects the second snapshot. The first sequence of key-value pairs is compared with the set of key-value pairs to derive corrective CDC operations, captured as a set of key-value pairs. The corrective CDC operations represent corrections to be performed with respect to the first sequence of key-value pairs. A second CDC log is obtained as a second sequence of key-value pairs. The corrective CDC operations ensure that the second sequence of key-value pairs are coherent with the set of key-value pairs.

Abstract: This document relates to evaluating privacy impact for organization risk management. For example, quantifiable methods are provided by way of a privacy impact model to calculate a relative value for privacy impact can be used to calculate risk and prioritize risk mitigations and take corrective actions.

Abstract: Computer program products, methods, systems, apparatus, and computing entities for determining/identifying confidence ratings/indicators for delivery of items. In one embodiment, this comprises determining a number of location events that occurred within a zone of confidence for delivery an item to a serviceable address; and responsive to determining the number of location events that occurred within the zone of confidence for delivery the item to the serviceable address, determining, via one or more processors, a confidence rating for delivery of the item to the serviceable address based at least in part on the number of location events that occurred within the zone of confidence.

Abstract: An operation evaluation device evaluates an operation work of an operator in a plant. The operation evaluation device includes a processor that calculates a plurality of key performance indicators in process control using data related to the process control performed by the operation work of the operator in the plant and obtains a score by scoring the operation work of the operator in the plant from a viewpoint of plant management using the calculated key performance indicators, and an output device that outputs the obtained score for each viewpoint of the plant management.

Abstract: Systems, devices, and techniques are disclosed access to data in multiple instances through a single record. A selection of a record may be received through a user interface. The record may be stored in a database. Aspects of the record may be received from the first database. and displayed on the user interface. A first additional aspect associated with the record may be received from a first instance database associated with a first instance of a secondary application and displayed on the user interface. A selection to switch to a second instance of the secondary application may be received through the user interface. A second additional aspect associated with the record may be received from a second instance database associated with the second instance of the secondary application and displayed on the user interface the in place of the first additional aspect associated with the record from the database.

Abstract: Techniques for providing alerts in a system that implements an organizational management platform to manage applications for an organization are disclosed. The method can include accessing organizational data associated with the organization. A rule having a condition for activation of a trigger can be received from a user interface. A dependency map having data objects that are associated with the rule can be generated by the system. A change in a first data object from the data objects can be determined. Additionally, a dependency between the rule and the first data object can be determined based on the dependency map. Moreover, the condition for the activation of the trigger can be determined to be satisfied based on the determined change. Subsequently, an action associated with the activation of the trigger can be performed based on the condition for the activation of the trigger being satisfied.