Abstract: The present disclosure is directed to systems and methods for economically optimal control of an electrical system. Some embodiments employ generalized multivariable constrained continuous optimization techniques to determine an optimal control sequence over a future time domain in the presence of any number of costs, savings opportunities (value streams), and constraints. Some embodiments also include control methods that enable infrequent recalculation of the optimal setpoints. Some embodiments may include a battery degradation model that, working in conjunction with the economic optimizer, enables the most economical use of any type of battery. Some embodiments include techniques for load and generation learning and prediction. Some embodiments include consideration of external data, such as weather.

Abstract: A management device executes an acquisition process of acquiring configuration management information including at least the first storage region and the second storage region; an extraction process of extracting, from the cost calculation rule table, the cost calculation formula in the second storage region included in the configuration management information acquired in the acquisition process; a first calculation process of calculating a cost estimate value by the cost calculation formula by acquiring, from the performance/capacity history table, a value to be substituted in as a variable of the cost calculation formula; a creation process of creating a cost estimate result including a cost estimate value calculated in the first calculation process, the first storage region, the second storage region, and the type of the usage configuration using the second storage region; and an output process of outputting the cost estimate result created in the creation process.

Abstract: A device for facilitating event processing is presented. The device includes a transceiver, one or more memories including an event processing model, and one or more processors. The processors retrieve a new event from an application programming interface (API). The processors then parse the new event to determine a parsed event and store the parsed event in the memories. After determining the presence or absence of an additional new event via the API, the processors transmit a notification for display to a user indicating the parsed event and prompting a user to process the parsed event, resulting in either a successful or a failure processing signal. Responsive to receiving a failure processing signal, the processors schedule a subsequent notification for transmission to the user device according to an event processing model by using an exponential back-off and a random jitter.

Abstract: Use of artificial intelligence (AI)/machine learning (ML) models is disclosed to determine sequences of user interactions with computing systems, extract common processes, and generate robotic process automation (RPA) robots. The AI/ML model may be trained to recognize matching n-grams of user interactions and/or a beneficial end state. Recorded real user interactions may be analyzed, and matching sequences may be implemented as corresponding activities in an RPA workflow.

Abstract: A vulnerability-solution resolution (VSR) system is disclosed that is designed to create and maintain associations between vulnerabilities identified by third-party scanners (TPSs) and solutions, such as software patches received from third-party vendors. The VSR system includes a data scheme that enables information regarding vulnerabilities and solutions to be stored, and enables certain relationships to be automatically created between these vulnerabilities and solutions. In particular, the VSR system is designed to automatically form certain relationships between particular vulnerabilities and solutions based on solution supersedence and inheritance. Additionally, the VSR system includes a graphical user interface (GUI) that enables a user to exclude particular relationships from consideration when recommending solutions to resolve a vulnerability or when calculating metrics regarding the vulnerability.

Abstract: A method for time series forecasting includes receiving a time series forecasting query from a user requesting the data processing hardware to perform a plurality of time series forecasts. Each time series forecast is a forecast of future data based on respective current data Simultaneously, for each time series forecast of the plurality of time series forecasts requested by the time series forecasting query, the method includes training a plurality of models for the respective time series forecast. The method also includes determining which model of the plurality of models best fits the respective time series forecast and forecasting the future data based on the determined best fitting model and the respective current data. The method also includes returning, to the user, the forecasted future data for each of the plurality of time series forecasts request by the timer series forecasting query.

Abstract: To increase the efficiency of a used vehicle data processing process while still tailoring to an individual user's unique specifications on a used vehicle, at least some pre-calculations are performed by a backend process before a request for data for a specified vehicle is received through a web site or a web server on the Internet. A user can be presented with an interface where the user can make a variety of determinations. After the user requests data on a specific vehicle configuration, a frontend process handles user-provided data in conjunction with the data calculated in the backend process to ensure that the results are better tailored to the user's specific vehicle attributes. The results can include pricing data such as a trade-in price, a list price, an expected sale price or range of sale prices, market low sale price, market average sale price, market high sale price, etc.

Abstract: A planned resource allocation data store may contain electronic records representing a plurality of planned resource allocations for an enterprise. An actual resource allocation data store may contain electronic records representing a plurality of actual resource allocations. A back-end application computer server may receive, from a remote user device associated with a first user identifier, data about planned and actual resource allocations and update the data stores. The computer server may also receive an indication of a period of time to be analyzed and access information in the planned and actual resource allocation data stores associated with the first user identifier and the period of time. A total planned occupancy value and a total actual occupancy value may then be calculated and displayed via an interactive user interface based on the accessed information.

Abstract: A system for implementing a trial in one or more fields is provided. In an embodiment, an agricultural intelligence computing system receives field data for a plurality of agricultural fields. Based, at least in part, on the field data for the plurality of agricultural fields, the agricultural intelligence computing system identifies one or more target agricultural fields. The agricultural intelligence computing system sends, to a field manager computing device associated with the one or more target agricultural fields, a trial participation request. The server receives data indicating acceptance of the trial participation request from the field manager computing device. The server determines one or more locations on the one or more target agricultural fields for implementing a trial and sends data identifying the one or more locations to the field manager computing device.

Abstract: A method, system and computer-readable medium for analyzing contact studies for a call service center is presented. The method includes the steps of: acquiring data instances of a Collector tool from all persons monitoring contacts at a call service center during a given study period; retrieving a study design from a Planner tool to verify that acquired data instances conform to the study design; selecting data parameters for the acquired data instances, wherein the data parameters describe multiple features of the acquired data; automatically selecting an appropriate chart format that is appropriate for measurement units used by the data parameters; and creating a chart using the appropriate chart format and the data parameters. The steps in the method may all be automatically performed by an Analyzer logic.

Abstract: A method and system for allocating displays to a plurality of stores grouped into a plurality of store configurations is presented. It includes receiving a plurality of counts, that specifies spaces available in the store configuration for one of a plurality of types of displays, a ranking of a plurality of displays, wherein the ranking is based on a benefit of each of the plurality of displays for the store configuration, and when the plurality of displays are to be allocated to the plurality of stores; determining a subset of the plurality of displays that meet one or more conditions related to at least one of a forecasted sell through or forecasted margin of the plurality of displays for the store, allocating at least some of the displays based on the ranking of the displays, and generating an indication of the allocated displays for output to a user.

Abstract: Techniques facilitating maintenance of tribal knowledge for accelerated compliance control deployment are provided. In one example, a system includes a memory that stores computer executable components and a processor that executes computer executable components stored in the memory, wherein the computer executable components include a knowledge base generation component that generates a knowledge graph corresponding to respective commitments created via tribal exchanges, the knowledge graph comprising a semantic level and an operational level; a semantic graph population component that populates the semantic level of the knowledge graph based on identified parties to the respective commitments; and an operational graph population component that populates the operational level of the knowledge graph based on tracked status changes associated with the respective commitments.

Abstract: A vulnerability-solution resolution (VSR) system is disclosed that is designed to create and maintain associations between vulnerabilities identified by third-party scanners (TPSs) and solutions, such as software patches received from third-party vendors. The VSR system includes a data scheme that enables information regarding vulnerabilities and solutions to be stored, and enables certain relationships to be automatically created between these vulnerabilities and solutions. In particular, the VSR system is designed to automatically form certain relationships between particular vulnerabilities and solutions based on solution supersedence and inheritance. Additionally, the VSR system includes a graphical user interface (GUI) that enables a user to exclude particular relationships from consideration when recommending solutions to resolve a vulnerability or when calculating metrics regarding the vulnerability.

Abstract: Systems and methods are provided for receiving, from a computing device, a selection of a template for a custom microservice and configuration parameters for the custom microservice, generating the template for the custom microservice using the configuration parameters, the template for the custom microservice comprising defined interfaces for accessing core microservices, defined integration points for integration with a system providing the core microservices, and stubs for custom components for the custom microservice, and providing the template for the custom microservice to the computing device, wherein custom components for the custom microservice are added to the template via the computing device using the stubs for the custom components. The systems and methods further provide for registering the custom microservice to be exposed to and accessed by a tenant with authorization to access the custom microservice along with the core microservices.

Abstract: Embodiments herein describe a predictive delivery planning system that includes a forecaster that predicts simulated orders (e.g., forecasted orders) for multiple different demand scenarios. Once the simulated orders are selected, a route planner can generate routes for delivering the simulated and actual customer orders for each scenario. The planning system then converts these routes in labor plans indicating the amount of time a delivery driver would need to deliver the orders. The planning system identifies a set of labor blocks from the labor plans and determines whether these blocks satisfy a utilization threshold. Put differently, the planning system uses a releasing policy that releases labor blocks whose expected utilization is higher than a predetermined threshold. The released labor blocks are then displayed to delivery drivers who can then select how many of the labor blocks they would like to work.

Abstract: An information processing apparatus includes a detector and a command unit. The detector detects movement of a user using a display device based on an image photographed by the display device that displays a virtual-space image in such a manner as to be overlapped with a real space and that has a photographing function. The command unit commands the display device to display, as the virtual-space image, relevant information related to input information input to an input target at a position near the input target based on the detected movement of the user.

Abstract: This disclosure provides systems, methods and apparatuses for detecting anomalous activity in an electronic system. In some implementations, a system generates a set of model parameters based on a number (n) of historical datapoints in a dataset, where each datapoint represents activity detected in the electronic system over a respective period of time. The system receives a first new data point for the data set and generates a first test parameter based on a value of the first new datapoint and an average and a measure of spread of the n historical datapoints. The system further compares the first test parameter to the set of model parameters and determines whether the first new datapoint represents an anomaly based at least in part on the comparison.

Abstract: To increase the efficiency of a used vehicle data processing process while still tailoring to an individual user's unique specifications on a used vehicle, at least some pre-calculations are performed by a backend process before a request for data for a specified vehicle is received through a web site or a web server on the Internet. A user can be presented with an interface where the user can make a variety of determinations. After the user requests data on a specific vehicle configuration, a frontend process handles user-provided data in conjunction with the data calculated in the backend process to ensure that the results are better tailored to the user's specific vehicle attributes. The results can include pricing data such as a trade-in price, a list price, an expected sale price or range of sale prices, market low sale price, market average sale price, market high sale price, etc.

Abstract: The present disclosure relates to a computer implemented appraisal system (100). A repository (102) stores a set of pre-defined organization rules, a lookup table having a list of employees, and actual emoluments, computed historical appraisal score values, employee details, and a set of pre-determined parameters corresponding to each of the employees, and a predicted weightage corresponding to each of the set of pre-determined parameters. An analyzer (104) analyzes the stored employee details to generate a plurality of clusters of employees. A matrix creator (106b) creates a matrix for each of the pre-determined parameters, and populates each cell of the created matrix with a rating value by comparing a score value of each of the employees associated with the cell. A ranking module (106a) generates a rank value for each of the employees. A validation module (110) identifies an error or a bias. A computation module (112) computes emoluments for each of the employees.

Abstract: A server comprises a communications module; a processor coupled to the communications module; and a memory coupled to the processor, the memory storing processor-executable instructions which, when executed, configure the processor to receive, via the communications module and from a remote computing device, user input indicating a response to one or more prompts; generate an aspirational profile for a user based at least on the received user input; receive, via the communications module and from a monitoring application installed on the remote computing device, monitoring data; generate a behavior profile for the user based at least on the monitoring data; and when the behavior profile is misaligned with the aspirational profile, send, via the communications module and to the remote computing device, a notification indicating that the behavior profile is misaligned with the aspirational profile.

Abstract: A device for facilitating event processing is presented. The device includes a transceiver, one or more memories including an event processing model, and one or more processors. The processors retrieve a new event from an application programming interface (API). The processors then parse the new event to determine a parsed event and store the parsed event in the memories. After determining the presence or absence of an additional new event via the API, the processors transmit a notification for display to a user indicating the parsed event and prompting a user to process the parsed event, resulting in either a successful or a failure processing signal. Responsive to receiving a failure processing signal, the processors schedule a subsequent notification for transmission to the user device according to an event processing model by using an exponential back-off and a random jitter.

Abstract: Methods, systems, and apparatus for calibrating data using relaxed benchmarks constraints are described. An example apparatus for generating a unique solution when calibrating data via a calibration model having relaxed benchmark constraints includes a calibration engine to execute the calibration model based on a target loss function, a weight loss function, and a budget parameter. The example apparatus further includes a calibrated weights determiner to determine calibrated weights resulting from execution of the calibration model. The example apparatus further includes a calibration model validator to incorporate a stability parameter into the calibration model in response to determining that the calibrated weights do not provide a unique solution for the executed calibration model. The stability parameter is to reduce an influence of the budget parameter on the calibration model to enable the generation of a unique solution.

Abstract: A method and a system for pre-emptive deviation detection for a telecom process flow using digital twin. The proposed method and system pre-emptively detects critical failures in the telecom process flow even before they occur by pre-emptively detecting deviations based on digital twin. The proposed pre-emptive deviation is dynamically detected based on digital twin wherein, a simulated digital twin of telecom process flow is compared with a simulated predicted telecom process flow. Further based on pre-emptively detected deviation, notifications are displayed to execute preventive measures to ensure critical failures are avoided.

Abstract: A method implemented on an augmented reality (AR) device includes receiving an image of an object at the AR device. The image is displayed on a display screen of the AR device. One or more activating actions are received at the AR device. As a result of the one or more activating actions: the object is identified, an identity of the object is sent to a server computer, information is received from the server computer regarding a percentage of completion towards a goal relating to the object and a representation of the percentage of completion towards the goal relating to the object is visually displayed on the image of the object.

Abstract: Described herein are embodiments of a system that permits various entities (e.g., hiring, staffing, and client computer systems and/or devices) involved in the placement of a candidate to a job to interact systematically to carry out functions that conventional systems are unable to perform. These functions may, for example, include synchronizing systems of different entities involved in placing a worker, effectively tracking a temporary workers during a placement and/or hiring process, and post placement activities. To this end, systems and method are provided that permit a handshake process between disparate systems to complete a candidate placement process, timesheet approval and processing, consolidated invoicing, customized analytics and reporting, supplier onboarding of temporary workers, and post-hiring tracking, among other novel tools, interfaces and functionality.

Abstract: Methods, systems, apparatus, including computer programs encoded on computer storage media, for reclaiming storage space in a storage environment. In one aspect, the method includes actions of aggregating data that is indicative of access to one or more data objects, determining a future storage cost associated with each of a plurality of data objects, determining an access window for each of the plurality of data objects, identifying a data object based on (i) the future storage cost that satisfies a predetermined threshold and (ii) a data object access window, providing a notification to a user device that requests feedback from a user indicating whether the data object can be deleted, and in response to receiving data that indicates that the data object can be deleted, generating an instruction to cause deletion of the data object upon the expiration of the access window.

Abstract: Embodiments described include systems and methods of determining one or more links of one or more network applications to access to perform a task is provided. The method can include receiving, by a server, a request from a client application on a client device. The request can identify a name of a task to be performed. The client application can include an embedded browser for accessing one or more network applications. The method can include determining, by the server, one or more links of the one or more network applications hosted on one or more third party servers that are to be used to perform a task identified by the name of the task. The method can include causing, responsive to the request and to perform the task, the embedded browser of the client application on the client device to access the one or more links of the one or more network applications hosted on the one or more third party servers.

Abstract: Embodiments of the invention provision multiple payment tokens on a communication device. The communication device may be provisioned with multiple limited use keys (LUK), each LUK being associated with a specific type of transaction. When the communication device is used for a transaction, the communication device automatically determines a type of the transaction and selects an appropriate LUK based on the determined transaction type. The selected LUK may be used to create a cryptogram, which can be used to verify the transaction.

Abstract: A tax communication system facilitates the interaction between a person and professional. The professional is located in a database access by a portal. The person uploads documents pertinent to the service provided by the professional and grants the access to view the documents. The professional performs their service and generates forms to document the service. The forms are shared to the person via the portal.

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: An interactive transaction system is provided. A terminal, located adjacent or in proximity to a merchandise display, comprises a touch screen device, associated with the product category, configured to present a subset of products within the product category, determining the subset of products within the product category according to an algorithm that may take into account a profile of a shopper interacting with the terminal, a location of the terminal inside the physical merchant store, and products that are located in proximity to the terminal. The terminal is further configured to receive a shopper selection associated with at least one of the products in the subset of products within the product category for fulfillment.

Abstract: A method for location measurement analysis, preferably including associating a location measurement with a geofence by receiving a location measurement, selecting candidate geofences, determining features, and/or classifying the location. A system for location measurement analysis, preferably including a computing system, and optionally including one or more containers and/or one or more location sensors associated with each container.

Abstract: The present invention relates to a method, system, and non-transitory computer-readable recording medium for designing a building model by using valuation. According to one aspect of the invention, there is provided a method for designing a building model by using valuation, comprising the steps of: acquiring information on construction elements and information on financial elements regarding a building site; and hierarchically generating design models for at least one item of a building outline shape that is placeable on the building site, a building core structure that is applicable to the building outline shape, an area distribution according to a purpose of use in the building core structure, and a planar structure of each floor of the building according to the area distribution, on the basis of the acquired information.

Abstract: A method, computing device and computer program product are provided to obtain information from a plurality of dissimilar records by estimating the most accurate value for each field of the plurality of records. A computing device may include processing circuitry configured to: receive a first record including two or more elements, where a first element of the first record has a first value; receive a second record comprising two or more elements, where a first element of the second record has a second value; receive a third record having two or more elements, where a first element of the third record has a third value; and determine a resultant value for the first element, where the resultant value for the first element is determined based on a frequency of occurrence of a value for the first element among the first value, the second value, and the third value.

Abstract: An approach is provided for automatically identifying abandoned applications and services. The approach includes determining application management data related to the application. The application management data includes characteristics indicating a lifecycle of the application within a computing infrastructure. The approach also includes extracting one or more features from the application management data. The approach further includes processing the one or more features using a trained machine learning model to classify the abandonment status of the application, wherein the abandonment status includes an abandoned state and a non-abandoned state.

Abstract: Provided are techniques for detecting and highlighting insightful comments in a thread of content. A context is determined for a thread of content including comments. Each of the comments in the thread of content is analyzed to determine which comments are insightful and which comments are not insightful. At least one of highlighting the comments that are insightful and hiding the comments that are not insightful are performed. Semantic relationships are used to provide supporting evidence and cross references to additional information for the comments that are related to the context.

Abstract: Methods and systems for generating a planogram for a retail facility include an electronic device having a display screen and a camera. After a product physically stocked on a shelf on the sales floor of the retail store and contemplated to be replaced on the shelf by a better performing product is identified, a diminished reality virtual image of the location on the shelf where the product is physically positioned (but with the product to be replaced being omitted) is generated on the display screen. A virtual list including suggested replacement products selectable to virtually replace the product is then generated on the display screen, enabling selection of a replacement product. Then, based on the selected replacement product, a planogram is generated for the retail facility, with the selected replacement product being virtually displayed at the location from which the product physically positioned on the shelf was virtually removed.

Abstract: Disclosed are various embodiments for generating a sort zone assignment plan for packages expected to arrive at a facility during a predetermined period of time. Prior to arrival of the packages at the facility, a sort zone assignment plan is generated that optimizes distribution of the plurality of packages to a plurality of sort zones within the facility for a given sorting cycle. Once a package arrives at the facility, the package is scanned and the sort zone assignment is determined according to the sort zone assignment plan. The package is then transferred to the assigned sort zone.

Abstract: A server comprises a communications module; a processor coupled to the communications module; and a memory coupled to the processor, the memory storing processor-executable instructions which, when executed, configure the processor to receive, via the communications module and from a remote computing device, user input indicating a response to one or more prompts; generate an aspirational profile for a user based at least on the received user input; receive, via the communications module and from a monitoring application installed on the remote computing device, monitoring data; generate a behavior profile for the user based at least on the monitoring data; and when the behavior profile is misaligned with the aspirational profile, send, via the communications module and to the remote computing device, a notification indicating that the behavior profile is misaligned with the aspirational profile.

Abstract: A system and method of acquiring and verifying information is provided. The system comprises a processor, and a memory comprising a sequence of instructions which when executed by the processor configure the processor to perform the method. The method comprises acquiring data from a data source associated with an author of the data, normalizing the acquired data, determining, by the processor, an identity of the author of the data, classifying the normalized data based on the identity and acquired metadata, and storing in a memory the normalized data. Normalizing the acquired data comprises parsing the acquired data for meaningful information, extracting metadata from the acquired data, and mapping the parsed information to internal data structures.

Abstract: Particular embodiments may receive, by one or more processors of an information processing system, results from completion of a plurality of iterations of a task performed by a worker. The volume of the results for the worker may be determined to be insufficient. A set of similar workers may be identified, wherein each of the similar workers has a sufficient volume of results for the task. A weighted score of similarity between the worker and the similar workers may be assigned based on the results of the task as completed by the similar workers. Estimates based on the weighted similarity score may be provided for the worker's behavior for the task.

Abstract: Systems and methods are provided for receiving, from a computing device, a selection of a template for a custom microservice and configuration parameters for the custom microservice, generating the template for the custom microservice using the configuration parameters, the template for the custom microservice comprising defined interfaces for accessing core microservices, defined integration points for integration with a system providing the core microservices, and stubs for custom components for the custom microservice, and providing the template for the custom microservice to the computing device, wherein custom components for the custom microservice are added to the template via the computing device using the stubs for the custom components. The systems and methods further provide for registering the custom microservice to be exposed to and accessed by a tenant with authorization to access the custom microservice along with the core microservices.

Abstract: Systems and methods include periodically sending a probe to a cloud application where the probe simulates user activity in the cloud application; receiving a response to the probe and determining one or more statistics of the cloud application based on the response; incorporating the one or more statistics in historical statistics; and causing a notification when any of the one or more statistics exceeds a defined threshold. The probe can be a cloud-based probe from a cloud-based system, and the systems and methods can also include receiving a response to an on-premises probe that was sent by a distributed agent that is separate from the cloud-based system; and incorporating one or more statistics associated with the response to the on-premises probe in the historical statistics.

Abstract: Techniques for seasonality-based anomaly detection and forecast are described. For example, a method of receiving a request to generate forecast for received time series data; performing a seasonality-based anomaly detection and forecast for the received time series data based upon the received request, the seasonality-based anomaly detection and forecasting to utilize a second data structure that reflect anomalies found in a first data structure on the input from the received time series data; and providing a result of the performed seasonality-based anomaly detection and forecast is described.

Abstract: The topology and operation of virtual entities and sub-entities of a data center may be monitored and correlated to services and customers supported by the data center.

Abstract: An embodiment may involve receiving, from one or more server devices, representations of past amounts spent on paid search engine listings for a web site and representations of paid search conversions involving the web site that are attributable to the paid search engine listings. The embodiment may also involve receiving representations of past amounts spent on the display promotions for the web site and representations of display conversions involving the web site. The embodiment may also involve receiving a request for a graphical representation of the cross-channel performance of the web site with respect to conversions. In response to receiving the request for the graphical representation of the cross-channel performance of the web site, the computing system may transmit the graphical representation of the cross-channel performance of the web site.

Abstract: During operation, the system receives a set of input signals containing electrical usage data from a set of smart meters, which gather electrical usage data from customers of the utility system. The system uses the set of input signals and a projection technique to produce projected loadshapes, which are associated with electricity usage in the utility system. Next, the system identifies a closest time period in a database containing recent empirically obtained load-related parameters for the utility system, wherein the load-related parameters in the closest time period are closest to a present set of load-related parameters for the utility system. The system then iteratively adjusts the projected loadshapes based on changes indicated by the load-related parameters in the closest time period until a magnitude of adjustments falls below a threshold. Finally, the system predicts electricity demand for the utility system based on the projected loadshapes.

Abstract: Coordinating scheduled events and aperiodic events to execute objects to extract, transform, and load data from source systems to a structured data store. An event manager process executing on a server runtime utilizes event suspension, consolidation, and sequencing techniques to ensure that only one event process is executed for a particular time range.

Abstract: A creative brief schema is described. A service provider system, such as a creative service provider system, supports the creation of digital content in connection with digital content creation projects by employing the creative brief schema. Initially, the service provider system defines the schema as a set of rules for controlling configuration of creative briefs to register digital content creation projects. The service provider system provides service to support digital content creation based on the data included in the creative briefs. For instance, the service provider system provides service by leveraging the descriptive data configured according to the set of rules defined by the schema, which specify particular attributes that are to be instantiated to describe digital content creation projects. Examples of these attributes include a brief identifier, a brief name, associated products or services, creative spend, expected performance, audience demographics, delivery channels, mood, and so forth.

Abstract: A device may obtain process data relating to a set of processes. The device may process the process data to generate a process analysis model. The device may classify, using the process analysis model, a particular process into a particular class of a set of classes of the process analysis model. The device may automatically assess the particular process based on the particular class, wherein a set of assessment parameters for assessing the particular process is selected based on the particular class, and wherein an assessment score is assigned to the particular process based on values for the set of assessment parameters. The device may determine, based on the assessment score and the particular class, an automation recommendation for the particular process. The device may automatically complete the particular process using a particular tool based on determining the automation recommendation.