Abstract: A system and method are disclosed for solving a supply chain planning problem modeled as a linear programming (LP) problem. Embodiments further include receiving a multi-period matrix formulation of a least a portion of an LP supply chain master planning problem representing a supply chain planning problem for a supply chain network and having a planning horizon divided into time buckets separated by time-bucket boundaries, mapping constraints of the LP supply chain master planning problem and variables of the LP supply chain master planning problem to the time buckets, calculating a quantity of cross-over variables for the constraints and the time buckets, selecting one or more decomposition boundaries from the time-bucket boundaries, and formulating at least two time-based decomposed subproblems by decomposing the LP supply chain master planning problem at the one or more decomposition boundaries.

Abstract: The techniques described herein relate to techniques for verifying a veracity of machine learning outputs. An example method includes receiving a first output generated by a first model responsive to a first input, the first output comprising one or more verifiable statements in text, verifying, using a second model and first reference data stored in at least one first datastore, the one or more verifiable statements to produce first verification results indicating which of them has been verified, when it is determined that at least one of them remains unverified based on the first verification results, identifying, using at least one of the first or second models, at least one second datastore having second reference data attesting to veracity of the first output; and verifying, using the second model and the second reference data, the at least one unverified statement to produce second verification results to be provided as output.

Abstract: A system includes a memory device and a processor, operatively coupled with the memory device, to perform operations including receiving, from a device via a brokering agent, a request to provide an encrypted version of a set of secrets data corresponding to a target state of the device, determining whether to authorize the request in view of the brokering agent, and in response to authorizing the request, providing the encrypted version of the set of secrets data and permission to transition to the target state.

Abstract: A computer-implemented method for managing a contact center having a plurality of agents includes (a) receiving real-time data associated with each of a plurality of agents servicing incoming communications for the contact center, (b) categorizing each of the plurality of agents into a respective one of a plurality of burnout risk categories by processing the real-time data associated with each of the plurality of agents using a trained supervised machine learning model having a plurality of input features, (c) determining, based on a specification of a logical directive, an operation to be performed in relation to at least one agent in the plurality of agents, wherein the specification has at least one condition relating to the categorizing of each of the plurality of agents into the respective one of the plurality of burnout risk categories, and wherein the specification defines the operation to be performed in relation to the at least one agent in the plurality of agents upon the condition being satisfied,

Abstract: Provided are an index value calculator to calculate an index value obtained by quantifying a degree of status for evaluation items, a teamwork evaluator to evaluate a teamwork based on the index value, a support content determiner to select target persons to be supported including the members of the team based on the evaluation result of the teamwork and determine support contents in accordance with the target persons to be supported, and a presentation information generator to generate presentation information for presenting the determined support contents for each of the output devices corresponding to the selected target persons to be supported, and the teamwork evaluator evaluates the teamwork using an evaluation logic configured by combining logical formulas for comparing a threshold value set for evaluation items with the calculated index value.

Abstract: An object of the present invention is to provide a flowerbed sales order system, which enables a user to order a flowerbed with a simple method without having the user design the flowerbed from scratch. The present invention relates to a flowerbed sales order system comprising a user terminal and a server apparatus capable of communicating with the user terminal, the system comprising: a flowerbed storage that stores information regarding flowerbeds; a flowerbed recommendation displayer that recommends and displays a flowerbed based on a prescribed condition; an order placement request transmitter that transmits an order placement request of the recommended and displayed flowerbed; and an order placement request receiver that receives the order placement request.

Abstract: An information processing apparatus manages productivity by processing information obtained from one or more image forming apparatuses, and includes: a hardware processor that: acquires operation history information from the image forming apparatus; analyzes the operation history information and determines an improvement measure for improving the productivity based on an analysis result; and outputs the improvement measure.

Abstract: Computer-based systems and methods for risk/reward detection, visualization, and resolution using modular chainable algorithms are provided. The system allows for computer-based modeling of large data sets with improving processing speed and utilizing fewer computational resources. The modular chainable algorithms included embedded program code executable by a processor for performing a data modeling or analytic function on source data, visualization code for visualizing output of the program code, and workflow code for automatically performing one or more actions relating to the data modeling or analytic function.

Abstract: A computer system receives customer records listing customer attributes and an adoption status of the customer, such as whether the customer has enrolled in a particular energy efficiency program. An initial set of patterns are identified among the customer records, such as according to a decision tree. The initial set is pruned to obtain a set of patterns that meet minimum support and effectiveness and maximum overlap requirements. The patterns are assigned to segments according to an optimization algorithm that seeks to maximize the minimum effectiveness of each segment, where the effectiveness indicates a number of customers matching the pattern of each segment that have positive adoption status. The optimization algorithm may be a bisection algorithm that evaluates a linear-fractional integer program (LFIP-F) to iteratively approach an optimal distribution of patterns.

Abstract: Systems and methods for utilizing a spatial statistical model to maximize efficacy in performing trials on agronomic fields are disclosed herein. In an embodiment, a system receives first yield data for a first portion of an agronomic field, the first portion of the agronomic field having received a first treatment, and second yield data, for a second portion of the agronomic field, the second portion of the agronomic field having received a second treatment that is different than the first treatment. The system uses a spatial statistical model and the first yield data to compute a yield value for the second portion of the agronomic field, the yield value indicating an agronomic yield for the second portion of the agronomic field if the second portion of the agronomic field had received the first treatment instead of the second treatment. Based on the computed yield value and the second yield data, the system selects the second treatment.

Abstract: Systems and methods for determining and presenting a graphical user interface including template metrics are disclosed. Exemplary implementations may: manage templates for work unit records that define units of work managed, created, and/or assigned within a collaboration environment; create one or more first work unit records based on the first template; monitor the units of work created using the templates to determine template information; determine template metric values for template metrics associated with the templates based on the template information such that first template metric values for the template metrics associated with the first template are determined based on the first template information; and effectuate presentation of a graphical user interface including the templates and the template metric values for the template metrics associated with the templates.

Abstract: In an aspect, an apparatus for generating resource allocation recommendations is presented. An apparatus includes at least a processor. An apparatus includes a memory communicatively connected to at least a processor configuring the at least a processor to receive resource allocation data. At least a processor is configured to compare resource allocation data to an allocation improvement metric. At least a processor is configured to determine, as a function of a comparison, resource feedback. At least a processor is configured to provide a resource allocation recommendation to a user as a function of resource feedback.

Abstract: Systems and methods for data analytics are described. One or more embodiments of the present disclosure receive target time series data and candidate time series data, where the candidate time series data includes data corresponding to each of a plurality of candidate metrics, train a prediction network to predict the target time series data based on the candidate time series data by setting temporal attention weights corresponding to a plurality of rolling time windows and by setting candidate attention weights corresponding to the plurality of candidate metrics, identify a leading indicator metric for the target time series data from the plurality of candidate metrics based on the temporal attention weights and the candidate attention weights, and signal the leading indicator metric for the target time series data.

Abstract: A system and method are disclosed for solving a supply chain planning problem modeled as a linear programming (LP) problem. Embodiments further include receiving a multi-period matrix formulation of a least a portion of an LP supply chain master planning problem representing a supply chain planning problem for a supply chain network and having a planning horizon divided into time buckets separated by time-bucket boundaries, mapping constraints of the LP supply chain master planning problem and variables of the LP supply chain master planning problem to the time buckets, calculating a quantity of cross-over variables for the constraints and the time buckets, selecting one or more decomposition boundaries from the time-bucket boundaries, and formulating at least two time-based decomposed subproblems by decomposing the LP supply chain master planning problem at the one or more decomposition boundaries.

Abstract: An image masking method is provided. The method includes: extracting an object from an image; obtaining characteristic information about the extracted object by analyzing the extracted object; determining whether the extracted object is a masking target according to an input setting value or the obtained characteristic information; and performing masking such that the obtained characteristic information is reflected on the extracted object, in response to determining that the extracted object is the masking target among a plurality of objects extracted from the input image, wherein the setting value is set by an input designating at least a partial region in the input image, and wherein in the determining whether the extracted object is the masking target, an object positioned in the at least a partial region is determined as the masking target among the extracted objects.

Abstract: Disclosed is a method and system for a single broadband portal where all content may be delivered to users of varied electronic devices. An example embodiment (i) provides a user interface for enabling user selection of media contents per varied electronic devices, each varied electronic device having a respective platform, the user interface indicating one or more different possible media contents; (ii) accepts from a user requests for distribution service to any of the varied electronic devices of the user, the requests specifying a user desired media content; (ii) locates the user desired media content from a plurality of storage modules; (iv) transmits the user desired media content to at least one of the varied electronic devices of the user; and (v) tracks the transmission of the user desired media content for billing purposes.

Abstract: The disclosure herein describes a system for calculating meeting inclusion metrics including insights and recommendations. Meeting data associated with one or more meetings attended by at least one participant remotely is converted into anonymized meeting data for inclusivity metric analysis. An inclusivity insights manager generates inclusivity metrics associated with inclusive behavior and language occurring during meetings to measure the level of inclusivity. The inclusivity metrics include attendee participation metrics measuring an amount of participation by each meeting attendee, participation in-person versus participation remotely, concurrent speech indicating attendees may be talking over one another or other interruptions occurring during meetings. Inclusivity metric data includes insights and actionable recommendations to improve inclusivity at future meetings provided at an individual level, group level or organizational level.

Abstract: The present invention provides self-driven AI based system and method for operating one or more applications including enterprise application and supply chain management applications. The system includes centralized data lake for storing data received from plurality of distinct sources, a control tower configured for sensing change in attribute of the received data and determining impact of the change on plurality of functions of EA and SCM applications.

Abstract: Disclosed are systems, servers and methods for a multi-tenant framework that manages and controls operations of software as a service (SaaS) applications and services, and the data and metadata (e.g., files) created, updated and interacted with therefrom. The disclosed framework provides a centralized approach to managing the entitlement and provisioning of SaaS applications on client devices across a variety of channels on a network. The disclosed SaaS framework is configured for management, control, deployment and synchronization between devices, applications, systems and platforms both on-premises (on-prem or local devices/storage) and/or hosted on a network (e.g., a cloud platform, service or platform).

Abstract: A system to provide an automated data driven risk relationship review tool via a back-end application computer server of an enterprise. A resource allocation data store may contain electronic records representing requested resource allocations between the enterprise and a plurality of entities. The server may receive an indication of a selected requested resource allocation and retrieve, from the resource allocation data store, the electronic record associated with the selected requested resource allocation. The server may automatically calculate a first and second review date for the selected requested resource allocation and automatically establish, between at least two parties, a communication link based on the calculation of the first review date for the selected requested resource allocation.

Abstract: Example machine learning (ML) methods and systems for characterizing corn growth efficiency (CGE), and generating field management recommendations based on CGE values are disclosed. An example computing system includes one or more processors, and storage media. The media storing an ML model trained using a training agronomic data set labeled with one or more known CGE values corresponding to one or more trial agricultural fields. The media further storing instructions that, when executed, cause the system to: obtain a production agronomic data set corresponding to a target agricultural field; determine one or more input feature vectors based on the production agronomic data set; process the one or more input feature vectors, with the ML model, to generate one or more predicted CGE values for one or more portions of the target agricultural field; and provide the one or more predicted CGE values as an output.

Abstract: The present disclosure relate to equalization of audio transmissions that are used to transmit content, such as advertisements, promotions, redemptions, and/or other types of content (e.g., images, multimedia, audio, web-based, applications, and/or the like) between a first computing device. In some instances, the transmission may occur when the first computing device is located within proximity to a physical location, such as an entity or drive through location.

Abstract: A system and method for processing loans includes loan approval decision module that receives input from a loan applicant and collects external data including credit bureau data, bank transaction data, and social media data. The system also includes a machine learning module having a pre-processing subsystem, an automated feature engineering subsystem and a feature statistical assessment subsystem. A business objective determination module and an adverse notice notification module is also provided. The business objective determination module includes a weight optimization company valuation maximization model. A set of models is developed using the machine learning module to predict performance of the borrower based on the business objective determination.

Abstract: A system (100), method and computer program product for optimization of crop protection. A generator module (120) accesses one or more configuration data structures (220) wherein the one or more configuration data structures include data fields to store crop data (221), advice data (222) related to respective crop data, and crop protection product data (223) related to respective advice. Further, it accesses a plurality of code snippets (230) wherein each code snippet (231, 232, 233) has a condition which relates either to at least one property field of the one or more data structures (220) or to a result of another code snippet, and further includes generic program logic associated with the condition, and wherein each property field is used in the condition of at least one code snippet. The plurality of code snippets is applied to the one or more configuration data structures to generate an advice logic program.

Abstract: A system and method are disclosed for solving a supply chain planning problem modeled as a linear programming (LP) problem. Embodiments further include receiving a multi-period matrix formulation of a least a portion of an LP supply chain master planning problem representing a supply chain planning problem for a supply chain network and having a planning horizon divided into time buckets separated by time-bucket boundaries, mapping constraints of the LP supply chain master planning problem and variables of the LP supply chain master planning problem to the time buckets, calculating a quantity of cross-over variables for the constraints and the time buckets, selecting one or more decomposition boundaries from the time-bucket boundaries, and formulating at least two time-based decomposed subproblems by decomposing the LP supply chain master planning problem at the one or more decomposition boundaries.

Abstract: An icon moving method includes: receiving a first input performed by a user for a first application icon in a first home screen interface; displaying an indication identifier and a thumbnail of a second home screen interface in response to the first input, where an indication end of the indication identifier points to a first position in the thumbnail of the second home screen interface; receiving a second input performed by the user; and controlling, in response to the second input, the first application icon to move to a second position, corresponding to the first position, in the second home screen interface.

Abstract: The disclosure provides an operation adjustment method and system for metro trains under train out of service. The method includes: acquiring basic parameters of a metro system, information of the train out of service and the online normal running trains, determining follow-up train services and current train timetables thereof, adjusting the current timetables according to predicted time to stop service of the train out of service to obtain initial adjusted train timetables, determining canceled planned train services and rolling stocks for executing remaining planned train services, and adjusting the initial adjusted train timetables according to planned train timetables of the cancelled planned train services. The disclosure can automatically adjust the train operation, and reasonably change the train timetables and the rolling stock circulation plan, thereby reducing influences of the train out of service, and improving the degree of automation of the metro system to adapt to refined management.

Abstract: Various embodiments are provided for decentralized distributed deep learning by one or more processors in a computing system. Asynchronous distributed training of one or more machine learning models may be performed by generating a list of neighbor nodes for each node in a plurality of nodes and creating a first thread for continuous communication according to a weight management operation and a second thread for continuous computation of a gradient for each node. One or more variables are shared between the first thread and the second thread.

Abstract: The present disclosure provides a computer-implemented method, which includes receiving a dispute information pertaining to a billing dispute by a processor, from a device associated with a customer. The method includes computing, by the processor, a score based on the dispute information, for determining validity of the billing dispute. The billing dispute is categorized based on the score computed for the dispute information. One or more actions are subsequently presented to one or more parties associated with the dispute information for resolving the billing dispute. The processor is also configured to prioritize the one or more actions based on the score computed. The present disclosure also provides a system capable of implementing the aforesaid method for prioritizing and resolving the billing disputes in an automated manner.

Abstract: Example methods and apparatus to detect uninstallation of applications on mobile devices. An example apparatus includes means for detecting that an application is to be uninstalled from the mobile device. The apparatus includes means for displaying a prompt indicating whether the means for detecting is to be uninstalled when the application is to be uninstalled. The apparatus includes means for transmitting an uninstallation notification to a remote data collector when the application is to be uninstalled, the uninstallation notification to enable identification of at least one of the mobile device associated with the uninstallation or a user of the mobile device.

Abstract: A method for controlling an energy generation and storage system using a multi-layer architecture is provided. The method includes determining, by one or more control devices, a power or energy generation for the energy generation and storage system at a first layer of the multi-layer architecture. The method includes determining, by the one or more control devices, a power or energy set point for the system at a second layer of the multi-layer architecture. The method includes controlling, by the one or more control devices, the energy generation and storage system based, at least in part, on the power or energy setpoint.

Abstract: Embodiments can provide automated matching of items to cart items and generation and rendering of customized template blocks, such that the appearance of the template blocks is adaptive, with remote configuration and optimization at one or more stages of a process. An integration plugin can enable websites to present additional items that are associated with an item displayed on a web page. The integration plugin can be compatible with many websites, be plug-and-play, quickly installed, and not require significant programming effort from the website. Embodiments can provide integration into the web site leading to increased conversion rates. Embodiments can provide information from a first item for additional items without additional data entry. Embodiments can provide real-time performance tracking for monitoring and optimization. Embodiments can provide composite user interfaces to manage item matching, performance tracking, and configuration.

Abstract: A system, method, and computer-readable medium are disclosed for performing an eventually consistent event resolution operation. The eventually consistent event resolution operation includes: parsing entity identifier information, the parsing generating a plurality of entity identifier elements from the entity identifier information; normalizing an entity identifier element of the plurality of entity identifier elements to provide a normalized entity identifier element; associating the normalized entity identifier element with the entity to resolve the identity of the entity; and, performing an eventually consistent event resolution operation, the eventually consistent event resolution operation updating distributed data associated with the entity, distributed data corresponding to entity identifiers impacted by subsequent changes to entity mappings being updated by the eventually consistent event resolution operation to reflect a more recent entity mapping.

Abstract: In one embodiment, a method is provided. The method includes receiving forecast information from sales people in a computer. The method further includes receiving comments on specific entries of the forecast information from non-sales people in the computer. The method also includes receiving changes of the forecast information from the non-sales people in the computer. The method additionally includes providing a display of the comments and the changes to the sales people in an interface to the computer.

Abstract: Systems and methods for providing a universal format driven data transformation. In conventional ETL operations, the transform process that transforms data from the source format to the destination format is based on a transformation program. Conventionally, transform logic is developed around the chosen transform program. In accordance with an embodiment, a universal, format-driven data transform can be achieved through the use of a data transformation format. In accordance with an embodiment, a method for providing a universal format driven data transformation can include providing a transformation format in a file, wherein the transformation format is in a human-readable form; and providing, in the transformation format, keywords defining a target table type, a dataset list, and dataset operations to be performed on a dataset from the dataset list.

Abstract: Systems and methods for modeling, reporting, controlling and optimizing HVAC systems are provided. A server receives HVAC system data, processes the data and sends the processed data to a client device. The client device receives the processed data and then makes certain choices of analog and digital rules to apply to the data to reach conclusions about certain mechanical states of the system and flow efficiencies. The rule choices are sent to the server. The server analyzes the HVAC system based on the rules and generates a report. The report can be used to optimize the mechanical components of the HVAC system or control them directly in a feedback loop.

Abstract: An enhanced analytical engine system may perform the steps of providing optimized individual transaction recommendations. The system may receive a request comprising customer financial information, customer identification information, and vehicle identification information. The system may collect information associated with one or more vehicles within an inventory listing associated with one or more dealership systems. The system may then provide data representing information associated with the one or more vehicles within an inventory listing associated with the one or more dealership systems. The system may receive data indicating selection of a vehicle of interest. The system may determine a proposed offer package for the vehicle of interest comprising an associated overall price and at least one from among a warranty option, maintenance option, and service contract option based on the customer preferences information and historical transaction data.

Abstract: Disclosed is a method for estimating systematic yaw misalignment of a wind turbine. The method comprising the steps of: receiving yaw data from the wind turbine indicative of the degrees of rotation of the nacelle for a plurality of yaw operations; receiving performance data from the wind turbine indicative of the alignment of the nacelle of the wind turbine with the wind direction before and after each of the plurality of yaw operations. The yaw data and the performance data being recorded during normal operation of the wind turbine, and the yaw data and the performance data is processed together to estimate the systemic yaw misalignment of the wind turbine.

Abstract: A device may receive organization data defining first capabilities of an organization and industry trend data that is relevant to the organization. The industry trend data may define second capabilities that are relevant to the organization. The device may provide, as input to a capability model, the organization data and the industry trend data. The capability model may have been trained to produce, as output, data specifying recommended changes for the organization. The device may determine, based on the output of the capability model and the industry trend data, a recommendation. The device may perform an action based on the recommendation.

Abstract: Disclosed are various approaches for dynamically integrating a client application with multiple third-party services. An integration service receives a request to perform an action relative to a particular third-party service from a client device. The request is received through a first application programming interface (API) generic to a plurality of third-party services. The integration service communicates with the particular third-party service to perform the action using a second API specific to the particular third-party service. The integration service sends a response to the client device through the first API. The response is based at least in part on a result of the action and includes an indication of one of a plurality of predefined user interfaces.

Abstract: Some embodiments provide a system that facilitates use of a question-and-answer system. During operation, the system determines a community value of a question submitted by a first user to the question-and-answer system. Next, the system prioritizes answering of the question by a second user in the question-and-answer system based on the community value.

Abstract: A system and method are disclosed for solving a supply chain planning problem modeled as a linear programming (LP) problem. Embodiments further include receiving a multi-period matrix formulation of a least a portion of an LP supply chain master planning problem representing a supply chain planning problem for a supply chain network and having a planning horizon divided into time buckets separated by time-bucket boundaries, mapping constraints of the LP supply chain master planning problem and variables of the LP supply chain master planning problem to the time buckets, calculating a quantity of cross-over variables for the constraints and the time buckets, selecting one or more decomposition boundaries from the time-bucket boundaries, and formulating at least two time-based decomposed subproblems by decomposing the LP supply chain master planning problem at the one or more decomposition boundaries.

Abstract: An apparatus includes a memory and processor. The memory stores a graphical representation of a first database that includes source tables and columns. The graphical representation includes nodes associated with source tables and columns. The processor receives an instruction to transfer data from the first database to columns of a second database specified by destination column names. The processor identifies a subset of source columns such that a similarity score for each is greater than a threshold. The similarity score indicates a degree of similarity between a specific destination column name and either the assigned source column name or a related term. The processor uses the subset to generate a pruned graphical representation that includes a subset of nodes. The processor uses this to generate executable code configured to copy data from the first database, determined from the pruned graphical representation, into the second database.

Abstract: A system and method for collecting information related to harvesting, or processing, of cannabis plants. A mobile device scans a tag associated with a plant and determines a unique code from the scan. A scale weighs the plant and transmits the weight to the mobile device. The mobile device stores the weight in association with the unique code in a database. The system automatically advances to a next plant for processing without user intervention.

Abstract: Methods, devices, and non-transitory computer readable media that add interoperable BOTs to a stored BOT inventory. Each of the BOTs is associated with a BOT type, has a common structure, and automates at least a portion of an enterprise process. Assembly rules are obtained. Each of the assembly rules includes one or more constraints for inclusion of one or more of the BOTs in one or more of a plurality of workflows based on the one of the BOT types associated with each of the one or more of the BOTs. The workflows are assembled based on one or more the assembly rules. Each of the workflows comprises a subset of the BOTs and each BOT of the subsets of the BOTs is included in one or more of the workflows based on at least one of an associated functionality, performance, or service level.

Abstract: A computer-implemented method to generate a graphical user interface for a lead management system includes calculating, by a lead management system, lead management data based on determined type and format of the data and raw lead management data, generating first machine-readable instructions to render a graphical user interface including a first lead management data graphical representation, the first lead management data graphical representation including one or more graphical representations of electronic cards each configurable between: (i) a first orientation in which the electronic card displays a portion of the calculated lead management data; and (ii) a second orientation in which the electronic card displays first and second data relating to the type and format of the portion of the calculated lead management data, and transmitting, to a user electronic device, the first machine-readable instructions so as to cause the user electronic device to render the graphical user interface on a display associ

Abstract: A method to forecast a spike price of a commodity may include obtaining a request to perform a prediction of a spike in a price of a commodity. The method may also include obtaining additional information of the commodity based on the input. The method may also include determining, using a first machine learning algorithm, a probability of the spike based at least in part on the additional information. The method may include outputting the probability of the spike for visual representation on an electronic display in response to a determination that the probability of the spike is above a risk tolerance. The method may further include determining, using a second machine learning algorithm, a price prediction in response to a determination that the probability of the spike is below the risk tolerance, wherein determining the price prediction comprises outputting the price prediction for visual representation on the electronic display.

Abstract: Technologies are disclosed for providing a common information model. Features include: detecting a scheduled time for a key performance indicator reflecting how a service provided by one or more entities is performing, entity definition information recording the association between the entities and its machine data, service definition information associating the entities that provide the service, and the KPI being defined by a search query, including a field identifier specified in a data model, the KPI derives a value from the machine data; performing the query in response to said detecting, including: associating values in the machine data having disparate field names in accordance with disparate schemas with the field identifier specified in the data model, and processing the associated values as semantically equivalent data instances. In doing so, values having the same semantic (or related semantics) can be used together despite being associated with disparate field names from disparate schemas.

Abstract: Various examples for providing a dynamic runtime interface for device management are described. In one example, a computing environment can access metadata that describes a configuration of a user interface made in a profile template designer application. The computing environment can identify a request for a profile creator that provides at least one setting for a desired configuration of a client device enrolled with a management service, and, in response to the request being identified, dynamically generate the user interface using the metadata, where the user interface includes a configured to receive the at least one setting for the desired configuration of the client device. The computing environment can generate a configuration profile accessible by the client device that causes an agent application executable on the client device to configure the client device in accordance with the configuration profile.

Abstract: Core network slices that belong to a given operator community are efficiently tracked at the network control/user plane functions level, with rich data analytics in real-time based on their geographic instantiations. In one aspect, an enhanced vendor agnostic orchestration mechanism is utilized to connect a unified management layer with an integrated slice-components data analytics engine (SDAE), a slice performance engine (SPE), and a network slice selection function (NSSF) in a closed-loop feedback system with the serving network functions of one or more core network slices. The tight-knit orchestration mechanism provides economies of scale to mobile carriers in optimal deployment and utilization of their critical core network resources while serving their customers with superior quality.