Abstract: A method and system that allows on-the-fly synthesis and evaluation of services a scale has been provided. The method and system provide a mechanism where the service offering and their price points are accessible in a machine format and allow themselves to be lent to synthesize new service offerings with budgetary constraints, within the parameters of the predefined time windows. The system allows both a service provider and a service consumer to use a shared screen environment for service synthesis and valuation with the service provider playing the role of navigator. The system comprises of re-routing and navigating a plurality of nodes in the service composition graphs based on specified optimization parameters as chosen by the service consumer and tuned by the service provider. The method comprises of generation of the graph and graph traversal algorithms for along with service composition nodes and their specifications.

Abstract: Techniques for building automated workflow sequences associated with a document review platform are provided. A method includes accessing trigger event data from a trigger event database and action data from an action database; presenting a user interface to create a workflow; adding a function block to the workflow by: detecting a selection of an add function block option; presenting a function block including at least one of (i) a user-selectable option to select a trigger event from a list of trigger events populated based on the trigger event data or (ii) a user-selectable option to select an action from a list of actions populated based on the action data; and presenting the function block including at least one of a selected trigger event or a selected action; detecting that the workflow is ready for deployment; translating the workflow into a logic-based representation of the workflow; and deploying the logic-based representation.

Abstract: Disclosed communication flow modeling solution is significantly streamlined in a user friendly way to shield users from the technical complexities usually required. At design time, an orchestration flow modeling application receives user instruction to open or create a communication flow modeling project. Per configuration specific to an enterprise associated with the user, a custom drag-and-drop communication flow modeling environment with a canvas and modeling entities is provided. Responsive to the user dragging and dropping a set of modeling entities from the menu onto the communication flow modeling canvas and drawing connections between them, the orchestration flow modeling application logically connects the modeling entities to form a valid communication flow and stores it in a database. The communication flow undergoes an approval process. Once approved, it is activated for execution by an orchestration server.

Abstract: One aspect of the disclosure relates to systems and methods for determining probabilities of successful synthesis of materials in the real world at one or more points in time. The probabilities of successful synthesis of materials in the real world at one or more points in time can be determined by representing the materials and their pre-defined relationships respectively as nodes and edges in a network form, and computation of the parameters of the nodes in the network as input to a classification model for successful synthesis. The classification model being configured to determine probabilities of successful synthesis of materials in the real world at one or more points in time.

Abstract: A computer-implemented method, gaming device and computer-readable medium for an Augmented Reality (AR) application. The method includes maintaining an AR gaming environment during a gaming session. The method also includes receiving image data representing a real-world scene including one or more real-world objects. The method also includes detecting in the image data at least one real-world object from a set of detectable real-world objects. The method further includes upon detection of the at least one real-world object in the image data, generating at least one virtual character in the AR gaming environment, the at least one virtual character having an association with the at least one real-world object.

Abstract: A system and method for processing third party behavioral assessments that receives data for a first and second behavioral assessment, the first behavioral assessment assessing a first behavioral characteristic of a first person and the second behavioral assessment assessing a second behavioral characteristic of the first person; utilizes the first and second behavioral characteristics to calculate a behavioral parameter for the first person; compares the behavioral parameter against corresponding behavioral parameters for respective persons for a team; provides a user interface to a user device that is configured to receive a team dynamic selection; receives a hypothetical scenario dataset that describes how the first person would work with the respective persons of the team; determines an impact of including the first person in the team, based on the desired dynamic for the team and the hypothetical scenario dataset; and displays the impact via the user interface.

Abstract: Media, methods, and systems for automatically selecting and prefilling template structures within a group-based communication system. A template structure is automatically selected based on a received user input. A prompt including one or more keywords from the user input is submitted to a content fill model. The content fill model returns a response with content output used to automatically populate one or more content fields within the template structure.

Abstract: Real-time, point-to-point, on-demand ride dispatching system. The system provides for optimal operation including a fleet dimensioning module for determining an optimal number of vehicles in a fleet needed to serve a collection of trip requests, and a vehicle dispatching module for dispatching the fleet of vehicles to serve a selected number of trip requests. The fleet dimensioning module employs a shareability network to model trip requests that can be served by a same vehicle to find the minimum number of vehicles in the fleet to serve all trip requests in the collection of trip requests.

Abstract: An artificial intelligence enabled system is disclosed. The system includes a core component for enabling AI-powered interactions between the system and its users and one or more agents that understand user intent and automatically interact with products and services on the web and/or in the physical world through imitation of a human user.

Abstract: Training and using artificial intelligence (AI)/machine learning (ML) models to automatically supplement and/or complete code of RPA workflows is disclosed. A trained AI/ML model may intelligently and automatically predict and complete the next series of activities in RPA workflows (e.g., one, a few, many, the remainder of the workflow, etc.). Actions users take while creating workflows over a time period may be captured and stored. The AI/ML model may then be trained and used to match the stored actions with stored workflow sequences of actions in order to predict and complete the workflow. As more and more workflow sequences are captured and stored over time, the AI/ML model may be retrained to predict a larger number of sequences and/or to more accurately make predictions. Auto-completion may occur in real-time in some embodiments to save time and effort by the user.

Abstract: A method of training a system to interact with an application is disclosed. The system includes an interface model configured to translate one or more requests into a sequence of user interface (UI) actions on the application; the interface model comprising: a static model configured to understand UI components of an application; and a dynamic model configured to understand interactions among the UI components and operations that occur when a UI action is completed. The method includes: recording a demonstration of interacting with the application; converting, by the static model, the demonstration into an intermediate representation (IR); and examining the IR, by the dynamic model, to determine an entity, transition, and semantic of an UI that is part of the demonstration.

Abstract: Systems and methods are described for providing a risk assessment for a software application based on evidence obtained from one or more sources. In some aspects, security and compliance evidence may be obtained from one or more evidence sources, for an application offered through a service provider, where the evidence sources include operational data from the application executing within a runtime environment provided by the service provider. The obtained evidence may be mapped to risk assessment criteria to generate a risk assessment. In some cases, the risk assessment criteria includes a plurality of attributes of the application, with the attributes indicating potential vulnerabilities of the application. A representation of the risk assessment may be generated across at least some of the attributes based on the risk assessment comparison. The risk assessment representation may then be updated based on monitoring of the security and compliance evidence for the application.

Abstract: Managing tasks using an application-level blue-green topology with parallel cell infrastructure rails. Each cell infrastructure rail includes a dispatcher bot and a performer bot. The dispatcher bot is configured to prepare a work task based on a received request, and the performer bot performs the work task, resulting in performed work. A discovery server includes a service registry configured to store the states of the infrastructure rails. The discovery server receives the request for the work task, and sends the request to a dispatcher bot of a specific cell infrastructure rail based on the request and the states of the cell infrastructure rails. A respective workflow cell server receives the performed work. In the case that one cell infrastructure rail experiences a problem when processing the request, the cell infrastructure rails are switched to perform the request on the other cell infrastructure rail. The method implements the system.

Abstract: An artificial intelligence enabled system is disclosed. The system includes a core component for enabling AI-powered interactions between the system and its users and one or more agents that understand user intent and automatically interact with products and services on the web and/or in the physical world through imitation of a human user.

Abstract: Identifying data quality along a data flow. A method includes identifying quality metadata for two or more datasets. The quality metadata defines one or more of quality of a data source, accuracy of a dataset, completeness of a dataset, freshness of a dataset, or relevance of a dataset. At least some of the metadata is based on results of operations along a data flow. Based on the metadata, the method includes creating one or more quality indexes for the datasets. The one or more quality indexes include a characterization of quality of two or more datasets.

Abstract: A system including at least one smart device. The at least one smart device includes one or more programmable elements. The at least one smart device is configured to receive one or more customization instructions from a user device. The at least one smart device configures the one or more programmable elements in response to the customization instructions. Communicating between the user device and at least one smart device provides a seamless and integrated experience based on preferences or suggestions from user data analysis.

Abstract: An apparatus for success probability determination for a user is provided. Apparatus may include at least a processor and a memory communicatively connected to the processor. The memory may contain instructions configuring the at least a processor to receive a plurality of criteria; generate indicators as a function of the criteria; receive user specifications, the user specifications comprising credentials of a user; and classify the user specifications to a performance category of a plurality of performance categories based on the user specifications and the indicators.

Abstract: Various methods, apparatuses/systems, and media for implementing an API design and development module are disclosed. A receiver receives inputs for designing a specification. Codes are generated from the API specification and necessary business logic is added. A processor pushes the specification along with the code to a source control which automatically triggers a continuous integration/continuous deployment (CI/CD) pipeline in response to pushing of the specification along with the code to the source control. The CI/CD pipeline automatically executes, through pre-defined configuration, each phase of an API development life cycle to develop the API based on the designed specification.

Abstract: The method includes obtaining, by a restoration policy manager, a restoration request for a plurality of application containers, and in response to the restoration request: obtaining, by a backup server, container information associated with the plurality of application containers, assigning a restoration type to each application container in the plurality of application containers, updating a restoration type list based on the assigning, and initiating a restoration of the plurality of application containers using the restoration type list.

Abstract: Techniques for building automated workflow sequences associated with a document review platform are provided. A method includes accessing trigger event data from a trigger event database and action data from an action database; presenting a user interface to create a workflow; adding a function block to the workflow by: detecting a selection of an add function block option; presenting a function block including at least one of (i) a user-selectable option to select a trigger event from a list of trigger events populated based on the trigger event data or (ii) a user-selectable option to select an action from a list of actions populated based on the action data; and presenting the function block including at least one of a selected trigger event or a selected action; detecting that the workflow is ready for deployment; translating the workflow into a logic-based representation of the workflow; and deploying the logic-based representation.

Abstract: Technologies discussed include receiving a set of rules associated with a document type from a supplier entity. Each rule identifies a set of conditions and a set of actions to be taken after a document of a document type is signed if the set of conditions is satisfied. When a supplier entity sends a document of the document type to a signing entity and the signing entity provides an electronic signature, the system determines whether conditions of rules associated with the document type are satisfied. For each rule that is satisfied, the system performs actions identified by the rule.

Abstract: Systems and methods are described herein for generating for display, at an extended reality (XR) device executing an application, an XR environment comprising an entity and associated with an XR session of a user profile. Execution of the application enables the XR device, while generating for display the XR environment, to transmit data to, and receive data from, a particular device using a first communication protocol, and transmit data to, and receive data from, the entity using a second communication protocol. Based on monitored activity of the user profile during the XR session, the XR device may be enabled to transmit data, received at the XR device from the entity using the second communication protocol, to the particular device using the first communication protocol, and transmit data, received at the XR device from the particular device using the first communication protocol, to the entity using the second communication protocol.

Abstract: In various embodiments, a pattern-based recommendation subsystem automatically recommends workflows for software-based tasks. In operation, the pattern-based recommendation subsystem computes an expected distribution of frequencies across command patterns based on different distributions of frequencies across the command patterns. The expected distribution of frequencies is associated with a target user, and each different distribution of frequencies is associated with a different user. The pattern-based recommendation subsystem then applies a set of commands associated with the target user to a trained machine-learning model to determine a target distribution of weights applied to a set of tasks. Subsequently, the pattern-based recommendation subsystem determines a training item based on the expected distribution of frequencies and the target distribution of weights. The pattern-based recommendation subsystem generates a recommendation that specifies the training item.

Abstract: Disclosed communication flow modeling solution is significantly streamlined in a user friendly way to shield users from the technical complexities usually required. At design time, an orchestration flow modeling application receives user instruction to open or create a communication flow modeling project. Per configuration specific to an enterprise associated with the user, a custom drag-and-drop communication flow modeling environment with a canvas and modeling entities is provided. Responsive to the user dragging and dropping a set of modeling entities from the menu onto the communication flow modeling canvas and drawing connections between them, the orchestration flow modeling application logically connects the modeling entities to form a valid communication flow and stores it in a database. The communication flow undergoes an approval process. Once approved, it is activated for execution by an orchestration server.

Abstract: An online concierge system generates a suggested picking sequence to reduce the amount of time for a shopper to fulfill an online order of items from a warehouse. The online concierge system determines an average amount of time to sequentially pick items between different aisle pairs for a warehouse based on timestamps from item fulfillment in historical orders. The system generates a distance graph including aisle nodes connected by edges representing the pairwise distance between aisles. The system solves a traveling salesperson problem to generate a ranked order of aisle nodes for each of the historical orders. The system generates a ranked global sequence of aisle nodes based on the plurality of ranked orders of aisle nodes. The system applies the ranked global sequence to new delivery orders to generate the suggested picking sequence for a shopper.

Abstract: A computer implemented method for optimizing performance of workflow includes associating each of a plurality of workflow nodes in a workflow with a data cache and managing the data cache on a local storage device on one of one or more compute nodes. A scheduler can request execution of the tasks of a given one of the plurality of workflow nodes on one of the one of more compute nodes that hosts the data cache associated with the given one of the plurality of workflow nodes. Each of the plurality of workflow nodes is permitted to access a distributed filesystem that is visible to each of the plurality of compute nodes. The data cache stores data produced by the tasks of the given one of the plurality of workflow nodes.

Abstract: The disclosure relates to systems and methods of automatically generating unique content including natural language text based on a corpus of previously generated response documents and discrete requirements defined in a requirements specification. The system may use generative stitching that includes multi-layer processes that execute to influence the generation of unique content including natural language text through an artificial intelligence (AI) language transformer model trained to output the content based on previously written material that is semantically relevant to the discrete requirements and is weighted against labeled attributes. The labeled attributes may determine the influence asserted against the language transformer, thereby generating unique on-target content that may be combined to create a computer-generated response document.

Abstract: A method and related apparatus adaptively control snapshot replication of a plurality of server snapshots in a multi-tenant public cloud using snapshot service. A plurality of snapshot requests are received from a plurality of clients in the multi-tenant public cloud and are each associated with a service level agreement (SLA). The SLA includes a corresponding completion deadline and a slippage penalty. A probabilistic model calculates, for active snapshot flows, a completion time for each of the snapshot requests. If any of the predicted completion times exceed their corresponding completion deadlines, a possible MISS event is produced for an associated first snapshot. The snapshot controller component, in response to producing the possible MISS event, minimizes a probability of breaching fulfillment times for the multi-tenant cloud. The slippage penalty is calculated for each of the plurality of snapshot requests. A second snapshot is identified from among the plurality of snapshot requests.

Abstract: In some implementations, a device may receive release data identifying new releases associated with cloud providers. The device may receive customer data associated with customers of the cloud providers. The device may receive interest data identifying interests of the customers. The device may filter the release data and may process the filtered release data and taxonomy data identifying historical release data, with a model, to generate classification data identifying classifications of the release data. The device may process the filtered release data, the classification data, and the customer data, with a model, to identify a set of release data that is relevant for each customer, and to generate sets of release data for the customers. The device may identify additional data of the filtered release data that is relevant for each of the customers. The device may supplement the sets of release data with the additional data.

Abstract: A source content routing system is described for distributing source content received from clients such as documents, to translators for performing translation services on the source content. The routing system extracts source content features, which may be represented as vectors. The vectors may be assembled into an input matrix, which may be processed using an artificial neural network, classifier, perceptron, CRF model, and/or the like, to select a translator such as a machine translation system and/or human. The translator provides translation services translation from a source language to a target language, post translation editing, proof reading, quality analysis of a machine, quality analysis of human translation, and/or the like and returns the product to the content routing system or clients.

Abstract: Software-based technologies for improving structured data collection, presentation, validation, and workflow management processes are disclosed, including the use of interpretable configuration files to define data objects, generate object-level and sub-object-level specifications for a forms-based interface, validation processes and a workflow-based interface. A back-end integration component maps the data objects, validation and workflow processes, and interface specifications to portions of a back-end database system.

Abstract: Coordination and management of workflows in parallel among a plurality of approval applications executing on machines within an enterprise network by receiving, at a central location, workflows from an initiating application, determining a set of approvals for each respective workflow and respective approval routes, performing an initial distribution of the respective workflows from the central location by propagating the workflows across their respective approval routes to respective members of the set of approval applications, applying at respective approval applications a set of approval rules to the workflow to determine a workflow's approval status as either approved or rejected, returning the workflow's approval status to the initiating application via the central location, and performing one or more follow-up distributions of workflows from the central location until either all approval applications indicate a status of approved or a number of follow-up distributions reaches a pre-defined maximum numbe

Abstract: According to various embodiments, described herein are systems and methods for training machine learning (ML) models to generate real-time scores to predict the probabilities of task completion. In one embodiment, an exemplary method includes the operations of receiving, from a data store, a set of features and a workflow for training a first type of ML models, the workflow specifying a data source, a number of stages and associated parameters for training the ML models; retrieving, from the data source, training data for the set of features; and segmenting the training data into different segments. The method further includes the operations of training a separate first type of ML model using each of the different segment of the training data in accordance with the workflow; and persisting the first type of trained ML models into the data storage. The method also includes using a trained ML model to generate probability scores and displaying the scores to users in real-time.

Abstract: Risk data generation for an organizational network involves a risk assessment server that communicates with organizational computing devices. The server transmits risk data request and receives responses identifying organizational risks. The server generates and transmits assessment templates, and receives risk evaluation data from a plurality of computing devices in response. The server automatically generates a risk assessment score for an organizational risk based on the values in the plurality of risk evaluation responses, the risk assessment score defining an expected organizational impact of that particular organizational risk and transmits the risk assessment score to an administrator. The server collects benchmark risk data and risk outcomes from similar networks and generates the scores using the benchmark data. The server also provides comparative results between similar organizational networks.

Abstract: Embodiments described herein include systems and methods for processing behavioral assessments. One embodiment includes a computing device that stores logic that causes the system to receive data from a first behavioral assessment, the first behavioral assessment assessing a first behavioral characteristic of a first person, receive data from a second behavioral assessment, the second behavioral assessment assessing a second behavioral characteristic of the first person, and utilize the first behavioral characteristic from the first behavioral assessment and the second behavioral characteristic from the second behavioral assessment to calculate a behavioral parameter for the first person. In some embodiments, the logic causes the system to compare the behavioral parameter against a corresponding behavioral parameter for a second person to determine how the first person and the second person would work together and provide data about how the first person and the second person would work together.

Abstract: Techniques are disclosed for managing workflows using block chains. An entire workflow may be stored as a finite state machine on a block chain. Each data block of the block chain may correspond to a state and related operation of a workflow. Each data block of the block chain may be used as an input to a subsequent state of the workflow. Thus, any input may be used to compute the workflow even if the input is not designed to be used by a workflow. Nested block chains, each corresponding to a different workflow or different part of a workflow may be used to increase performance of computing the workflows.

Abstract: A virtual agent can implement a “chatbot” to provide output based on predictive/prescriptive models for incidents. The virtual agent can integrate with natural language processor for text analysis and summary report generation. The virtual agent can integrate with cognitive search to enable processing of search requests and retrieval of search results. The virtual agent uses computing processes with self-learning systems that use data mining, pattern recognition and natural language processing to mimic the way the human brain works. The virtual agent provides an automated IT system that is capable of resolving incidents without requiring human assistance. The virtual agent can display condensed summaries of a large amount of data and can link the summaries to predictive models and operational risk models to identify risk events and provide summaries of those events.

Abstract: A system for solution architecture prediction may identify a previous solution from a data source and may create a historical solution evaluation matrix by mapping a plurality of concern categories with the previous solution. The system may identify a plurality of solution components preponderant to deriving a solution associated with the solution architecture prediction and create a potential solution evaluation matrix therefrom. The system may evaluate the historical solution evaluation matrix and the potential solution evaluation matrix to determine a credibility score for each solution comprised therein. Based on the evaluation, a solution prediction data may be generated including a previous solution, a potential solution, and the associated credibility score. A service solution may be selected from the solution prediction data to resolve the solution prediction requirement.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for performing self qualification of cloud based applications. One of the methods includes analyzing, by a self-qualified process (SQP), a set of risks for a cloud based software platform, wherein each risk comprises a set of features that are being evaluated according to a risk definition; performing, by the SQP, one or more tests related to one or more risks of the set of risks; and based on an outcome of each of the tests, generating a measure of a qualification state for the cloud based software platform, wherein the measure of the qualification state is used to determine self-qualification of the software platform.

Abstract: A computer implemented method includes obtaining an original graph data structure including multiple stored nodes connected by multiple edges. The stored nodes include multiple operation stored nodes and multiple data stored nodes. The method further includes generating an auxiliary graph data structure from the original graph data structure. The auxiliary graph data structure includes the operation stored nodes. The method further includes executing a pattern mining tool on the auxiliary graph data structure to obtain a pattern list, traversing the auxiliary graph data structure to identify multiple instances of identified patterns in the pattern list, and presenting the instances.

Abstract: A film creation and management system and platform enables efficient, cost-effective, collaborative, and secure creation of filmed or interactive content. A system and platform for creating high-resolution filmed content in an efficient, fast, secure, and collaborative manner are described. The system is a wide-ranging filming tool and film management system that enables cost-effective creation and manipulation of 8K or other high-resolution content. It has interfaces and tools for managing all stages of the film creation process from story development to post production, including marketing and administration. One objective of the system is to facilitate the transition of creating high-resolution content to a property that has a business outcome, thereby facilitating the transition from art to commerce.

Abstract: An operation defense method and device, apparatus and computer-readable storage medium are provided. The method includes: receiving an operation request from a business system through a shared interface; according to a parameter carried in the operation request, selecting at least one risk evaluation algorithm for the operation request from an algorithm rule library shared by a plurality of service systems; performing risk evaluation to the operation request with the selected risk evaluation algorithm; and according to a risk evaluation result, determining to allow the operation request. In the present application, a centralized operation defense mechanism is used to analyze the operation requests from different service systems and to select an appropriate risk evaluation algorithm to calculate the risk coefficient of each operation request, so that an operation with a high risk can be prevented, and a diffusion range of an abnormality can be reduced.

Abstract: The present invention allows text analysis and routing of written communications. The system intercepts incoming written communications for analysis by a text analytics service (TAS) software module. The TAS module analyzes the communication to generate communication metadata, which is used by a smart routing engine to route the communication to an appropriate party. This ensures that the ultimate recipient of the communication is capable of effective interaction with the sender and reduces the time required for a communication to be acted upon.

Abstract: Unified management, automation and interoperability of business and device processes utilizing components of a no-code, event-driven edge computing platform on any device and/or across difference devices. In an embodiment, an event processor on a device accesses a first events dataset which may represent a two-dimensional structure. Each row in the events dataset is processed by the event processor to update the state of a runtime dataset which represents a two-dimensional structure. The updated state of the runtime dataset comprises event-defined processes. In an embodiment, the event-defined processes are executed by the event processor to process a second events dataset, wherein the execution of the event-defined processes further updates the state of the runtime dataset and may create one or more new events for processing.

Abstract: A display control device includes a conversion unit which, upon receipt of an operation log file including operation logs that indicate the content of operations performed on windows on a terminal screen, determines data variables representing window states of the windows indicated by each of the operation logs on the basis of a window state setting for setting a window state on the terminal screen, a display control unit that sets correspondence relationships between the data variables and visual variables, generates rectangular objects corresponding to the data variables, and determines attribute values of the rectangular objects on the basis of the visual variables associated with the data variables, and a visualization unit that performs drawing on the basis of sets of the rectangular objects and the attribute values determined by the display control unit.

Abstract: Methods, systems, and computer readable media for testing and modeling the beamforming capabilities of a device under test (DUT) are disclosed. The method includes receiving, from a DUT, system information that correlates a plurality of resources to a plurality of synchronization system (SS) blocks transmitted by the DUT and receiving, from the DUT, the plurality of SS blocks. In response to receiving the plurality of SS blocks, the method further includes sending a random access procedure (RACH) message from an emulated user equipment to the DUT via a resource that is correlated per the system information to a predefined SS block that is specified in a beam model. The method also includes analyzing a beam switch indication message sent by the DUT to confirm that the DUT has restricted communication to the emulated user equipment via a beam signal corresponding to the predefined SS block.

Abstract: Disclosed communication flow modeling solution is significantly streamlined in a user friendly way to shield users from the technical complexities usually required. At design time, an orchestration flow modeling application receives user instruction to open or create a communication flow modeling project. Per configuration specific to an enterprise associated with the user, a custom drag-and-drop communication flow modeling environment with a canvas and modeling entities is provided. Responsive to the user dragging and dropping a set of modeling entities from the menu onto the communication flow modeling canvas and drawing connections between them, the orchestration flow modeling application logically connects the modeling entities to form a valid communication flow and stores it in a database. The communication flow undergoes an approval process. Once approved, it is activated for execution by an orchestration server.

Abstract: An information processing apparatus includes a reception section that receives a designation of an item to be an operation target on a screen used to operate data on a work which includes plural procedures, and a presentation section that presents a candidate value for the item, which is the operation target, and locational information of a procedure, in which the candidate value is extracted, on the screen.

Abstract: A Services Delivery Platform (SDP) architecture is provided that is configured to onboard new data sets into an SDP data lake. The SDP enables the crowdsourcing of data on-boarding by configuring this process into an interactive, intuitive, step-by-step guided workflow while governing/controlling key functions like verification, acceptance and execution.

Abstract: Methods, systems and computer program products for providing an interactive resource plan visualization associated with a facility are provided. Aspects include receiving facility data comprising historical facility data, current facility data and demand data. Aspects also include determining projected resource demand based on the facility data and the demand data and using cognitive computing techniques. Aspects also include generating a visual representation of a facility. The visual representation of the facility includes available resources and resource demand associated with a specified time and the available resources are rendered according to a first visual style. Aspects also include determining resource availability modifications based on the available resources and the projected resource demand. Aspects also include generating a visual representation of the resource availability modifications associated with the specified time within the visual representation of the facility.