Abstract: Mechanisms are provided for forecasting information technology (IT) and environmental impacts on key performance indicators (KPIs). Machine learning (ML) computer model(s) are trained on historical data representing IT events and KPIs of organizational processes (OPs). The ML computer model(s) forecast IT events given KPIs, or KPI impact given IT events. Correlation graph data structure(s) are generated that map at least one of IT events to IT computing resources, or KPI impacts to OPs. The trained ML computer model(s) process input data to generate a forecast output that specifies at least one of a forecasted IT event or a KPI impact. The forecasted output is correlated with at least one of IT computing resource(s) or OP(s), at least by applying the correlation graph data structure(s) to the forecast output to generate a correlation output. A remedial action recommendation is generated based on the forecast output and correlation output.

Abstract: Methods, systems, and computer program products for dynamic pricing of energy consumed from a shared battery using real-time consumption data are provided herein. A computer-implemented method includes calculating wear cost arising from a battery shared by multiple users, wherein the wear cost is based on usage data of the battery; calculating a proportionality factor for each of the multiple users for the calculated wear cost, wherein the proportionality factor is based on individual usage of the battery; apportioning the calculated wear cost to each of the multiple users based on the user's proportionality factor; and determining a dynamic price for energy used by the battery for each of the multiple users, based on said apportioning.

Abstract: Embodiments of the present invention provide computer-implemented methods, computer program products and computer systems. Embodiments of the present invention enrich received information based on identified attributes. Embodiments of the present invention can then dynamically generate a recommendation that satisfies a goal based, at least in part on the enriched information. Embodiments of the present invention can then execute at least one dynamically generated goal that satisfies the goal.

Abstract: A system may include a memory and a processor in communication with the memory. The processor may be configured to perform operations. The operations may include receiving data and generating a contextual execution dependency graph with said data. The operations may include producing agents with said data and calculating an agent sequence for said agents based at least in part on said contextual execution dependency graph. The operations may include executing an automation script using said agent sequence and said contextual execution dependency graph.

Abstract: Provided is a computer-implemented method, system, and computer program product for process mining asynchronous support conversations using attributed directly follows graphing. A processor may collect a plurality of conversation threads from an asynchronous data stream. The processor may label each utterance of a plurality of utterances from the plurality of conversation threads with an event label. The processor may analyze the event label for each utterance of the plurality of utterances. The processor may generate, based on the analyzing of the event label for each utterance, an attributed directly follows graph (DFG).

Abstract: Aspects of the present disclosure relate to audio/video (A/V) stream functionality verification. A stream segment of a video feed prior to transmission over a network as captured by a transmitting device within a web-based conference can be stored. A stream segment of the video feed after transmission over the network as received by a receiving device within the web-based conference can be stored. The stream segment of the video feed prior to transmission over the network can be compared with the stream segment of the video feed after transmission over the network to determine a video feed quality.

Abstract: Methods, systems, and computer program products for generating organizational goal-oriented and process conformant recommendation models using artificial intelligence techniques are provided herein.

Abstract: Methods, systems, and computer program products for generating automation recommendations for ad hoc processes are provided herein. A computer-implemented method includes obtaining workflow data comprising descriptions associated with one or more dynamic processes; creating event logs based at least in part on the descriptions; applying a graph extraction process to derive process flow graphs from the created event logs; generating embeddings of the process flow graphs, wherein the embeddings encode at least one of: one or more structural features and one or more attribute features of the process flow graphs; and identifying at least one of the process flow graphs to be automated based on the generated embeddings; and outputting the identified at least one process flow graph to at least one of: a user and a robotic process automation tool.

Abstract: One embodiment provides a method, including: receiving a process flow diagram element of a process flow diagram; identifying a context of the process flow diagram element, wherein the identifying a context comprises identifying (i) categories of elements connected to the process flow diagram element, (ii) swimlanes within the process flow diagram, and (iii) text included in the process flow diagram; encoding features of the process flow diagram element into a semantic vector, wherein the features are identified from the context of the process flow diagram element; and predicting, utilizing a process flow diagram model, a process flow diagram element for the process flow diagram based upon the at least one process flow diagram element, wherein the process flow diagram model receives and analyzes the features of the at least one process flow diagram and outputs the predicted process flow diagram element.

Abstract: One embodiment provides a method, including: obtaining a business process model representing a process flow having a plurality of steps for performing a business process, the business process model being a graphical representation of the process flow and including geometrical shapes representing activities of the process flow and edges representing a temporal ordering of the activities of the process flow; identifying important activities of the business process model; and generating a summary business process model from the business process model, wherein the summary business process model comprises nodes representing the important activities and excludes other nodes included within the business process model.

Abstract: One embodiment provides a method, including: obtaining at least one video capturing images of a writing capture device used during a business process design session, wherein the images comprise portions of the process flow; obtaining at least one audio recording corresponding to the business process design session; identifying an intended business process model shape; determining at least one business process model shape missing from the process flow provided on the writing capture device; identifying a task dependency for pairs of business process model shapes; and generating a business process model from (i) the intended business process model shapes, (ii) the at least one business process model shape missing from the process flow, and (iii) the identified task dependencies.

Abstract: Methods, systems, and computer program products for dynamic pricing of energy consumed from a shared battery using real-time consumption data are provided herein. A computer-implemented method includes calculating wear cost arising from a battery shared by multiple users, wherein the wear cost is based on usage data of the battery; calculating a proportionality factor for each of the multiple users for the calculated wear cost, wherein the proportionality factor is based on individual usage of the battery; apportioning the calculated wear cost to each of the multiple users based on the user's proportionality factor; and determining a dynamic price for energy used by the battery for each of the multiple users, based on said apportioning.

Abstract: A method, computer system, and a computer program product for process optimization is provided. The present invention may include analyzing a business process model comprised of one or more activities. The present invention may include extracting one or more key phrases from one or more event logs, wherein the one or more event logs are based on the business process model. The present invention may include determining a corresponding activity for the one or more extracted key phrases. The present invention may include generating an enriched business process model based on the business process model and one or more derived activities.

Abstract: Aspects of the invention include selecting an activity as a selected activity. A method includes designating a subset of the set of activities as classes, collecting a log of inputs and outputs of each encountered activity as a data point each time the process is implemented, and extracting features from each data point that is collected to generate a feature vector from each data point. A teacher model is initialized with a first data point and updated with each data point subsequent to the first data point. A student model is initialized with a set of data points including the first data point such that every one of the classes is encountered at least once. The student model is updated with the teacher model. A set of features is input to the student model to obtain a prediction of the outcome of the selected activity.

Abstract: Methods, systems, and computer program products for product description-based line item matching are provided herein. A computer-implemented method includes obtaining a digital invoice from a vendor comprising one or more text descriptions; retrieving a purchase order corresponding to the digital invoice from a purchase order database, wherein the purchase order comprises one or more line items; applying an out-of-vendor vocabulary model to the one or more text descriptions, wherein the out-of-vendor vocabulary model is trained to remove irrelevant text from the text descriptions based at least in part on historical purchase orders stored in the purchase order database corresponding to the vendor; and matching the one or more text descriptions from the digital invoice to the one or more line items in the purchase order based at least in part on output of the out-of-vendor vocabulary model.

Abstract: A blockchain configuration may be used to store a distributed ledger for information security and accessibility. One example method of operation may include determining a proof-of-work via a device and using a predefined set of nonce values when determining the proof-of-work, storing the proof-of-work on a blockchain, and broadcasting the proof-of-work as a broadcast message.

Abstract: Methods, systems, and computer program products for detecting inconsistencies between a business process model of an organization and its accompanying tutorial video are provided herein. A computer-implemented method includes identifying activities within a business process model and assigning a concept to each activity within the business process model; constructing a confluence graph for a tutorial video corresponding to the business process model by (i) generating text corresponding to audio of the tutorial video and identifying activities within the text, and (ii) assigning a concept for each activity within the text and creating a concept node, within the confluence graph, for each concept assigned to an activity within the text; comparing the concepts of the business process model and the concept nodes of the confluence graph to identify inconsistencies between the business process model and the corresponding tutorial video; and outputting the identified inconsistencies to at least one user.

Abstract: One embodiment provides a method, including: detecting, on a social media application, a media object comprising at least one image of a final product made from at least one purchased raw product; extracting, from the media object and text corresponding to the social media application post, (i) information related to the final product and (ii) social feedback regarding the final product; determining, based upon the social feedback, that the use of the at least one purchased raw product into the final product comprises positive social feedback; and providing a recommendation regarding the use of the at least one purchased raw product to one or more other individuals, wherein the recommendation is generated using the information related to the final product.

Abstract: Methods, systems and computer program products for natural language context embedding are provided herein. A computer-implemented method includes extracting a document anatomy and document elements from a given structured document, identifying semantic references in the given structured document, and generating an ontology comprising (i) a hierarchy of concepts and (ii) relations connecting the concepts, each concept comprising attributes for a document element. The computer-implemented method also includes generating natural language text context for a given document element by utilizing the ontology to combine (i) attributes of a given concept corresponding to the given document element with (ii) attributes of another concept, the other concept corresponding to another document element, the other concept being connected to the given concept by at least one relation.

Abstract: One embodiment provides a method, including: receiving a process flow diagram element of a process flow diagram; identifying a context of the process flow diagram element, wherein the identifying a context comprises identifying (i) categories of elements connected to the process flow diagram element, (ii) swimlanes within the process flow diagram, and (iii) text included in the process flow diagram; encoding features of the process flow diagram element into a semantic vector, wherein the features are identified from the context of the process flow diagram element; and predicting, utilizing a process flow diagram model, a process flow diagram element for the process flow diagram based upon the at least one process flow diagram element, wherein the process flow diagram model receives and analyzes the features of the at least one process flow diagram and outputs the predicted process flow diagram element.