International Business Machines Corporation

Utopus Insights, Inc.

Sampath Dechu

Pratyush Kumar

Neelamadhav Gantayat

Senthil Kumar Kumarasamy Mani

Giriprasad Sridhara

Monika Gupta

Ramachandra Kota

Mohit Jain

Gargi Banerjee Dasgupta

Shreya Khare

Anamitra Roy Choudhury

Srikanth Govindaraj Tamilselvam

Pankaj Dhoolia

Peter Feldmann

Amrita Saha

Soroush Abbaspour

Dinesh Raghu

Vatche Isahagian

Rania Yousef Khalaf

Parag Jain

Sambaran Bandyopadhyay

Yara Rizk

Tarun Tater

Merve Unuvar

Saravanan Krishnan

Vinod Muthusamy

Prerna Agarwal

Naveen Eravimangalath Purushothaman

Rama C Kota

Renuka Sindhgatta Rajan

Megha Nawhal

Saicharan Duppati

Ratan Singh

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).

Process mining asynchronous support conversation using attributed directly follows graphing

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.

Audio/video (A/V) functionality verification

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.

Process flow diagram prediction utilizing a process flow diagram embedding

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.

Summarizing business process models

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.

Generation of business process model

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.

Dynamic pricing of energy consumed from a shared battery using real-time consumption data

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.

Proof-of-work for smart contracts on a blockchain

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.

Automatically detecting inconsistencies between a business process model and a corresponding tutorial video

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.

Product usage identification and recommendation provision

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. The computer-implemented method further includes modifying the given structured document by embedding the natural language context with the given document element in the given structured document.

Embedding natural language context in structured documents using document anatomy

One embodiment provides a method, including: receiving, from a user and at a user interface of a conversational agent, a query related to a business process; identifying, using process entity extraction on the query, (i) the business process and (ii) a business object corresponding to an entity of the query; mapping the business object to code corresponding to the business object, wherein the mapping comprises (i) mapping the business object to an object within a business process model using a domain dictionary and (ii) accessing code corresponding to the object within the business process model; generating a natural language response responsive to the received query by (i) extracting the code corresponding to the business object, (ii) identifying a rule within the extracted code corresponding to a variable of the query, and (iii) generating the natural language response from the identified rule; and providing the natural language response.

Provision of natural language response to business process query

Embodiments of the present invention provide a method, a computer program product, and a system for generating a haptic signal representing a fabric composition. Embodiments of the present invention can be used to generate a haptic signal that is based on a user selection. For example, embodiments of the present invention can combine characteristic signals corresponding to a plurality of textiles to generate the haptic signal for output to a haptic device. Embodiments of the present invention can be used to recommend similar fabric compositions based upon similarity between a characteristic signal of a fabric composition and the haptic signal.

Simulating tactile information for haptic technology

Aspects of the present invention disclose a method for debiasing text by neutralizing subjective information while preserving relevant information. The method includes one or more processors determining a sentiment of textual data. The method further includes extracting information that is relevant to resolving a topic that is represented in the textual data. The method further includes debiasing the information that is relevant to resolving a topic that is represented in the textual data. The method further includes validating that the debiased information includes the information that is relevant to resolving the topic that is represented in the textual data. The method further includes generating debiased textual data, the debiased textual data including the debiased information and masking the determined sentiment of the textual data.

Debiasing textual data while preserving information

One embodiment provides a method, including: receiving an input from a first user requesting information; generating a conversation model from a dialog that occurs between the user and a human agent; recording the human agent performing an external action required to respond to the input; mapping steps performed during performance of the external action to conversation slots within the dialog; generating an integrated interpretable conversation model comprising a dialog and action script; receiving, at a conversational agent system, a subsequent input from a second user requesting similar information to the information requested by the first user; and providing, by the conversational agent system, a response to the subsequent input, wherein the providing a response comprises the conversational agent system utilizing the integrated interpretable conversational model to replay (i) the dialog and (ii) the action script using the subsequent input.

External action execution with conversational agent

One embodiment provides a method, including: receiving input of a learning session that is being conducted by an educator, being provided to at least one user, and being related to a subject; determining, using a knowledge base, that at least one topic relevant to the subject of the learning session is incomplete, wherein the determining comprises building a knowledge subgraph of the learning session and comparing the built knowledge subgraph to at least a portion of the knowledge base; generating at least one question to be asked of the educator relevant to the at least one incomplete topic; identifying, using at least one natural language text classifier model, a location within the learning session to ask the generated at least one question; and providing, to the educator, an output corresponding to the at least one question at the identified location within the learning session.

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Bengaluru, India

Sampath Dechu