Abstract: In one embodiment, a computer-implemented method includes: receiving a workflow, for each of the tasks in the workflow, annotating the task with a set of metadata, analyzing the tasks in the workflow utilizing the metadata annotations and one or more predefined policies, and based on the analysis of the tasks, generating an alternative configuration of the workflow. The workflow includes a plurality of tasks. The alternative configuration of the workflow is marked for crowdsourcing. In another embodiment, a computer program product for migrating a workflow for processing on a crowdsourcing platform includes a computer readable storage medium having program instructions embodied therewith. The program instructions are executable by a processor to cause the processor to cause the processor to perform the foregoing method.

Abstract: In one embodiment, a computer-implemented method for action-aware communication and conversation prioritization includes: identifying an importance of one or more parties to a communication or conversation; evaluating content of the communication or conversation to identify one or more features of the communication or conversation; assessing an importance of the content included in the communication or conversation based on one or more of the identified features; determining an urgency of the communication or conversation based on one or more of the identified features; and prioritizing the communication or conversation based at least in part on the importance of one or more of the parties, the importance of the content, and the urgency of the communication or conversation. The method is adaptive in a continuous manner based on user actions responsive to the communication or conversation. Related systems and computer program products are also disclosed.

Abstract: Identifying actionable statements in communications may include: extracting features from at least one training statement; training a pattern recognition module to identify one or more types of patterns in actionable statements based at least in part on the features; and generating an actionable statement identification model using the trained action verb module and the trained pattern recognition module. Identifying actionable statements in communications is preferably adaptive in a continuous manner (e.g. based on user feedback), and may also include: determining whether a statement includes an actionable statement; predicting an actionable statement class of the actionable statement based on a pattern represented in the statement; and outputting the predicted actionable statement class to a user. Corresponding systems and computer program products are also disclosed.

Abstract: Suggesting email tags. A non-transitory machine-readable storage device includes executable instructions that, when executed, cause one or more processors to provide a suggestion for at least one suggested tag based on content of an email, receive a selection of a selected tag, store the email in a computer database, thus creating a stored email, and associate the selected tag with the stored email in the computer database.

Abstract: A particular case is matched to further cases, where the matching is based on plural attributes contained in the particular case and in the further cases, wherein one of the plural attributes relates to a flow of activities taken to address the respective case.

Abstract: An electronic document is accessed. A structural definition that defines a structural convention according to which information within the electronic document is arranged also is accessed. Based on the accessed structural definition, at least some of the information is extracted from the electronic document. A machine-understandable representation of the extracted information then is generated.

Abstract: Example embodiments relate to distributed worker-sourced process engineering. In some examples, a system may include a process portion input module to allow a worker to directly provide process statements to the system that indicate a local process portion that the worker performs. The system may include a statement verification module to dynamically verify the process statements of the worker as the worker provides them to aid the worker in entering the process statements. The system may include a process assembler module to automatically assemble an overall or global process or process portion based on the process statements of the worker and process statements of other workers, and provide the overall or global process or process portion to an analyst for review.

Abstract: A method of generating a set of composite services is provided herein. The method includes receiving standardized service descriptions of a set of component services from service providers. The standardized description of a component service may be translated to an automaton-based description. A specified goal associated with the set of component services may be received. The set of composite services may be generated based on the automaton-based description and the specified goal. Each of the generated composite services may accomplish the specified goal.

Abstract: An example of identifying tasks and commitments can include receiving a communication message. A task and a parameter can be identified in the communication message. Information related to the task can be extracted from the communication message using natural language processing (NLP) and machine learning (ML). A commitment related to the task can be identified using NLP extracted information. A state of the commitment can be identified using NLP and ML based on the extracted information.

Abstract: Entities of a case are provided as active entities in a social network. As part of managing the case, a first of the active entities can interact with a second of the active entities using the social network.

Abstract: A method performed by an electronic healthcare record (EHR) system with customizable compliance policies includes invoking a first data management process for a first data management operation, the first data management process defining a first set of compliance policies of a first healthcare participant for the first data management operation, and invoking a second data management process for the first data management operation, the second data management process defining a second set of compliance policies of a second healthcare participant for the first data management operation that differs from the first set of compliance policies.

Abstract: Information relating to usage of entities of a case is collected, where the entities include tasks and an artifact, and the entities are to interact over a social network. An analysis output is generated based on the collected information.

Abstract: A method of generating a set of composite services is provided herein. The method includes receiving standardized service descriptions of a set of component services from service providers. The standardized description of a component service may be translated to an automaton-based description. A specified goal associated with the set of component services may be received. The set of composite services may be generated based on the automaton-based description and the specified goal. Each of the generated composite services may accomplish the specified goal.

Abstract: In one embodiment, a method of recommending a production plan includes calculating a similarity score between an incoming order and each historical order in a historical order database, providing a list of most similar historical orders and corresponding historical production plans ranked according to highest similarity scores, receiving an election indicating a historical production plan as a selected production plan, and admitting the selected historical production plan to fulfill the incoming order.

Abstract: Suggesting email tags. A non-transitory machine-readable storage device includes executable instructions that when executed, cause one or more processor to provide a suggestion for at least one suggested tag based on content of an email, receive a selection of a selected tag store the email in a computer database, thus creating a stored email, and associate the selected tag with the stored email in the computer database.

Abstract: An example of task management can include receiving a message between a sending user and a receiving user. The message can be analyzed to determine whether the message includes a requested task. A parameter of the requested task can be extracted from the message based on directives in the message. An update to a status of the task can be sent to the sending user and the receiving user.

Abstract: Systems, methods, and machine-readable and machine-executable instructions are provided to determine context-aware information item recommendations for deals. An example of a computing system to determine context-aware information item recommendations can extract a set of information concerning pursuit of a deal by an enterprise, where a first portion of the set can be extracted from an electronic communication network and a second portion of the set can be extracted from a profile of elements to be included in a completed deal. The computing system can form a context-aware query by determination of semantic relevance of the set of information and can determine an output based upon correlation of the context-aware query with content of a resource description framework (RDF) triple store, where the output includes the context-aware information item recommendations for the deal.

Abstract: An example of identifying tasks and commitments can include receiving a communication message. A task and a parameter can be identified in the communication message. Information related to the task can be extracted from the communication message using natural language processing (NLP) and machine learning (ML). A commitment related to the task can be identified using NLP extracted information. A state of the commitment can be identified using NLP and ML based on the extracted information.

Abstract: A flow model of an activity flow that is based on cases is provided. The flow model is annotated with information from the cases. A matching step in the activity flow that matches a given step of a particular case is identified, and a next step is recommended based on the matching step in the activity flow of the flow model.