Abstract: Facilitation of optimized transportation selection relative to user travel objectives and user context is provided. A system can include a memory and a processor that executes computer executable components. The computer executable components can include: an objective component that determines travel objectives of a user; a context component that determines context of the user; an analyzer component that analyzes transportation related data relevant to the travel objectives of the user, wherein the analyzer component performs a utility-based analysis that weighs costs versus benefits associated with respective transportation options relative to the travel objectives of the user; and an optimization component that outputs a travel itinerary to the user that includes an optimized transportation selection relative to the user travel objectives and user context.

Abstract: Embodiments relate to an intelligent computer platform to utilize machine learning techniques to minimize compliance risk. Features are extracted from one or more data sources across two or more domains and activity data is identified. Features are identified within the activity data which are used to create one or more models. Domain activity impact is measured and a risk probability is calculated. A policy is generated based on the calculated risk probability and one or more compliance activities are orchestrated. One or more encoded actions are executed in compliance with the orchestration.

Abstract: A computer implemented method includes receiving a first set of data comprising financial data of a company and at least one of holiday data, industrial event data, or weather data. A probabilistic hotel demand forecast is computed for a hotel in a location based on a statistical analysis of prior hotel stays at the hotel in the location with an adjustment based on at least the financial data of the first set of data. The adjustment can be computed by the computer based on a prior effect of at least the financial data on a number of prior hotel stays. The resulting probabilistic hotel demand forecast can be displayed on a user terminal device. This forecast may be used to generate a future pricing strategy.

Abstract: One embodiment provides a computer program product for improving accuracy of a transcript of a spoken interaction. The computer program product comprises a computer readable storage medium having program instructions embodied therewith. The program instructions are executable by a processor to cause the processor to identify a plurality of patterns in the transcript. The plurality of patterns are indicative of a group of acoustically similar words in the transcript and a corresponding local, sequential context of the group of acoustically similar words. The program instructions are further executable by the processor to cause the processor to predict conditional probabilities for the group of acoustically similar words based on a predictive model and the plurality of patterns, detect one or more transcription errors in the transcript based on the conditional probabilities, and correct the one or more transcription errors by applying a multi-pass correction on the one or more transcription errors.

Abstract: One embodiment provides a computer program product for cognitive visual and ontological mapping of tabular data. The computer program product comprises a computer readable storage medium having program instructions embodied therewith. The program instructions are executable by a processor to cause the processor to receive a data query and ontology information relating to the data query, receive context information relating to a display device, determine a measure of interest for the data query and one or more constraints for the measure of interest, determine saliency features based on the context information, and generate a user interface comprising query results corresponding to the data query arranged in a dynamic tabular format for display on the display device. The dynamic tabular format is based on the ontology information, the measure of interest, the one or more constraints for the measure of interest, and the saliency features.

Abstract: One embodiment provides a computer program product for improving accuracy of a transcript of a spoken interaction. The computer program product comprises a computer readable storage medium having program instructions embodied therewith. The program instructions are executable by a processor to cause the processor to identify a plurality of patterns in the transcript. The plurality of patterns are indicative of a group of acoustically similar words in the transcript and a corresponding local, sequential context of the group of acoustically similar words. The program instructions are further executable by the processor to cause the processor to predict conditional probabilities for the group of acoustically similar words based on a predictive model and the plurality of patterns, detect one or more transcription errors in the transcript based on the conditional probabilities, and correct the one or more transcription errors by applying a multi-pass correction on the one or more transcription errors.

Abstract: One embodiment provides a method comprising receiving a first set of information corresponding to a first entity and receiving a second set of information corresponding to a second entity. Each set of information received corresponding to each entity comprises visual information relating to the entity. The method further comprises encoding each set of information, and classifying the first entity and the second entity as either matching entities or non-matching entities based on the encoding.

Abstract: Embodiments relate to a system, program product, and method for use and an artificial intelligence (AI) platform to identify and analyze physical forces related to sensory input. A sensor operatively coupled to an inertial measurement unit (IMU) is activated. An initial position of the IMU responsive to the sensor activation is captured and movement of the IMU from the initial position is recognized. A comparison is preformed, where the captured initial position is compared to a second position which is correlated with the recognized movement. A score based on the performed comparison is determined and a diagnostic assessment based on the performed comparison and determined score is created. The diagnostic assessment is converted to feedback, where the conversion utilizes real-time communication of an instruction of a second movement position of the IMU. Receipt of the feedback physically conveys a manifestation of the feedback to the apparatus.

Abstract: Systems, methods, and computer-readable media are disclosed for identifying product configurations that are alternatives to a requested product configuration, ranking the alternative product configurations based on one or more pricing metrics, and presenting the alternative product configurations to a prospective customer, thereby providing the customer with the option of selecting an alternative product configuration in lieu of the initially requested product configuration.

Abstract: Systems, methods, and computer-readable media are disclosed for identifying customers having associated opportunities for improved growth and/or profitability with respect to product or service offerings and determining investment solutions that enhance the probability that the customers transition to the higher growth/profitability opportunities. Prior customer transactions are segmented based on segmentation criteria and used to generate a transaction graph. The nodes of the transaction graph represent the segmented transactions and client transaction paths between the nodes represent potential customer life-cycle trajectories.

Abstract: Systems, methods, and computer-readable media are disclosed for identifying customers having associated opportunities for improved growth and/or profitability with respect to product or service offerings and determining investment solutions that enhance the probability that the customers transition to the higher growth/profitability opportunities. Prior customer transactions are segmented based on segmentation criteria and used to generate a transaction graph. The nodes of the transaction graph represent the segmented transactions and client transaction paths between the nodes represent potential customer life-cycle trajectories.

Abstract: An architecture, system, and method are provided for a commitment loop solution for on demand business activity management. A Business Performance Management (BPM) loop includes nodes each relating to different tasks for processing performance management trigger data generated by a business entity in real time. The beginning or sensing element of the loop is triggered by a token (representing a business event from a business process). The ending or executing element provides a business action to be implemented by the business entity. The token is passed from node to node sequentially in a particular order around the loop. Processing of the data represented by the token is governed by policies, which can be changed dynamically and follow a life cycle.

Abstract: An architecture, system, and method are provided for a commitment loop solution for on demand business activity management. A Business Performance Management (BPM) loop is defined as a set of nodes each relating to different tasks for processing performance management trigger data generated by a business entity in real time, where the beginning or sensing element of the loop is triggered by a token (representing a business event from a business process) and the ending or executing element provides a business action to be implemented by the business entity. The token is passed from node to node sequentially in a particular order around the loop. Processing of the data represented by the token is governed by policies, which can be changed dynamically and follow a life cycle. On demand business activity management of larger aggregates of business entities (i.e.

Abstract: An architecture, system, and method are provided for a commitment loop solution for on demand business activity management. A Business Performance Management (BPM) loop includes nodes each relating to different tasks for processing performance management trigger data generated by a business entity in real time. The beginning or sensing element of the loop is triggered by a token (representing a business event from a business process). The ending or executing element provides a business action to be implemented by the business entity. The token is passed from node to node sequentially in a particular order around the loop. Processing of the data represented by the token is governed by policies, which can be changed dynamically and follow a life cycle.

Abstract: A method for automatically generating data analysis queries from at least one modeling construct includes selecting a preconfigured template identifying at least one metric or dimension; retrieving dashboard model data comprising the preconfigured template; filtering to the dashboard model data using at least one user-specific access control; and automatically generating a query for at least one database.

Abstract: An architecture, system, and method are provided for a commitment loop solution for on demand business activity management. A Business Performance Management (BPM) loop is defined as a set of nodes each relating to different tasks for processing performance management trigger data generated by a business entity in real time, where the beginning or sensing element of the loop is triggered by a token (representing a business event from a business process) and the ending or executing element provides a business action to be implemented by the business entity. The token is passed from node to node sequentially in a particular order around the loop. Processing of the data represented by the token is governed by policies, which can be changed dynamically and follow a life cycle. On demand business activity management of larger aggregates of business entities (i.e.

Abstract: Predictive metric analysis for business management is divided into build time, corresponding to the business owner view of the enterprise, and run time, corresponding to the information technology view of the enterprise. The build time consists of a predictive model and a monitoring model. These models go through transformation processes to the components of the run time. The run time components are a Metric Value Prediction Service (MVPS), which receives as input predictive model transformation and outputs predicted metric values, and a monitoring engine, which receives as input monitoring model transformation, the predicted metric values and business events from the business process. Various analytical engines can be plugged in to provide the predictive capabilities. Input is provided to a framework from various business systems which results in predicting the value of the metrics across the future time horizons.

Abstract: The availability of relevant business resources, or supply, during a global crisis or disruption are estimated by using a forecast of a baseline supply of human resources and various forms of infrastructure and raw materials for a firm as input. That forecast is corrected to account for the impact of a crisis or other disruption, and a corrected forecast as output is provided. The corrected forecast reflects changes in the availability of business resources due to the crisis or disruption, dependencies between resources, as well as any mitigating effects resulting from the implementation of mitigation policies.

Abstract: A managed policy driven virtual data space for managing artifacts relationships and sharing artifacts among services. A policy model is used to represent business artifacts, sharing of the artifacts, and subscription of other artifacts that is of interest to current artifact and, to represent the various state of the artifact. An active shared space provides support functionality for the policy model, such as artifact lifecycle management. The active shared space also provides the support of sharing of such artifact with external/internal services and other artifacts. The active shared space also controls the artifacts storage in the relational database for archiving purposes. Active shared space also provides the mechanism of subscribing to various artifacts and publishing the availability of artifact for services and other artifacts itself.

Abstract: Development and use of a computer program, particularly for simulation or modeling, in an arbitrary language are facilitated by representing expressions to be dynamically evaluated in a simple syntax compatible with a standard language and providing a pattern or template in a form containing the form and syntax required for an embedded standard language query in the arbitrary language. The representation of the expression in the simple syntax is detected and the expression, variables contained in the expression and the name of the result of an evaluation of the expression are extracted and placed in the template or pattern to derive an intermediate form of the expression. Quantitative data developed by the computer program when it is run is substituted for the variables in the intermediate form of the expression to form a standard language query embedded in the arbitrary language program which is ten evaluated by a standard language evaluation engine.