Abstract: A method, system and computer readable program storage device for facilitating a collaboration experience. In embodiments, the method comprises identifying a group of people for a specified collaboration experience; identifying specified conditions and preferences for the group of people; using the identified specified conditions and preferences for the group of people for determining an environment for the specified collaboration experience and one or more factors for improving the specified collaboration experience; and sending a specified set of information to one or more prospective collaboration entities to determine if any one of the prospective collaboration entities has the determined environment for the specified collaboration experience.

Abstract: Systems and methods for capturing fluid change history in a vehicle are provided. A method includes: detecting, by a computer device, a fill cap is removed from an inlet port of a fluid reservoir or a drain plug is removed from an outlet port of the fluid reservoir; activating, by the computer device and based on the detecting, one of a fill sensor and a drain sensor; obtaining, by the computer device, fluid characteristics data from one of the fill sensor and the drain sensor; determining, by the computer device, at least one fluid parameter based on the fluid characteristics data; and transmitting, by the computer device, the determined at least one fluid parameter to a remote system via a communication network that is external to the vehicle.

Abstract: An example method includes obtaining, by a computing system, first audio data representing one or more initial utterances during an interactive voice session with an interactive voice system; generating, by the computing system, based on the first audio data, a prediction regarding whether a subsequent utterance of a user in the interactive voice session will contain sensitive information, wherein the subsequent utterance follows the one or more initial utterances in time; obtaining, by the computing system, second audio data representing the subsequent utterance; determining, by the computing system, based on the prediction and based on a risk profile of the interactive voice system, whether to transmit the second audio data to the interactive voice system; and based on the determination to transmit the second audio data to the interactive voice system, transmitting the second audio data to the interactive voice system.

Abstract: An example method comprises obtaining, by a computing system, first audio data representing one or more initial utterances during an interactive voice session with an interactive voice system; generating, by the computing system, based on the first audio data, a prediction regarding whether a subsequent utterance of a user during the interactive voice session will contain sensitive information, the subsequent utterance following the one or more initial utterances in time; obtaining, by the computing system, second audio data representing the subsequent utterance; determining, by the computing system, based on the prediction, whether to transmit the second audio data; and based on a determination not to transmit the second audio data: replacing, by the computing system, the second audio data with third audio data that is based on a voice of the user; and transmitting, by the computing system, the third audio data.

Abstract: Techniques for runtime topic change analyses in spoken dialog contexts and command execution include receiving a string of phrases associated with one or more users, parsing the string of phrases into a plurality of individual phrases, and determining a voice command from two or more of the plurality of individual phrases. The two or more plurality of individual phrases are non-contiguous in the string of phrases.

Abstract: Various methods and systems for selectively and securely sharing user data to a facility in order to accommodate the specific needs of the user. The methods further correspond to receiving, from a computing entity, geographic location information corresponding to the geographic location of the computing entity which is associated with the user and transmitting a notification to the computing entity of a facility in proximity to the geographic location of the computing entity. The methods further include receiving, from the facility, a request for user data associated with the user of the computing entity that is applicable to the facility, generating a proposed user dataset in response to the request that satisfies the facility-specific user data parameters and transmitting the proposed user dataset that meets the facility-specific user data parameters for sharing with the facility when a relevance score exceeds a relevance threshold value and the sharing eligibility is approved.

Abstract: Tracking social collaboration messages includes setting, by a computer, for a discussion group, a respective quota for each of a plurality of sentiment types assignable to a textual message; monitoring, by the computer, typing, by a sender, of text of a message for the discussion group; based on the monitored typing, determining, by the computer, a sentiment type of the message, the determined sentiment type being one of the plurality of sentiment types; and providing, by the computer, to the sender, recommendation for editing the message based on the quota set for the determined sentiment type.

Abstract: Embodiments of the present disclosure provide methods, apparatus, systems, computing devices, and/or computing entities for causing a medication dispensing device to generate electronic user notifications.

Abstract: Embodiments of the invention provide apparatuses, systems, and methods for more accurate remote monitoring of a user's body. In some embodiments, a system for monitoring a user's body comprises a wearable device, a video sensor attached at a collar portion of the wearable device, a plurality of audio sensors spaced and attached at a body portion of a wearable device and a controller configured to determine a Jugular Venous Pressure (JVP) of the user, and determine audio characteristics of an output of the plurality of audio sensors to generate an audio heat map corresponding to at least one internal organ of the user.

Abstract: An approach for predicting utilization of autonomous vehicles for a specified time range and optimizing the utilization of the autonomous vehicles is disclosed. The approach leverages machine learning to send targeted advertising to potential passengers. The approach determines which potential passengers will have a high likelihood of accepting a targeted request. Additionally, the approach will further optimize the autonomous vehicles utilization by using multiple autonomous vehicles for a single passenger.

Abstract: Embodiments of the invention provide methods for identifying suspect heart or lung sounds and methods for generating an isolated sound sample. In some embodiments, a method for identifying suspect heart or lung sounds comprises obtaining, by processing circuitry, an instance of data samples comprising at least two audio samples and respiratory and/or cardiac cycle data, the audio samples comprising auscultation sounds of an individual, based on the respiratory and/or cardiac cycle data, processing the at least two audio samples to generate a plurality of sound samples, identifying a primary sound sample, generating at least one of a modified secondary sound or a modified baseline sample and combining the modified secondary sound sample or the modified baseline sample with the primary sound sample to generate an isolated sound sample.

Abstract: Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for performing predictive prioritization. Certain embodiments utilize systems, methods, and computer program products that perform predictive prioritization using a combination of supervised machine learning models and unsupervised machine learning models that are in turn used to generate target features for a resultant prioritization machine learning model.

Abstract: A method, a computer program product, and a computer system modify a version of an application. The method includes determining a sentiment being experienced by a second user while using a second version of the application installed on a second device associated with the second user based on sensory information indicative of the sentiment. The method includes generating sentiment associated information associating the sentiment of the second user with the second version of the application, the sentiment associated information configured to be exchanged with the first device over an offline, ad hoc connection. The method includes transmitting the sentiment associated information to the second device. The sentiment associated information is indicative of whether the first version of the application is to be modified on the first device to the second version of the application.

Abstract: Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for performing risk score generation predictive data analysis. Certain embodiments of the present invention utilize systems, methods, and computer program products that risk score generation predictive data analysis by utilizing at least one of inferred hybrid risk score generation machine learning models and hybrid graph-based machine learning models.

Abstract: A method and system for automatically controlling a vehicle is provided. The method includes generating an original route of travel for a first vehicle for travel from an original location to a destination location. The vehicle is directed from the original location to the destination location such that the vehicle initiates motion and navigates the original route of travel towards the destination location in accordance with the original route of travel. Monitored vehicular attributes of the first vehicle are received and environmental attributes associated with the original route of travel are monitored with respect the first vehicle. Navigational issues associated with the vehicle traveling along the original route of travel are determined based on the monitored vehicular attributes and results of monitoring the environmental attributes. The navigational issues are used to determine if the vehicle should continue to travel along the original route of travel.

Abstract: In response to determining that performance data of device operation by an operating user meets a safety requirement, embodiments determine a degree of deviation of a performance data value from a baseline pattern of good performance values defined for the user; in response to determining that the degree of deviation of the operating data value meets a cognitive assessment threshold, administer a cognitive aptitude test challenge to the user selected from baseline aptitude profile data of challenges previously responded to by the user; and execute a corrective action that reduces a risk of loss in response to determining that a degree of deviation of a value of a response provided by the user to the cognitive test challenge from a performance metric value of the baseline aptitude profile data meets a threshold cognitive assessment threshold.

Abstract: A method, system, and computer program product for predicting a hotel room arrival for a guest at a hotel. The method comprises a hotel computer system receiving calendar information for the guest from a mobile device for the guest of the hotel while the guest is in the hotel. The method predicts the hotel room arrival for the guest at the hotel using the calendar information. The method performs an action in the hotel based on the hotel room arrival predicted for the guest.

Abstract: There is a need for more accurate and more efficient optimized delivery prediction operations. This need can be addressed by, for example, techniques for performing a plurality of optimized drug need prediction iterations in order to generate corresponding optimized delivery predictions. In one example, a method includes: performing a plurality of optimized drug need prediction iterations, wherein: each optimized drug need prediction iteration of the plurality of optimized drug need predictions is configured to generate an optimized delivery prediction for the optimized drug need prediction iteration; and performing the optimized drug delivery based at least in part on each optimized delivery prediction for an optimized drug need prediction iteration of the plurality of optimized drug need predictions.

Abstract: A computer-implemented method including: creating, by a computer device, a database record for a user in a computer-based immutable ledger; updating, by the computer device, the database record with a beginning amount of fuel when the user rents a vehicle; receiving, by the computer device, fuel purchase information from a fuel dispenser at a filling station; updating, by the computer device, the database record with the fuel purchase information; updating, by the computer device, the database record with an ending amount of fuel when the user returns the vehicle; determining, by the computer device, an amount of overpayment for fuel by the user; and updating, by the computer device, the database record with a credit based on the determined amount of overpayment.

Abstract: A method, a computer program product, and a computer system modify a version of an application. The method includes determining a sentiment being experienced by a second user while using a second version of the application installed on a second device associated with the second user based on sensory information indicative of the sentiment. The method includes generating sentiment associated information associating the sentiment of the second user with the second version of the application, the sentiment associated information configured to be exchanged with the first device over an offline, ad hoc connection. The method includes transmitting the sentiment associated information to the second device. The sentiment associated information is indicative of whether the first version of the application is to be modified on the first device to the second version of the application.