Abstract: A computer-implemented method may include obtaining, by processor, a first message composed in a first language and obtaining, by the processor, a translated first message. The translated first message may include a translation of the first message from the first language to a second language. The method may further include determining, by the processor, that the translated first message includes a translation-generated additional meaning, and notifying, by the processor, the first user of the determination.

Abstract: Aspects of the invention include detecting activity at a physical location in a data center and identifying a device having a connection proximate to the physical location. It is determined whether configuration documentation for the device has been updated subsequent to the detecting of the activity. A request to update the configuration documentation is sent based on determining that the configuration documentation for the device has not been updated subsequent to the detecting.

Abstract: Embodiments include techniques for determining the validity of service recommendations, where the techniques include receiving a service provider recommendation for a device from a service provider, and receiving device inputs and service provider inputs associated with the device. The techniques also include performing an input analysis on the device inputs to determine a predicted recommendation, and determining a trust level score for the service provider based at least in part on the service provider inputs, and comparing the service provider recommendation and the predicted recommendation. Techniques include performing, based at least in part on the trust level score, a value analysis and a severity analysis, and generating a recommended action based at least in part on the value analysis and the severity analysis.

Abstract: Embodiments include techniques for determining the validity of service recommendations, where the techniques include receiving a service provider recommendation for a device from a service provider, and receiving device inputs and service provider inputs associated with the device. The techniques also include performing an input analysis on the device inputs to determine a predicted recommendation, and determining a trust level score for the service provider based at least in part on the service provider inputs, and comparing the service provider recommendation and the predicted recommendation. Techniques include performing, based at least in part on the trust level score, a value analysis and a severity analysis, and generating a recommended action based at least in part on the value analysis and the severity analysis.

Abstract: In an approach for determining an interruption event for currently playing media, a processor receives a first external audio external to a media player that a user is listening to. A processor detects a first interruption action from the user of the media player. A processor generates a first acoustic fingerprint, based on the first external audio, which identifies the first external audio. A processor saves the first acoustic fingerprint to a database.

Abstract: Aspects of the present disclosure relate to event scheduling. An indication of an attempt to schedule a first meeting designated at a first time is received. Attendee calendar data for a prospective meeting attendee invited to the first meeting is received. A determination is made that the prospective meeting attendee is scheduled with a second meeting designated at the first time based on the attendee calendar data. A probabilistic availability that the prospective meeting attendee will be available to attend the first meeting at the first time is calculated. The probabilistic availability is then compared to a threshold. In response to the probabilistic availability satisfying the threshold, the first meeting at the first time is scheduled for the prospective meeting attendee.

Abstract: A booking request is received for a room. Booking efficiency data for a user associated with the booking request is retrieved. Based on the booking efficiency data and a set of room attributes for the room, the booking request is determined to fail a restriction criterion. In response to failing the restriction criterion, a predicted demand threshold for the room is determined to not be met. The room is booked for the user, according to the booking request.

Abstract: A computer-implemented method may include obtaining, by processor, a first message composed in a first language and obtaining, by the processor, a translated first message. The translated first message may include a translation of the first message from the first language to a second language. The method may further include determining, by the processor, that the translated first message includes a translation-generated additional meaning, and notifying, by the processor, the first user of the determination.

Abstract: Techniques for media selection and delivery scheduling are described herein. An aspect includes determining an available timeslot corresponding to a user based on a calendar that is associated with the user. Another aspect includes determining a user device that is available to the user during the available timeslot. Another aspect includes selecting media for consumption by the user during the available timeslot via the available user device. Another aspect includes causing the selected media to be delivered to the user via the available user device during the available timeslot.

Abstract: Embodiments include techniques for determining the validity of service recommendations, where the techniques include receiving a service provider recommendation for a device from a service provider, and receiving device inputs and service provider inputs associated with the device. The techniques also include performing an input analysis on the device inputs to determine a predicted recommendation, and determining a trust level score for the service provider based at least in part on the service provider inputs, and comparing the service provider recommendation and the predicted recommendation. Techniques include performing, based at least in part on the trust level score, a value analysis and a severity analysis, and generating a recommended action based at least in part on the value analysis and the severity analysis.

Abstract: Embodiments include techniques for determining the validity of service recommendations, where the techniques include receiving a service provider recommendation for a device from a service provider, and receiving device inputs and service provider inputs associated with the device. The techniques also include performing an input analysis on the device inputs to determine a predicted recommendation, and determining a trust level score for the service provider based at least in part on the service provider inputs, and comparing the service provider recommendation and the predicted recommendation. Techniques include performing, based at least in part on the trust level score, a value analysis and a severity analysis, and generating a recommended action based at least in part on the value analysis and the severity analysis.

Abstract: To mitigate collisions in a physical space during gaming, a set of physical objects and a user situated in the 3D space are mapped to determine a spacing between an object in the set of physical objects and the user, where the user moves in the 3D space to cause a motion in a virtual environment of a game. A prediction is computed that the user will make a motion in the 3D space during the gaming. For the motion in the 3D space, a motion trajectory of the user is computed using a measurement parameter corresponding to the user stored in a user profile. A detection is made that the motion trajectory of the user violates a spacing threshold between the user and the object, and the user is alerted about a risk of collision between the user and the object in the 3D space.

Abstract: To mitigate collisions in a physical space during gaming, a set of physical objects and a user situated in the 3D space are mapped to determine a spacing between an object in the set of physical objects and the user, where the user moves in the 3D space to cause a motion in a virtual environment of a game. A prediction is computed that the user will make a motion in the 3D space during the gaming. For the motion in the 3D space, a motion trajectory of the user is computed using a measurement parameter corresponding to the user stored in a user profile. A detection is made that the motion trajectory of the user violates a spacing threshold between the user and the object, and the user is alerted about a risk of collision between the user and the object in the 3D space.