Abstract: A computer-implemented method, a computer system and a computer program product add a mapped holographic projection to a screen sharing session. The method includes transmitting a screen image from a presenter computing device to a participant computing device. The method also includes capturing a body movement image of the presenter using a camera. The method further includes identifying a gesture in the body movement image and mapping the gesture to the screen image. In addition, the method includes generating a holographic projection of a mapped gesture of the presenter. Lastly, the method includes displaying the holographic projection at the participant computing device in front of the screen image.

Abstract: A wireless charging station includes a power transmitting antenna; a controller, a distance-to-user tool of the controller to determine a distance between a user and the wireless charging station; and an output power control of the controller to adjust a power output of the power transmitting antenna based on the determined distance between the user and the wireless charging station.

Abstract: A method, computer program product, and a system are configured to: detect sensors in an Internet-of-Things (IoT) network of a supply chain of fresh produce; collect data from the detected sensors via the IoT network; determine a demand of a type of produce at a future date using the collected data and a forecasting model; determine a change to an output of a greenhouse growing the type of produce based on the determined demand for the type of produce; determine a growing plan for the greenhouse based on the determined change to the output of the greenhouse; adjust one or more growing environment conditions in the greenhouse based on the growing plan, wherein the adjusting includes sending control signals to one or more computer-based environment control systems in the greenhouse, and wherein the adjusting changes a maturity time of a batch of the type of produce growing the greenhouse.

Abstract: Provided are techniques for intelligent preemptive processing to avoid data from becoming Redundant, Obsolete or Trivial (ROT). An application configuration is monitored to generate application configuration data. Application settings are reconfigured based on the application configuration data and based on a risk data list, where the risk data list identifies one or more data files. A data file of the data files in an existing data format is preemptively converted to a new data format based on the reconfigured application settings. An attempt is made to verify the conversion by using the reconfigured application settings. In response to determining that the conversion succeeded and that a request is received from a new application to open the data file, the data file having the new data format is opened. In response to determining that the conversion failed, an error message is sent to request update of server data.

Abstract: Methods and systems for cognitive font enrichment management for adding system fonts are provided. A system for providing cognitive font enrichment management for adding system fonts includes a monitoring module that monitors web font operations. The system also includes a font conversion module that identifies a web font associated with a new glyph that is not described in a local system font repository and converts the identified web font associated with the new glyph into a default system font format. Further, the system includes a validation module that validates the converted web font associated with the new glyph. Additionally, the system includes an update module that updates the local system font repository with the validated converted web font associated with the new glyph.

Abstract: Techniques for proactive prevention of data breaches are provided. A first text segment corresponding to a sensitive entity is identified in a string of text, based on one or more security profiles. The first text segment in the string of text is replaced with a first entity holder. A first translation is generated by processing the string of text with a first translation service, and a second translation is generated by processing the first text segment with a second translation service, distinct from the first translation service. The first and second translations are merged to produce a final translation, where merging the first and second translations comprises removing the first entity holder from the final translation.

Abstract: Methods and systems for cognitive font enrichment management for adding system fonts are provided. A system for providing cognitive font enrichment management for adding system fonts includes a monitoring module that monitors web font operations. The system also includes a font conversion module that identifies a web font associated with a new glyph that is not described in a local system font repository and converts the identified web font associated with the new glyph into a default system font format. Further, the system includes a validation module that validates the converted web font associated with the new glyph. Additionally, the system includes an update module that updates the local system font repository with the validated converted web font associated with the new glyph.

Abstract: Techniques for proactive prevention of data breaches are provided. A first text segment corresponding to a sensitive entity is identified in a string of text, based on one or more security profiles. The first text segment in the string of text is replaced with a first entity holder. A first translation is generated by processing the string of text with a first translation service, and a second translation is generated by processing the first text segment with a second translation service, distinct from the first translation service. The first and second translations are merged to produce a final translation, where merging the first and second translations comprises removing the first entity holder from the final translation.

Abstract: Technical solutions are described for verifying translatability compliance of a new code for a computer program product includes receiving a notification about a check-in request for the new code, and in response determining whether to verify the translatability compliance of the new code. The method further includes, in response to the translatability compliance being verified, determining whether the new code includes a hardcoded message. Further, in response to identifying the hardcoded message, the method includes sending a warning notification to a developer of the new code. Also, the method includes enabling the check-in of the new code in response to the translatability compliance not being verified.

Abstract: Technical solutions are described for verifying translatability compliance of a new code for a computer program product includes receiving a notification about a check-in request for the new code, and in response determining whether to verify the translatability compliance of the new code. The method further includes, in response to the translatability compliance being verified, determining whether the new code includes a hardcoded message. Further, in response to identifying the hardcoded message, the method includes sending a warning notification to a developer of the new code. Also, the method includes enabling the check-in of the new code in response to the translatability compliance not being verified.