Abstract: Methods, systems, and computer program products for placement of objects in a loading space are provided. Aspects include determining item data for a plurality of items, determining space data for a loading space, generating an optimized configuration for placement of the plurality of items in the loading space comprising determining one or more geometric representations for each item in the plurality of items, wherein the one or more geometric representations for each item are coupled together, determining, by an algorithm, a location in the loading space for each item in the plurality of items based on the one or more geometric representations for each item and the space data, and displaying, by a display, the optimized configuration comprising an image of each item of the plurality of items overlaid on corresponding locations in an image of the loading space.

Abstract: Systems and methods for content based routing are provided. Aspects include receiving, by a processor, a request to save a file. Analyzing, by the processor, data associated with the file. Determining one or more file save locations for the file based on a feature vector, generated by a machine learning model, comprising a plurality of features extracted from the data associated with the file and presenting the one or more file save locations to a user.

Abstract: Embodiments of the invention are directed to a computer-implemented method of for data transfer. The method includes a processor detecting a characteristic of a stream of data transferring from a first computing device to a second computing device using a first input/output I/O protocol. The processor detects a change in the characteristic of the data transfer. In response to detecting the change the first I/O protocol in mid-stream, to a second I/O protocol, wherein the data in the stream is reformed to comport with the second I/O protocol, and wherein the change is in response to the change in the characteristic.

Abstract: Methods, systems, and computer program products for placement of objects in a loading space are provided. Aspects include determining item data for a plurality of items, determining space data for a loading space, generating an optimized configuration for placement of the plurality of items in the loading space comprising determining one or more geometric representations for each item in the plurality of items, wherein the one or more geometric representations for each item are coupled together, determining, by an algorithm, a location in the loading space for each item in the plurality of items based on the one or more geometric representations for each item and the space data, and displaying, by a display, the optimized configuration comprising an image of each item of the plurality of items overlaid on corresponding locations in an image of the loading space.

Abstract: Embodiments of the invention are directed to a computer-implemented method of for data transfer. The method includes a processor detecting a characteristic of a stream of data transferring from a first computing device to a second computing device using a first input/output I/O protocol. The processor detects a change in the characteristic of the data transfer. In response to detecting the change the first I/O protocol in mid-stream, to a second I/O protocol, wherein the data in the stream is reformed to comport with the second I/O protocol, and wherein the change is in response to the change in the characteristic.

Abstract: Provided are systems, methods, and media for building a dynamic digital profile of a user to generate a user grouping recommendation. An example method includes receiving, by a system comprising one or more processors, social media data pertaining to a user. The method includes building, by the system, a digital profile of the user based on extraction of a combination of one or more of image data, text data, and/or location data, in which the building of the digital profile includes generating, by the system, a keywords ranking. The method includes generating, by the system, a user grouping recommendation for the user based on the ranking of keywords, in which the user grouping recommendation includes event data and a list of one or more second users attending the event.

Abstract: Systems and methods for content based routing are provided. Aspects include receiving, by a processor, a request to save a file. Analyzing, by the processor, data associated with the file. Determining one or more file save locations for the file based on a feature vector, generated by a machine learning model, comprising a plurality of features extracted from the data associated with the file and presenting the one or more file save locations to a user.

Abstract: Provided are systems, methods, and media for building a dynamic digital profile of a user to generate a user grouping recommendation. An example method includes receiving, by a system comprising one or more processors, social media data pertaining to a user. The method includes building, by the system, a digital profile of the user based on extraction of a combination of one or more of image data, text data, and/or location data, in which the building of the digital profile includes generating, by the system, a keywords ranking. The method includes generating, by the system, a user grouping recommendation for the user based on the ranking of keywords, in which the user grouping recommendation includes event data and a list of one or more second users attending the event.