International Business Machines Corporation

Endemecio Santana

Tassanee Kraipon Supakkul

Romelia H Flores

Gregory Peter Fitzpatrick

Janki Y Vora

Tanya E Bubash

Shiju Mathai

Biao Hao

Julio Wong

Denzil S Menezes

Janki V Yora

Jason A Gonzales

A system for neural networks and virtual agents is provided. A computing device analyzes (i) one or more consumer requests and (ii) one or more underlying attributes. A computing device generates a threshold level of prediction of a response profile based on, but is not limited to, output data from the neural network. A computing device distributes the predicted response from the neural network to one or more cognitive service agents.

Holistic service advisor system

A computing device identifies a plurality of media files within a data store, each of the media files lacking user established file names. The computing device analyzing the plurality of media files to recognize humans in the media files based on facial recognition and/or voice recognition programs. Using results of the analyzing to generate a plurality of content identification keywords, which are scored and ranked. Establishing a filename prefix for the media files using scored and ranked content identification keywords. Automatically generating a unique file name for each of the media files, wherein each unique file name includes the established filename prefix.

Automatic media naming using facial recognization and/or voice based identification of people within the named media content

A set of media files are identified within a data store. Each of the media files lack user established file names, lack user established icons, or lack user established file names and icons. The media files are analyzed to determine semantic metadata. For at least a subset of the media files, the semantic metadata is utilized to automatically generate unique and meaningful file names, file icons, or both file names and file icons for each of the media files in the subset.

Enabling intelligent media naming and icon generation utilizing semantic metadata

The disclosure provides a solution for associating deployed executables with source code. In the solution, source code of a development environment can be mapped to a deployed executable of a runtime environment. The mapping can ensure that a version of source code from which the deployed executable was produced is always known. The mapping can occur within digitally encoded data stored in a non-transient storage medium. The development environment and the runtime environment can be two distinct and separate computing environments that are isolated from each other.

Synchronizing development code and deployed executable versioning within distributed systems

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Dallas, TX, United States of America

Endemecio Santana