Dell Products Inc.

Lokesh Venugopal

Christina White

Amit Sawhney

Anushmita Roy Choudhury

Sachin Jayant Deo

Methods, apparatus, and processor-readable storage media for automatically migrating process capabilities using AI techniques are provided herein. An example computer-implemented method includes determining, for a process of an enterprise, process requirements by analyzing data related to the process and data related to the enterprise; generating a recommendation of process capabilities to be incorporated into the process by processing, using AI techniques, the analyzed data; forecasting behavior of the process in conjunction with portions of the recommended process capabilities by performing simulations of the process incorporating the portions of the recommended process capabilities; developing modified versions of the process, based on the forecasting, by migrating feature sets into portions of code associated with the process; testing the modified versions of the process by performing simulations of the modified versions; and deploying at least one of the modified versions of the process based on the testing.

Automatically migrating process capabilities using artificial intelligence techniques

In some examples, a server may use machine learning to determine, based on service requests associated with multiple computing devices, that a component included in the multiple computing devices is predicted to fail at a particular date. The server may use the machine learning to determine, based on the particular date and an expiration date of a warranty associated with the computing devices, that a customer may initiate a service request on a predicted service date. The machine learning may determine recommended solutions including purchasing an extended warranty, purchasing extended services (e.g., on-site service), purchasing a depot clinic service, or trading in the multiple computing devices for newer computing devices. In response to receiving a purchase order to purchase at least one of the recommended solutions, the server may initiate at least one of the recommended solutions.

Training a machine learning algorithm to predict when computing devices may have issues

Methods, apparatus, and processor-readable storage media for automatically identifying and correcting erroneous process actions using artificial intelligence techniques are provided herein. An example computer-implemented method includes discovering, during execution of a given process, one or more process action variants by processing data related to the given process using at least a first set of artificial intelligence techniques; categorizing at least a portion of the discovered process action variants into one or more groups based at least in part on historical process-related data and at least one density-based clustering algorithm; determining at least one resolution action in response to at least a portion of the one or more discovered process action variants by processing data pertaining to the one or more groups using at least a second set of artificial intelligence techniques; and performing the at least one determined resolution action.

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Georgetown, TX, United States of America

Lokesh Venugopal