US 11,972,364 B2
Automated service design using AI/ML to suggest process blocks for inclusion in service design structure
Puneet Srivastava, Round Rock, TX (US); Donald Charles Guthan, Jr., Round Rock, TX (US); Sathish Kumar Bikumala, Round Rock, TX (US); and Amit Sawhney, Round Rock, TX (US)
Assigned to Dell Products L.P., Round Rock, TX (US)
Filed by Dell Products L. P., Round Rock, TX (US)
Filed on Jul. 23, 2020, as Appl. No. 16/936,513.
Prior Publication US 2022/0027753 A1, Jan. 27, 2022
Int. Cl. G06N 5/04 (2023.01); G06F 8/36 (2018.01); G06N 20/00 (2019.01); G06Q 10/067 (2023.01); G06Q 10/10 (2023.01)
CPC G06N 5/04 (2013.01) [G06F 8/36 (2013.01); G06N 20/00 (2019.01); G06Q 10/067 (2013.01); G06Q 10/10 (2013.01)] 17 Claims
OG exemplary drawing
 
1. A computer-implemented method for use in designing a service, the method comprising:
adding a process block to a service design structure for a service, wherein the process block corresponds to a plurality of process block in a category divided according to corresponding attributes in a tree-type structure;
providing the process block to a trained AI (Artificial Intelligence)/ML (Machine Learning) process prediction model;
using the trained AI/ML process prediction model to suggest one or more further process blocks for addition to the service design structure based, at least in part, on the addition of the process block to the service design structure, wherein the trained AI/ML process prediction model suggests the one or more further process blocks based on a comparison of the process blocks in the service design structure with process blocks in other service design structures constructed for similar services; and
adding one or more suggested process blocks to the service design structure.