US 12,468,714 B2
Self-learning analytical solution core
Mauro A. Damo, Windermere, FL (US); Wei Lin, Plainsboro, NJ (US); and William Schmarzo, Palo Alto, CA (US)
Assigned to Hitachi Vantara LLC, Santa Clara, CA (US)
Appl. No. 18/266,178
Filed by HITACHI VANTARA LLC, Santa Clara, CA (US)
PCT Filed Dec. 21, 2020, PCT No. PCT/US2020/066387
§ 371(c)(1), (2) Date Jun. 8, 2023,
PCT Pub. No. WO2022/139789, PCT Pub. Date Jun. 30, 2022.
Prior Publication US 2024/0046041 A1, Feb. 8, 2024
Int. Cl. G06F 16/2457 (2019.01)
CPC G06F 16/24575 (2019.01) 16 Claims
OG exemplary drawing
 
1. A method for a system comprising a plurality of sensors associated with a plurality of apparatuses, the method comprising, for receipt of a hypothesis canvas and meta-data from the plurality of sensors:
generating a plurality of meta-pipeline stages, the plurality of meta-pipeline stages comprising the meta-data and one or more stages, each of the one or more stages being an analytics application or a machine learning application stacked in execution order based on the meta-data and the hypothesis canvas; and
executing the plurality of meta-pipeline stages in execution order on the meta-data to generate an analytics model for the system.