US 12,242,566 B2
Data lake and self-driven system for operating enterprise and supply chain applications
Subhash Makhija, Westfield, NJ (US); Santosh Ganesh Dattatraya Bhat, Wadala East (IN); and Huzaifa S Matawala, East Brunswick, NJ (US)
Assigned to NB Ventures, Inc., Clark, NJ (US)
Filed by NB Ventures, Inc., Clark, NJ (US)
Filed on Dec. 30, 2022, as Appl. No. 18/091,522.
Application 18/091,522 is a division of application No. 16/288,513, filed on Feb. 28, 2019, granted, now 11,687,617.
Prior Publication US 2023/0214448 A1, Jul. 6, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. G06Q 10/00 (2023.01); G05B 13/02 (2006.01); G05B 13/04 (2006.01); G06F 17/18 (2006.01); G06F 17/40 (2006.01); G06F 18/20 (2023.01); G06F 18/2411 (2023.01); G06N 3/02 (2006.01); G06N 3/049 (2023.01); G06N 3/08 (2023.01); G06N 20/00 (2019.01); G06Q 10/0633 (2023.01); G06Q 10/0637 (2023.01); G06Q 10/0639 (2023.01)
CPC G06F 17/40 (2013.01) [G05B 13/027 (2013.01); G05B 13/04 (2013.01); G06F 17/18 (2013.01); G06F 18/20 (2023.01); G06F 18/2411 (2023.01); G06N 3/02 (2013.01); G06N 3/049 (2013.01); G06N 3/08 (2013.01); G06N 20/00 (2019.01); G06Q 10/0633 (2013.01); G06Q 10/0637 (2013.01); G06Q 10/0639 (2013.01)] 21 Claims
OG exemplary drawing
 
1. A self-driven system configured to operate one or more applications, the self-driven system comprising:
a datalake having
a plurality of relational and non-relational databases configured for storing a plurality of structured and unstructured data received from distinct sources in real-time, wherein a characteristic of at least one attribute of one or more of the plurality of received data is determined as a change in the at least one attribute or determination of the at least one attribute as a new attribute,
at least one functional database storing a library of functions utilized for performing a plurality of functions of the one or more applications wherein a plurality of data models generated by a controller performs the functions in real-time,
at least one data model database configured for storing the plurality of data models; and
a processor, wherein in response to determination of the at least one attribute as a new attribute, the processor
determines the one or more applications utilizing the received data from the distinct sources,
re-calibrates or remodels data models associated with the one or more applications based on the new attribute in the data lake wherein the plurality of data models are re-calibrated or re-modeled based on a predicted impact of characteristic of the at least one attribute of the stored data on the one or more applications, wherein the processor includes an AI based prediction and recommendation engine configured to recommend action/tasks.