US 12,282,875 B2
Linkedchain, control tower and blockchain for enterprise applications
Subhash Makhija, Westfield, NJ (US); Huzaifa Shabbir Matawala, East Brunswick, NJ (US); Shivendra Singh Malik, Vasco-da-Gama (IN); and Vinayak Agashe, Irving, TX (US)
Assigned to NB Ventures, Inc., Clark, NJ (US)
Filed by NB Ventures, Inc., Clark, NJ (US)
Filed on Dec. 30, 2019, as Appl. No. 16/730,069.
Prior Publication US 2021/0201236 A1, Jul. 1, 2021
Int. Cl. G06Q 10/0631 (2023.01); G06F 16/27 (2019.01)
CPC G06Q 10/06315 (2013.01) [G06F 16/27 (2019.01); G06Q 2220/00 (2013.01)] 46 Claims
OG exemplary drawing
 
1. A linkedchain based Control tower system for operating one or more applications, the system comprising: a server configured to receive at least one impact data from at least one data object source; a memory storing a data lake, an analysis module coupled to an AI based rule engine, a recommendation engine, and an ingestion layer including at least one linking object, the at least one linking object having at least one connector element; and a processor configured to connect the at least one linking object to at least one data object to form a linked chain wherein a control tower is connected to the at least one data object by the at least one connector element wherein the at least one connector element includes a chain connector element and a non-chain connector element wherein the at least one chain connector element is configured for connecting with the at least one data object through a set of connection protocols wherein the at least one data object includes a blockchain network including a plurality of data blocks associated with one or more entities, wherein at least one block connector associated with the at least one linking object is configured to extend connection of the linking object to a newly added data block of a network, wherein the at least one block connector performs data validation, block validation, and configuration compatibility on the impact data before extending connection to the new data block, use an AI based rule engine to identify at least one impact of the received data on one or more functions of the applications to create at least one application scenario, use the recommendation engine to process a plurality of historical datasets and the application scenario to recommend action based on a dynamic processing logic, and generate a faster processing path based on the recommended action wherein the processing path is generated after identification of relevant blocks of the at least one data object for execution of the recommended action, wherein the analysis module processes the impact data for predicting the reconfiguration protocol where the reconfiguration is implemented based on identification of the faster processing path to execute the recommended action.