Ulku Z Rowe

US Patent:

20190019121, Jan 17, 2019

Filed:

Jul 11, 2018

Appl. No.:

16/033110

Inventors:

- New York NY, US
Ulku Rowe - New York NY, US
Agim Perolli - Carmel NY, US
Raymond Stephens - New York NY, US
Stefan Vachev - Houston TX, US

International Classification:

G06Q 10/06
G06F 9/54
G06F 9/22

Abstract:

Systems and methods for distributed business process management are disclosed. In one embodiment, in an information processing apparatus comprising at least one computer processor, a method for configuration-driven distributed orchestration using different software components to execute a complex business process may include: (1) receiving a request for a runtime flow from a flow management adapter; (2) reading a flow configuration from the request; (3) creating an instance of the runtime flow; (4) initiating a service call to each component in the runtime flow; (5) creating a runtime instance in a database along with a state of each dependency in the runtime flow; and in response to external dependencies being met: (6) building and sending message to the components using a message builder; (7) initiating flow actions via an event-driven scheduler; and (8) making a service call to at least one of the components using the message builders.

US Patent:

20180211312, Jul 26, 2018

Filed:

Jan 25, 2017

Appl. No.:

15/414775

Inventors:

- New York NY, US
Agim Perolli - Carmel NY, US
Ulku Rowe - New York NY, US
Tim Stoddart - Surrey, GB
Satyajit Balkrishna Saste - Hillsboro OR, US

International Classification:

G06Q 40/02
G06Q 20/40

Abstract:

Systems and methods for intraday facility monitoring are disclosed. In one embodiment, a method for real-time management of risk exposure for an organization may include (1) a server comprising at least one computer processor ingesting a plurality of messages from a plurality of source systems, each message relating to credit extended by an organization to one of a plurality of clients of the organization; (2) the server enriching each of the plurality of messages with reference data; (3) the server persisting the plurality of message in a database; (4) the server determining a credit risk exposure based on the persisted messages; (5) the server comparing the credit risk exposure to a risk threshold; and (6) the server reporting the credit risk exposure.