Allison M Moore

US Patent:

20180365052, Dec 20, 2018

Filed:

Jun 16, 2017

Appl. No.:

15/624809

Inventors:

- Armonk NY, US
Alexandre A. Da Silva - Morrisville NC, US
Jeremy A. Greenberger - Raleigh NC, US
Li Li - Cary NC, US
Allison M. Moore - Brooklyn NY, US

International Classification:

G06F 9/48
G06F 17/30

Abstract:

Embodiments include techniques for channeling elements in an analytics engine environment, techniques include analyzing a current process, and identifying critical data element types associated with the current process. The techniques also include receiving a real-time data stream including a plurality of data elements, and pre-filtering the plurality of data elements, wherein the pre-filtering determines one or more of the plurality of data elements are associated with the critical data element type. The technique includes selecting a channel of a plurality of channels to fast-path the one or more of the plurality of data elements based at least in part on the pre-filtering, and increasing a confidence level corresponding to the current process and the critical data element type based on a state of the current process.

US Patent:

20180365054, Dec 20, 2018

Filed:

Nov 9, 2017

Appl. No.:

15/807994

Inventors:

- Armonk NY, US
Alexandre A. Da Silva - Morrisville NC, US
Jeremy A. Greenberger - Raleigh NC, US
Li Li - Cary NC, US
Allison M. Moore - Brooklyn NY, US

International Classification:

G06F 9/48
G06F 17/30

Abstract:

Embodiments include techniques for channeling elements in an analytics engine environment, techniques include analyzing a current process, and identifying critical data element types associated with the current process. The techniques also include receiving a real-time data stream including a plurality of data elements, and pre-filtering the plurality of data elements, wherein the pre-filtering determines one or more of the plurality of data elements are associated with the critical data element type. The technique includes selecting a channel of a plurality of channels to fast-path the one or more of the plurality of data elements based at least in part on the pre-filtering, and increasing a confidence level corresponding to the current process and the critical data element type based on a state of the current process.