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Geri Dee Mcgrath

from Oak Island, NC
Age ~53
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Also known as:
Geri D Mcgrath, Geri Dee Bowden Mcgrath, Geri B Mcgrath, Geri Dee Bowden, Geri D Bowden, Geri L Bowden, Geraldine Bowden, Jeri Bowden, Jeri Mcgrath, Gary Bowden
Related to:
David W Dixon, 33Dewitt BowdenElizabeth A Mcgrath, 64Angela Dixon, 62Dale Dixon
Connected to:
Adelita Mcgrath, 43Alec Mcgrath, 26Amber Mcgrath, 42Andrea F Mcgrath, 40Annette M Mcgrath, 40Asekha S Mcgrath, 44Ashleigh M Mcgrath, 29Avery M Mcgrath, 26Benjamin Mcgrath, 94Bessie A Mcgrath, 78

Geri Mcgrath Phones & Addresses

  • Oak Island, NC
  • Apex, NC
  • Raleigh, NC
  • 403 Felspar Way, Cary, NC 27518 (919) 254-8744
  • Salter Path, NC
  • Indian Beach, NC
  • King of Prussia, PA
  • Pottstown, PA
  • Buffalo, NY
  • 403 Felspar Way, Cary, NC 27518

Industries

Computer Hardware

Resumes

Resumes

Geri Mcgrath Photo 1

Lifecycle Optimization Manager At Ibm

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Location:
Raleigh-Durham, North Carolina Area
Industry:
Computer Hardware

Publications

Us Patents

Method Of Optimizing A Workforce Through The Identification And Segmentation Of Resources And Job Tasks

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US Patent:
20080091498, Apr 17, 2008
Filed:
Sep 29, 2006
Appl. No.:
11/537057
Inventors:
Michael Darren Chiverton - Wingdale NY, US
John Albert Dell' Arciprete - Raleigh NC, US
Paul John Hardisty - Beacon NY, US
Mark A. Henderson - Cornwall NY, US
Geri Dee McGrath - Cary NC, US
Nicholas Louis Volkringer - Southbury CT, US
International Classification:
G06F 15/02
US Classification:
705 9
Abstract:
A method, data processing system, and computer usable program code are provided for optimizing a workforce for a company. An organizational development structure and an optimization performance structure are identified. A set of functional strategy tasks are developed using the organizational development structure and the optimization performance structure. An inventory of current tasks and skills within the company is performed, and tasks and skills from the current inventory of tasks and skills that are associated with the set of functional strategy tasks are identified to form a set of identified tasks and skills. A set of skill gaps are then identified using the set of identified tasks and skills.

Risk Measurement Driven Data Protection Strategy

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US Patent:
20180189146, Jul 5, 2018
Filed:
Jan 4, 2017
Appl. No.:
15/397900
Inventors:
- Armonk NY, US
Tomasz M. Gasiorowski - Kruszyn, PL
Daisy Mae L. Jose - Apex NC, US
Geri D. McGrath - Cary NC, US
International Classification:
G06F 11/14
G06F 21/62
Abstract:
Techniques are disclosed for dynamically changing a data protection plan based on a risk score. The risk score is continuously or periodically recalculated based on situational factors that are detected from external modules. The situational factors can include natural phenomena such as weather, fire, and seismic activity. The situational factors can include manmade phenomena such as financial conditions, political stability in the region where the data resides, war, terrorist attacks, and the like. The situational factors are retrieved from one or more external modules. The external modules may be IoT (Internet of Things) modules. The external modules are monitored, and as new data from the external modules becomes available, a risk score for stored data is computed. The risk score is then used to select an appropriate data protection plan.

Risk Measurement Driven Data Protection Strategy

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US Patent:
20180189147, Jul 5, 2018
Filed:
Dec 18, 2017
Appl. No.:
15/844940
Inventors:
- Armonk NY, US
Tomasz M. Gasiorowski - Kruszyn, PL
Daisy Mae L. Jose - Apex NC, US
Geri D. McGrath - Cary NC, US
International Classification:
G06F 11/14
G06F 21/62
Abstract:
Techniques are disclosed for dynamically changing a data protection plan based on a risk score. The risk score is continuously or periodically recalculated based on situational factors that are detected from external modules. The situational factors can include natural phenomena such as weather, fire, and seismic activity. The situational factors can include manmade phenomena such as financial conditions, political stability in the region where the data resides, war, terrorist attacks, and the like. The situational factors are retrieved from one or more external modules. The external modules may be IoT (Internet of Things) modules. The external modules are monitored, and as new data from the external modules becomes available, a risk score for stored data is computed. The risk score is then used to select an appropriate data protection plan.
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Geri Dee Mcgrath from Oak Island, NC, age ~53 Get Report