DR. JESSICA ROSE LONG, MD
Medical Practice at Maryland Ave, Chicago, IL

License number
Illinois 125070845
Category
Medical Practice
Type
Obstetrics & Gynecology
Address
Address 2
5841 S Maryland Ave #MC2050, Chicago, IL 60637
180 Harvester Dr STE 110, Willowbrook, IL 60527
Phone
(773) 834-0598
(773) 702-1150

Professional information

See more information about JESSICA ROSE LONG at trustoria.com
Jessica Long Photo 1
Project Manager, Mcgraw-Hill Education

Project Manager, Mcgraw-Hill Education

Position:
Production Coordinator at McGraw-Hill Education
Location:
Chicago, Illinois
Industry:
Publishing
Work:
McGraw-Hill Education - Chicago, IL since 2007 - Production Coordinator
Education:
Ohio Dominican University 2009 - 2011
Master of Science, Management
Kent State University 2002 - 2006
Bachelor of Arts, Organizational Communication


Jessica Long Photo 2
Front Desk Manager At Hampton Inn &Amp; Suites

Front Desk Manager At Hampton Inn &Amp; Suites

Position:
Front Desk Manager at Hampton Inn & Suites
Location:
Greater Chicago Area
Industry:
Hospitality
Work:
Hampton Inn & Suites - Front Desk Manager


Jessica Long Photo 3
Dynamic Server Consolidation And Rationalization Modeling Tool

Dynamic Server Consolidation And Rationalization Modeling Tool

US Patent:
2007009, Apr 26, 2007
Filed:
Oct 24, 2006
Appl. No.:
11/552422
Inventors:
Marc Snyder - Sudbury MA, US
Richard Melnicoff - Menlo Park CA, US
Bogdan Konsur - Highland Park IL, US
Jessica Long - Chicago IL, US
Charles Heo - Plano TX, US
Timothy Bainter - St. Louis MO, US
James Steele - San Francisco CA, US
Edward Schall - San Francisco CA, US
International Classification:
G06F 15/173
US Classification:
709223000
Abstract:
A method and system for providing efficient and flexible techniques for modeling technical and economic benefits of consolidating information technology (IT) systems, hardware, software, network, and other infrastructure are described. The system includes a data processing system configured to receive data from a user. The system also includes an input collection system communicatively coupled to the data processing system, with the input collection system designed to organize, convert, and sort the data to generate baseline server information. In addition, the system includes an optimization system communicatively coupled to the data processing system, with the optimization system designed to generate one or more server consolidation models based on the baseline server information. Further, based on the generated one or more server consolidation models, a recommendation can be generated.


Jessica Long Photo 4
Dynamic Server Consolidation And Rationalization Modeling Tool

Dynamic Server Consolidation And Rationalization Modeling Tool

US Patent:
8195785, Jun 5, 2012
Filed:
Jun 23, 2010
Appl. No.:
12/821290
Inventors:
Mark E. Snyder - Sudbury MA, US
Richard M. Melnicoff - Menlo Park CA, US
Bogdan Konsur - Highland Park IL, US
Jessica Long - Chicago IL, US
Charles Heo - Plano TX, US
Timothy Bainter - St. Louis MO, US
James Steele - San Francisco CA, US
Edward M. Schall - San Francisco CA, US
Assignee:
Accenture Global Services Limited - Dublin
International Classification:
G06F 15/173
US Classification:
709223, 709224, 709225, 709227, 703 3, 718100, 718105, 702182
Abstract:
A method and system for providing efficient and flexible techniques for modeling technical and economic benefits of consolidating information technology (IT) systems, hardware, software, network, and other infrastructure are described. The system includes a data processing system configured to receive data from a user. The system also includes an input collection system communicatively coupled to the data processing system, with the input collection system designed to organize, convert, and sort the data to generate baseline server information. In addition, the system includes an optimization system communicatively coupled to the data processing system, with the optimization system designed to generate one or more server consolidation models based on the baseline server information. Further, based on the generated one or more server consolidation models, a recommendation can be generated.