Cisco Technology, Inc.

Matthew R Engle

David C White, Jr

Jay Kemper Johnston

Magnus Mortensen

Qihong Shao

William H Ballard

Jeffrey Dominick Jackson

Gurvinder Singh

Russell E Sellers

Paul T Young

Josh Viktorov

Gregory H Carter

Carlos M Pignataro

Gonzalo A Salgueiro

Jean-David Dahan

Doosan Jung

Ryan Alan MacLennan

Nathan W Atkins

Nicholas J Pausback

Craig R Roffers

Jeffrey Guillot

Rajesh Vargheese

James D Stanley, Iii

Adam D HerrNeckar

Prashant R Prabhudesai

Adam D Herrneckar

John T Miller

Karsten R Wokoek

A management server measures network activity of user devices to determine activities of the users associated with each user device. The management server generates digital model personas corresponding to the users based on one or more activities of the user. The management server clusters the digital model personas to generate user groups based on similar activities, and compares a first digital model persona from a first user with at least one second digital model persona.

Comparing network usage against digital model personas

A platform dynamically detects a user persona and facilitates a user objective in a user session. The platform obtains user activity of users across multiple historical sessions. The platform clusters similar user activity across the historical sessions to determine personas being used in the historical sessions. The platform mines sequential patterns in a set of user activity data associated with one of the personas and determines at least one predictive rule associated with that persona. Each predictive rule includes an initial activity among the set of user activity data and at least one subsequent activity in the set of user activity data.

Dynamically detecting user personas of network users for customized suggestions

A network management system tests the availability of a network resource before a user performs a task with the network resource. The system measures network activity of a user performing one or more tasks. The network activity includes communication between a user device of the user and each network resource associated with a corresponding task performed by the user. The system also generates a digital model persona of the user based on the tasks performed by the user, and determines a schedule of the tasks performed the user. Each particular task is associated with a corresponding execution time for the user. The system further configures the digital model persona to test the network resource associated with each corresponding task at a testing time that is a predetermined length of time prior to the execution time for the user.

Predicting future network issues for users with digital model personas

A plurality of time and motion data sets are correlated at a network connected device. The time and motion data sets track an item of interest, and at least one of the time and motion data sets comprises energy consumption data or wireless local area network location data. Physical presence for the item of interest is determined based upon the correlating of the multiple time and motion data sets. Based upon the physical presence of the item of interest, an unacceptable condition for the item of interest may be determined. The unacceptable condition for the item of interest is remedied.

Time and motion data fusion for determining and remedying issues based on physical presence

The agile information technology infrastructure management system and related methods and processes provide a solution with the required flexibility to effectively and efficiently monitor and manage a wide-variety of disparate information technology and network infrastructure deployed in businesses and enterprises throughout a region or the world.

Agile information technology infrastructure management system

Growing community of inventors

San Jose, CA, United States of America

Matthew R Engle