Microsoft Technology Licensing, LLC

Intel Corporation

Reid Joseph Kuhn

Sumedh N Barde

Adil Ahmed Sherwani

Alexandre Vicktorovich Grigorovitch

Geoffrey T Dunbar

Clifford P Van Dyke

Pranavakumar Punniamoorthy

Rajesh A Deshpande

Chaitanya Dutt Upadhyay

Arun Upadhyaya Kishan

James Morris Alkove

Rebecca Claire Weiss

Kirt A Debique

Vishal Vikram Ghotge

John David Bruner

Mahendra D Sekaran

Shaun Douglas Pierce

Dhigha D Sekaran

Prakash N Iyer

Jeffrey B Kay

Kedarnath Atmaram Dubhashi

Chadd B Knowlton

Jonathan D Schwartz

Amey Parandekar

Michael Grier

Anish Desai

Ming Ma

Frank Stephen Serdy, Jr

John D Skovron

Vijay Kishen Hampapur Parthasarathy

Himesh Shah

Ray Froelich

Tachen Chester Ni

Avni Harilal Rambhia

Kang Su Gatlin

Russell Downing

Tript Singh Lamba

Eugen Pajor

Ramkumar Natarajan

Christian A Gschwend

Ryan P DiCicco

Shireen Z Asous

Christina S Gentile

Bayo Olatunji

Andrew Peter Schoorl

Clifford P c/o Microsoft Corporation Van Dyke

Avni H c/o Microsoft Corporation Rambhia

Techniques described herein are directed to a sentiment analysis engine for classifying and quantifying customer sentiments between a customer and an agent. The sentiment analysis engine includes a data acquisition engine configured to receive data from a plurality of different communication channels. A preprocessing engine of the sentiment analysis engine is configured to apply rule(s) that are configured to perform formatting and/or filtering operations on the received data and/or isolate customer-provided messages from agent-provided messages. A customization engine of the sentiment analysis engine is configured to perform channel-specific customizations on the received data, such as, but not limited to interpreting the data in a channel-specific manner A batch scoring engine of the sentiment analysis engine is configured to quantify customer sentiments in real-time (e.g., during a communication session between the customer and agent), and such sentiments may be displayed via a GUI utilized by an authorized individual.

Multi-channel customer sentiment determination system and graphical user interface

A mobile device utilizes a two-stage dialing solution when roaming on a visited mobile operator (MO) network to implement centralized routing so that a home network portion of a hybrid network is inserted into the path of outbound calls. A remote centralized routing (CR) service interoperates with a CR client on the mobile device. When a call is initiated to a remote party, the CR client calls into an arbitrary roaming routing number that is terminated in the home network. Once the call is connected between the mobile device and home network, the CR client sends a dialing string that includes a destination number of the remote party. The CR service calls the destination number and then bridges the calls to the mobile device and remote party to establish an end-to-end call path between the local and far ends of the call that traverses the home network.

Centralized routing in hybrid networks

A system is disclosed for providing trusted third-party management of user device domains in a digital rights management environment. The system includes a plurality of content providers that distribute digital content items via user accounts having associated user device domains. The user device domains are managed by an independent domain manager. The domain manager includes a device registrar which is operative, for a given user device domain, to receive a request to add a device to the user device domain. If the request is grantable, a domain controller of the domain manager is operative to cause a domain private key to be transmitted to the device being added to the user device domain. The domain private key is usable at the device to decrypt a content key which was previously released to the user device domain for decrypting protected digital content.

Domain manager for extending digital-media longevity

A method of establishing a protected environment within a computing device including validating a kernel component loaded into a kernel of the computing device, establishing a security state for the kernel based on the validation, creating a secure process and loading a software component into the secure process, periodically checking the security state of the kernel, and notifying the secure process when the security state of the kernel has changed.

Protected computing environment

Systems and methods for providing a protected computing environment comprising separating out a protected environment management component from a kernel of a computing device, providing identification information as a part of the protected environment management component, and providing individualization information as part of the protected environment management component.

Renewable and individualizable elements of a protected environment

The present automatic update mechanism provides a method for determining whether computer-readable components loaded within a memory device are at a level of protection specified for protected content that a media application is attempting to process. If a current level of protection provides lower protection that the level specified, a file is updated to achieve at least the level of protection specified by the protected content. Updating the file to achieve the level of protection is performed in a manner that minimizes rebooting of a computing device.

Automatic update of computer-readable components to support a trusted environment

The present automatic update mechanism provides a method for periodically checking for updates to support a trusted environment. During the periodic check, an indication from an update service is received if there is a recommended update. Upon receiving the indication, a new revocation list is downloaded from the update service and saved as a pending revocation list. The pending revocation list is then available for on-demand update when protected content requests a higher level of protection on a computing device than the protection provided by a current level of protection on the computing device.

A system and method is provided for allocating video bandwidth of a channel that carries both video and audio information. The quality of an audio signal received over the channel is determined, and the video bandwidth of the channel is changed based upon the quality of the received audio signal. The quality of the audio signal can be determined by measuring factors including audio latency, the extent to which audio packets that are sent are not received, the sampling rate at which audio information in the audio signal is digitized, and detecting a period of audio silence.

System and method for using audio performance to control video bandwidth

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Seattle, WA, United States of America

Reid Joseph Kuhn