Microsoft Technology Licensing, LLC

Debi P Mishra

Henricus Johannes Maria Meijer

Alexander G Gounares

Lili Cheng

Gary William Flake

Ira L Snyder, Jr

Matthew Bret MacLaurin

Amit Mital

James R Larus

Thomas F Bergstraesser

William Henry Gates, Iii

Raymond Edward Ozzie

Michael J Connolly

Daniel S Glasser

Arnold Neil Blinn

Christopher Wellington Brumme

Melora Zaner-Godsey

Chandramohan Amyangot Thekkath

Nishant Dani

Markus Horstmann

Mark H Lucovsky

Bharat Shah

Daniel F Plastina

Dane Alexander Glasgow

Nikhil Jain

David Rogers Treadwell, Iii

David E Kays, Jr

Michael J Cherry

William J Bolosky

Shannon J Chan

Sudarshan Raghunathan

David E Kays

Ira Snyder

Sadagopan Rajaram

Damon Robert Hachmeister

Sushil Baid

Parry Husbands

Gregory A Jensenworth

Andy Linfoot

Kishore M N

Ramesha Chandrasekhar

Galen Clyde Hunt

Raja Krishnaswamy

Ullattil Shaji

James Squires Masson

Devidas Joshi

Stephen M Blanding

Dennis Angeline

P Vasantha Rao

Brian R Hall

John Samuel Azariah

Thomas Alex

Gopinath C H

A platform that provides a way to automatically compose and execute even complex workflows without writing code is described. A set of pre-built functional building blocks can be provided. The building blocks perform data transformation and machine learning functions. The functional blocks have well known plug types. The building blocks can be composed build complex compositions. Input and output files are converted to a standard data type so that modules are pluggable.

Composing and executing workflows made up of functional pluggable building blocks

Systems and methods that provide for a virtual reality entertainment system that supplies immersive entertainment and creates a sensation for a user similar to having guests in a remote location to be physically present as virtual guests. Such virtual reality entertainment system can supply a graphic and/or audio; wherein interconnected computers, video and audio processing devices, supply a live interaction between a user and a guest(s). Although guests are only present virtually (e.g., electronically present with other objects/user within the environment) such virtual invitation enables a user and guests to concurrently experience the entertainment together (e.g., a live sporting event, spectator game). In a related aspect, the subject innovation can implement holographic avatars, and a plurality of communication interfaces, to imitate (and/or transform) a relationship between the user and the virtual guests/surrounding environment.

Transformations for virtual guest representation

The claimed subject matter provides a system and/or a method that facilitates re-locating a web application associated with a network service utilizing a portion of serialized data. The network service can be any collection of resources that are maintained by a party (e.g., third-party, off-site, etc.) and accessible by an identified user over a network (e.g., WAN, Internet, etc.). An interface component can receive a portion of serialized data with transparent structure related to an application specification. A hydrate component can create a web application independent of a network service based at least in part upon the serialized data, the web application has state within the network service.

Serialization of run-time state

Transportable web application

The claimed subject matter provides a system and/or a method that facilitates preserving and maintaining data and/or services associated with a network service. The network service can be any collection of resources that are maintained by a party (e.g., third-party, off-site, etc.) and accessible by an identified user over a network (e.g., WAN, Internet, etc.). An interface component can receive a termination notification related to the network service. An executor component can relocate at least a portion of one of data and a service associated with the terminated network service to a disparate replacement network service in order to preserve any services and/or data related therewith.

Determination of optimized location for services and data

A system that enables a cloud-based data repository to function as a secure 'drop-box' for data that corresponds to a user is provided. The 'drop box' can be facilitated through the use of cryptographic keying technologies. For instance, data that is &#x2018;dropped&#x2019; by or on behalf of a particular user can be encrypted using a public key that corresponds to a user-specific private key. Thus, although the data resides within the large pool of &#x2018;cloud-based&#x2019; data, it is protected since it can only be decrypted by using the private key, which is kept secret. The innovation can further facilitate user-centric secure storage by partitioning the cloud-based repository into multiple partitions, each of which corresponds to specific indexing criteria.

Data security in an off-premise environment

Off-premise encryption of data storage

Remote provisioning of an IT network and/or associated services is provided. Hardware, software, service and/or expertise can be moved from on-premise to a remote location (e.g., central, distributed . . . ). Accordingly, at least a large degree computation can be moved to the center to exploit economies of scale, among other things. In such an architecture, computational resources (e.g., data storage, computation power, cache . . . ) can be pooled, and entities can subscribe to a particular level of resources related to a private entity IT network.

Remote provisioning of information technology

Virtual entertainment

Personal data mining mechanisms and methods are employed to identify relevant information that otherwise would likely remain undiscovered. Users supply personal data that can be analyzed in conjunction with data associated with a plurality of other users to provide useful information that can improve business operations and/or quality of life. Personal data can be mined alone or in conjunction with third party data to identify correlations amongst the data and associated users. Applications or services can interact with such data and present it to users in a myriad of manners, for instance as notifications of opportunities.

Personal data mining

A computing paradigm where information can be aggregated from multiple services/programs within a 'cloud-based' environment is provided. Thus, the system can provide a uniform interface that can combine computational tasks across the multiple services/programs. Thus, the innovation takes advantage of the computing device being a 'thin client' which affords greater user comfort to a user without sacrificing data processing capabilities. Accordingly, the mechanisms are disclosed that standardize and/or normalize data across the resources within the cloud.

Resource standardization in an off-premise environment

Described is managing the changing of software implementations such as applications deployed to enterprise client users or machines. Precedence relationships between deployed applications are specified. To determine which applications to install for a given client, the precedence is applied to the subset of applications assigned or published to the client. At logon or machine reboot, an upgrade process evaluates the deployed applications and any upgrade relationships, setting applications for removal or installation. A user may also install an application that has been designated as optional. Also described is an application lifecycle model for replacing applications. For example, administrators can phase in upgrades as a pilot to a small group of users, roll out upgrades to a larger group, and then provide the application to all users. Upgrades may be mandatory or optional, and replaced programs may be removed and then replaced, or overlaid during installation.

Method and system for managing lifecycles of deployed applications

Systems and methods that analyze aggregated tagging behavior of users, and evaluate such tagging trends to identify criteria for taxonomy applications. Initially, existence of a possible trend of tagging data based on collective user behavior is determined. Subsequently, tagging trends can be examined to identify that a predetermined convergence criteria has in fact been met, and/or establish such criteria for taxonomy applications. Machine learning systems (implicitly as well as explicitly trained) can be supplied to facilitate determining the trends and the convergence criteria.

Machine learning system for analyzing and establishing tagging trends based on convergence criteria

Growing community of inventors

Bellevue, WA, United States of America

Debi P Mishra