Microsoft Technology Licensing, LLC

Ivo José Garcia Dos Santos

Olivier Nano

Tihomir Tsvetkov Tarnavski

Xuedong D Huang

Arul A Menezes

Tanvi Surti

Eldar Akchurin

William Duncan Lewis

Ramkumar Krishnan

Sebastien Peray

Marcel Tilly

Christian Wendt

Panos Periorellis

Lev Novik

Jonathan David Goldstein

Badrish Chandramouli

Laurent Bussard

Systems and methods may be used to provide transcription and translation services. A method may include initializing a plurality of user devices with respective language output selections in a translation group by receiving a shared identifier from the plurality of user devices and transcribing the audio stream to transcribed text. The method may include translating the transcribed text to one or more of the respective language output selections when an original language of the transcribed text differs from the one or more of the respective language output selections. The method may include sending, a user device in the translation group, the transcribed text including translated text in a language corresponding to the respective language output selection for the user device. In an example, the method may include customizing the transcription or the translation, such as to a particular topic, location, user, or the like.

Customized transcribed conversations

Customized multi-device translated conversations

Methods, systems, and computer-readable media for analyzing a query are disclosed. A particular method includes receiving data representing an event flow associated with execution of a query that includes a plurality of operators. A graph is generated that includes a plurality of nodes that corresponds to operators of the query, and edges of the graph that correspond to streams between operators of the query. The method includes receiving an input identifying a particular node of the graph, where the particular node corresponds to a particular operator of the query. In response to the input, an output associated with at least one event processed by the particular operator is displayed.

Visual analysis and debugging of event flows

Customized multi-device translated and transcribed conversations

Methods of managing distributed analytics on device groups are described. In an embodiment, a management service within a distributed analytics system provides an interface to allow a user to define a group of devices based on a property of the devices. When the property of a device in the system satisfies the criterion specified by the user, the device is added to the group and the device may subsequently be removed from the group if the device no longer satisfies the criterion. Once a group has been defined, the management service enables users to specify management operations, such as creating, starting, stopping or deleting queries or management operations relating to other entities of end devices, which are to be implemented on all the devices in the group and the management service propagates the operation to all devices in the group, irrespective of their current connectivity status.

Managing distributed analytics on device groups

A method is described of pre-processing real-time data to be processed by one or more real-time analytics services. The method includes: receiving, at a stateless ingress node, data from one or more client devices; transforming the data in real-time at the stateless ingress node; determining in real-time, at the stateless ingress node, a real-time analytics service for the transformed data; and forwarding in real-time the transformed data to the determined real-time analytics service for stateful processing.

Scalable data enrichment for cloud streaming analytics

A complex event processor is described which has a communications interface configured to retrieve event data by pulling it from one or more sources and to receive at least one live event stream pushed to the interface. An event processing pipeline connected to the communications interface comprises a plurality of operator nodes connected between the communications interface and a combiner node which is a node configured to combine event data from the source and from the live event stream. The communications interface is configured to retrieve events from the source and to push the events retrieved from the source along the event processing pipeline towards the combiner node. The communications interface is configured to retrieve and push the retrieved events only in response to request messages passed in an upstream direction from the combiner node to the communications interface along the pipeline.

Complex event processor for historic/live/replayed data

Methods, systems, and computer-readable media to generate a user interface (UI) to analyze a complex event processing (CEP) query are disclosed. A particular method includes receiving data representing an event flow associated with execution of a CEP query. The CEP query includes a plurality of operators. A UI including a graph is generated. The graph includes a plurality of nodes. Each node of the graph corresponds to an operator of the CEP query, and each edge of the graph corresponds to a stream between operators of the CEP query. The method includes receiving an input identifying a particular node of the graph, where the particular node corresponds to a particular operator of the CEP query. In response to the input, an operator-specific output associated with at least one event processed by the particular operator is displayed.

Visual analysis and debugging of complex event flows

Methods, systems, and computer-readable media to analyze a CEP query are disclosed. A particular analysis module is configured to receive data associated with an event flow generated by execution of a CEP query. The data is received from a first analysis module (e.g., in a stack of analysis modules) or from the event flow via a software communication interface. The analysis module is also configured to execute an analysis operation on the data to generate a result. The analysis module can output the result to a second analysis module (e.g., in the stack of analysis modules) or to a user interface via the software communication interface.

Growing community of inventors

Aachen, Germany

Ivo José Garcia Dos Santos