Microstrategy, Inc.

Jose Nocedal

Siamak Ziraknejad

Dongping Liang

Chris McNabney

Raul De Leon

Jiande Yu

Feng Ding

Ellen Wang

Christophe Touret

Charlie Temkin

Hunter Edward Harris

Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for dynamic document annotations. In some implementations, a keyword is identified in a first view of a document, the first view being provided on a user interface. An annotation for the keyword is provided for display at a first location with the first view provided on the user interface. An adjustment to the first view is detected that causes a second view of the document on the user interface, where a position of the keyword in the second view is different from a position of the keyword in the first view. In response to detecting the adjustment to the first view, the annotation is hidden from the user interface, and, after hiding the annotation, the annotation for the keyword is provided for display at a second location with the second view of the document.

Dynamic document annotations

Method, systems, and apparatus, including computer-readable media, for an interactive interface for analytics. In some implementations, the data is accessed identifying an information card configured to present data objects of a data set. User input data is received indicating user input to enable voice response interaction for the information card or the data set. A voice response application is generated based on the information card, the voice response application being configured to provide responses to voice queries using values for data objects. The voice response application is deployed to enable one or more users to use the voice response application to initiate voice interactions involving the data objects.

Interactive interface for analytics

Techniques for searching using metadata indexing. In some implementations, a computing device receives data indicating a search request from a client device. The computing device analyzes the received data indicating the search request to determine content of the search request. The computing device receives one or more dossiers based on the content of the search query. The computing device identifies metadata and one or more index templates corresponding to each of the one or more retrieved dossiers. The computing device determines one or more matches between the data indicating the search query to the metadata and the one or more index templates corresponding to each of the one or more retrieved dossiers. The computing device generates search results that include the one or more matches based on characteristics of a type of match and weight values applied to each of the one or more matches based on the characteristics of the type of the match. The computing device provides data indicating the search results to the client device.

Metadata indexing

Techniques for natural language visualizations using query formatting. In some implementations, a computing device receives data indicating a natural language query from a client device that indicates a topic of interest to a user. The computing device parses the data indicating the natural language query from the client device using a predefined delimiter. The computing device identifies one or more objects that represent each term parsed from the data indicating the natural language query. The computing device determines a visualization type based on the one or more objects to visualize a response to the natural language query provided by the mobile device. The computing device visualization data based on the visualization type, the one or more objects that represent each term parsed from the data, to a rendering component to transmit to the client device for display in response to the natural language query.

Natural language visualizations

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Leesburg, VA, United States of America

Jose Nocedal