Progress Software Corporation

Datarpm Corporation

Ruban Phukan

Shyamantak Gautam

Vishal Katkar

Sundeep Sanghavi

Ashutosh Mani

Santosh Kumar

A system and method are disclosed for bottom-up modeling and prediction of asset anomalies. In one embodiment, the system receives first sensor data from a first sensor, the first sensor associated with a first asset; smooths the first sensor data; determines a first stage within sensor data, the sensor data including the first sensor data; determines a first set of anomalies within the first stage; generates a first asset state space associated with the first asset; trains a base model describing a first group of one or more assets, the first group of one or more assets including the first asset; and trains, using the base model, a final model particular to the first asset.

Scalable and bottom-up approach to automated anomaly detection

The methods and systems for providing real-time business intelligence using national language queries facilitate a user to search within a data warehouse using a natural language question. Such business intelligence platform may receive a natural language based question, extract one or more key words from the natural language based question, determine a first dependency graph of the one or more key words based on a relationship among the one or more key words, determine a second dependency graph of the one or more key words based on previously stored search indices, merge the first and the second dependency graphs to generate an integrated dependency graph, and generate a formatted search string based on the integrated dependency graph.

Methods and system for providing real-time business intelligence using natural language queries

The methods and systems for providing real-time business intelligence using natural language queries facilitate a user to search within a data warehouse using a natural language question. Such business intelligence platform may receive a natural language based question, extract one or more key words from the natural language based question, determine a first dependency graph of the one or more key words based on a relationship among the one or more key words, determine a second dependency graph of the one or more key words based on previously stored search indices, merge the first and the second dependency graphs to generate an integrated dependency graph, and generate a formatted search string based on the integrated dependency graph.

The methods and systems for providing real-time business intelligence using search-based analytics engine facilitate a user to input a natural language query with regard to business analytics and obtain an analytics report in response without the user aggregating or processing raw data from a database query. Such business intelligence platform may receive a data analytics request including a user-desired data variable via a user interface; receive, via the user interface, user-configured parameters identifying a user-selected data source and a user-defined data set; form the user-defined data set based on user-configured parameters; query the user-defined data set to obtain a query result of the user-desired data variable; and generate a user interactive graphical representation of the query result of user-desired data variable.

Growing community of inventors

Bengaluru, India

Ruban Phukan