Siemens Aktiengesellschaft

Siemens Schweiz Ag

Prithvi Raj Ramakrishnaraja

Tobias Aigner

Swathi Shyam Sunder

Yogesh Borkhade

Siddharth Mehrotra

Nataliia Rümmele

Vineet Kamboj

Rani Joseph

Yogesh Kamath

A system and method for data management is provided. The method includes obtaining a dataset from a data source by a processing unit. The dataset includes a plurality of datapoints, and each of the datapoints belongs to a column among a plurality of columns. Further, an ontology label for at least one column in the dataset is predicted using a machine learning model. The predicted ontology label is associated with an ontology comprising a plurality of ontology labels. Further, a mapping between the dataset and the ontology is generated based on the relation between the predicted ontology label and the column. Furthermore, the datapoints are classified with respect to the ontology labels based on the mapping generated. The classified datasets are outputted on a user interface.

System and method for data management

A method and system for managing a technical installation are disclosed. An event associated with at least a portion of the technical installation is detected based on sensor data associated with the portion of the technical installation. A representative view of the portion of the technical installation is rendered on at least one wearable device. The representative view displays information associated with the detected event in conjunction with the multi-dimensional view of the portion of the technical installation. A predictive time series analysis of the sensor data associated with the detected event is generated. The predictive time series analysis in conjunction with the representative view of the at least one portion of the technical installation is displayed.

Method and system for managing a technical installation

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Secundrabad, India

Prithvi Raj Ramakrishnaraja