A robotic device management service obtains, from a customer, a first set of parameters of a robotic device and a second set of parameters for a simulation environment for testing a robotic device application installable on the robotic device. The set of parameters are used to indicate a storage location of the application and a selection of a simulation environment for testing the application. In response to the request, the robotic device management service selects a set of resources on which to execute the simulation in the simulation environment. The robotic device management service obtains the robotic device application from the storage location and loads the application on to the set of resources to execute the simulation.

Robotics application development architecture

Examples of an intelligent data quality application are defined. In an example, the system receives a data quality requirement from a user. The system obtains target data from a plurality of data sources. The system implements an artificial intelligence component sort the target data into a data cascade. The data cascade may include a plurality of attributes associated with the data quality requirement. The system may evaluate the data cascade to identify a data pattern model for each of the attributes. The system may implement a first cognitive learning operation to determine a mapping context from the data cascade and a conversion rule from the data pattern model. The system may establish a data harmonization model corresponding to the data quality requirement by performing a second cognitive learning operation. The system may generate a data cleansing result corresponding to the data quality requirement.

Intelligent data quality

The invention discloses an e-government affair information service system based on big data analysis. The e-government affair information service system comprises a data acquisition unit, a data fusion unit, a big data storage unit, an enterprise map unit, an enterprise label construction unit, an enterprise portrait analysis unit, a machine learning engine, a data center and an application unit.Based on the big data analysis technology, the electronic government affair data is mined and analyzed, effective integration and development utilization of information resources are achieved, the jurisdiction economic development situation and jurisdiction enterprises can be integrally known, and therefore the government administrative ability and the public service level can be further improved.

An electronic government affair information service system based on big data analysis

Embodiments provide data handling methods and systems for data lakes. In an embodiment, the method includes accessing a plurality of data elements from a data lake associated with an organization. Each data element is registered with one or more metadata objects through a metadata registration The metadata registration is performed using a graphical user interface by either receiving a manual input from a user or using a REST application programming interface. A unified metadata repository is formed based on the metadata registration of the plurality of data elements. Moreover, complex computations of the plurality of data elements for various data processing operations and business rules are performed. Graphical processing of the plurality of data elements in the data lake is performed for analyzing entities and their relationships to generate insights. The method further includes performing an analytical operation based at least on machine learning algorithms and deep learning techniques.

Yogesh Palrecha

Papers

Data handling methods and system for data lakes