Abstract: Disclosed is a system for translating data, extracted from disparate data sources, into a homogeneous dataset to provide meaningful information. The database schema definition module defines a database schema in order to extract meaningful information pertaining to a specific use-case. The data source determination module determines one or more disparate data sources pertinent to extract the meaningful information. The data extraction module extracts heterogeneous dataset from the one or more disparate data sources. The data extraction module further passes the heterogeneous dataset to a Data-Translate Markup Language (DTML) executer to translate the heterogeneous dataset into a homogeneous dataset. The data translation module translates the heterogeneous dataset into the homogeneous dataset by using at least one data adapter.

Abstract: The present disclosure relates to system(s) and method(s) for generating an alert based on change in traffic pattern. The system receives historic traffic data and current traffic data, associated with each road segment, from a set of road segments. Further, the system identifies a change traffic pattern based on analysing the historic traffic pattern and the current traffic pattern, using data analytics and a machine learning algorithm. Furthermore, the system identifies a sub-set of road segments, from the set of road segments, based on comparison of the change in traffic pattern and a pre-defined threshold. The system further determines root cause of change in traffic pattern by analysing the sub-set of road segments. Further, the system generates an alert for updating one or more road segments, from the sub-set of road segments, based on the root cause of change in traffic pattern.

Abstract: The present subject matter discloses a system and method to enable a machine learning based analytics platform. The method may comprise generating a graphical user interface to enable one or more stakeholders to generate and manage a model for predictive analysis. The method may further comprise enabling a business user to define the business problem, and generate models to perform predictive analysis. The method may further comprise deploying the model, in a distributed environment, over a target platform. The method may further comprise monitoring the model to identify at least one error in the model and re-training the model for performing predictive analysis based on the at least one error, thereby enabling the machine learning based analytics platform.

Abstract: The embodiments herein relate to operational data analysis (ODA) and, more particularly to automate operational data analysis and generate the analysis report for various products using a web-based multi-tenant product intelligence framework. The system allows the user to configure a data collection process, define schema structure, select a data storage for storing the collected data, select or create a data formatting algorithm, and generate a data report to perform the ODA process. Based on the ODA report, appropriate decisions can be taken by an organization.

Abstract: A system and method for providing a unified solution to transmit data from one or more devices/OEMs to one or more storage providers. The system analyzes the metadata of a device, which is sending the request, and identifies an appropriate storage provider for storing the data. Further, the system can convert device specific data format and an API set used for transmitting the data to a storage specific data format and a generic API set. The generic API set can be used to transmit data to one or more storage providers. Additionally, the system supports an extendable interface to initiate a request from the device.

Abstract: The embodiments herein relate to operational data analysis (ODA) and, more particularly to automate operational data analysis and generate the analysis report for various products using a web-based multi-tenant product intelligence framework. The system allows the user to configure a data collection process, define schema structure, select a data storage for storing the collected data, select or create a data formatting algorithm, and generate a data report to perform the ODA process. Based on the ODA report, appropriate decisions can be taken by an organization.

Abstract: A system and method for providing a unified solution to transmit data from one or more devices/OEMs to one or more storage providers. The system analyzes the metadata of a device, which is sending the request, and identifies an appropriate storage provider for storing the data. Further, the system can convert device specific data format and an API set used for transmitting the data to a storage specific data format and a generic API set. The generic API set can be used to transmit data to one or more storage providers. Additionally, the system supports an extendable interface to initiate a request from the device.

Abstract: The present disclosure relates to system(s) and method(s) for guiding a user in software development lifecycle using machine learning. The system is configured to receive real-time contextual information from a user device and user profile data from a profile database. Further, the system is configured to determine a current issue faced by the current user of the user device. In the next step, the system is configured to enforce a historical solution, from the set of historical solutions, associated with the current issue. If the historical solution is not applicable to address the current issue, the system is configured to extract one or more new solutions, from one or more secondary data sources. Finally, the system is configured to suggest the one or more new solutions to the current user, thereby guiding the current user to address the current issue.

Abstract: The present disclosure relates to system(s) and method(s) for generating an alert based on change in traffic pattern. The system receives historic traffic data and current traffic data, associated with each road segment, from a set of road segments. Further, the system identifies a change traffic pattern based on analysing the historic traffic pattern and the current traffic pattern, using data analytics and a machine learning algorithm. Furthermore, the system identifies a sub-set of road segments, from the set of road segments, based on comparison of the change in traffic pattern and a pre-defined threshold. The system further determines root cause of change in traffic pattern by analysing the sub-set of road segments. Further, the system generates an alert for updating one or more road segments, from the sub-set of road segments, based on the root cause of change in traffic pattern.

Abstract: Disclosed is a system for translating data, extracted from disparate data sources, into a homogeneous dataset to provide meaningful information. The database schema definition module defines a database schema in order to extract meaningful information pertaining to a specific use-case. The data source determination module determines one or more disparate data sources pertinent to extract the meaningful information. The data extraction module extracts heterogeneous dataset from the one or more disparate data sources. The data extraction module further passes the heterogeneous dataset to a Data-Translate Markup Language (DTML) executer to translate the heterogeneous dataset into a homogeneous dataset. The data translation module translates the heterogeneous dataset into the homogeneous dataset by using at least one data adapter.

Abstract: Disclosed are systems and methods for optimizing power consumption of devices. The system includes monitoring module, generating module, matching module, determining module, and identifying module. The monitoring module monitors a device including program code which further includes power consuming functions. The generating module generates plurality of power patterns corresponding to the power consuming functions. The matching module matches the plurality of power patterns with pre-stored plurality of power patterns to identify one or more power patterns having maximum peak value. The determining module determines occurrence of the one or more power patterns for predefined time interval. The identifying module identifies a power consuming function corresponding to a power pattern based on the occurrence. The generating module generates recommendation for the power consuming function by suggesting changes in a code section of the power consuming function.

Abstract: The present disclosure relates to system(s) and method(s) for guiding a user in software development lifecycle using machine learning. The system is configured to receive real-time contextual information from a user device and user profile data from a profile database. Further, the system is configured to determine a current issue faced by the current user of the user device. In the next step, the system is configured to enforce a historical solution, from the set of historical solutions, associated with the current issue. If the historical solution is not applicable to address the current issue, the system is configured to extract one or more new solutions, from one or more secondary data sources. Finally, the system is configured to suggest the one or more new solutions to the current user, thereby guiding the current user to address the current issue.

Abstract: The present subject matter discloses system 102 and method to enable machine learning based analytics platform. The method may comprise generating a graphical user interface to enable one or more stake holders to generate and manage a model for predictive analysis. The method may further comprise enabling a business user to define the business problem, and generate models to perform predictive analysis. The method may further comprise deploying the model, in distributed environment, over a target platform. The method may further comprise monitoring the model to identify at least one error in the model and re-training the model for performing predictive analysis based on the at least one error, thereby enable machine learning based analytics platform.

Abstract: Disclosed are systems and methods for optimizing power consumption of devices. The system includes monitoring module, generating module, matching module, determining module, and identifying module. The monitoring module monitors a device including program code which further includes power consuming functions. The generating module generates plurality of power patterns corresponding to the power consuming functions. The matching module matches the plurality of power patterns with pre-stored plurality of power patterns to identify one or more power patterns having maximum peak value. The determining module determines occurrence of the one or more power patterns for predefined time interval. The identifying module identifies a power consuming function corresponding to a power pattern based on the occurrence. The generating module generates recommendation for the power consuming function by suggesting changes in a code section of the power consuming function.

Abstract: A system and method to monitor and control the valves in industrial process control and automation using Near-Field Communication (NFC) is disclosed. The system comprises a NFC-Equipment Interface Unit (NFC-EIU) to acquire parameters from the valves through a port and send the parameters to any handheld device by NFC for analysis. The NFC-EIU on receiving the analysis results from the handheld device can control the valves too.

Abstract: A system and method to monitor and control the valves in industrial process control and automation using Near-Field Communication (NFC) is disclosed. The system comprises a NFC-Equipment Interface Unit (NFC-EIU) to acquire parameters from the valves through a port and send the parameters to any handheld device by NFC for analysis. The NFC-EIU on receiving the analysis results from the handheld device can control the valves too.

Abstract: A system and method for patching offline virtual machine (VM) without mounting virtual hard disks is disclosed. The system directly updates the virtual hard disks attached to a virtual machine by reading, writing or updating the raw bytes of virtual hard disk files. The system applies patch to offline VM that supports multiple vendors virtual disk formats, multiple VM guest OS and multiple file system format by updating the raw sectors of the virtual disk.