Abstract: The present invention provides linkedchain, control tower and blockchain for one or more enterprise applications. The system includes a linked chain within a control tower configured to connect with blockchain and non-blockchain based entity systems.

Abstract: The present invention provides a data processing system and method for operating one or more enterprise applications developed by a codeless platform. The invention includes a layered platform architecture for supporting and executing data processing in enterprise applications. The data processing system and method provides generation of one or more scenarios by a bot utilizing a domain model structure and at least one application module for execution of one or more operations associated with the one or more scenarios.

Abstract: The present invention provides Artificial Intelligence, Internet of things and blockchain based systems and methods for supply chain management. The system and method identify reasons of failure of procured item/object based on performance data analysis. The system and method further determine optimization characteristics required for a required item/object based on Artificial intelligence analysis using prediction algorithms.

Abstract: The present invention provides a system and method for managing operations in an enterprise application. The invention includes predicting a dataset characteristic such as an incident or outage in the enterprise application based on analysis of the dataset received from distinct data sources. The invention includes data cleansing, feature extraction based on probability data analysis and classification of dataset based on data models trained on historical dataset characteristic data. The invention includes linkedchain based architecture with configurable components structuring the enterprise application.

Abstract: The present invention provides a data processing system and method for demand sensing and forecasting. The invention includes generating hierarchical data set from historical data of one or more objects and processing the hierarchical data based on one or more forecasting data models created by an artificial engine to predict data trend. The invention determines required safety stock for each category of the one or more objects.

Abstract: In some aspects, a device may calibrate a brightness setting of the device for a user based on: displaying, by the device, first calibration content and modifying a luminance of a display while displaying the first calibration screen until a pupil size of the user satisfies a first target pupil size; and displaying, by the device, second calibration content and modifying the luminance of the display while displaying the second calibration screen until the pupil size of the user satisfies a second target pupil size. The device may calculate a metric value based upon pixel values of content to be displayed. The device may display, using a luminance that is adjusted based on the metric and in accordance with the brightness setting, the content. Numerous other aspects are described.

Abstract: The present invention generally relates to system, method and graphical user interface for executing one or more tasks in dynamic data driven enterprise application. The invention includes creation of rules on a rule creation interface by one or more syntax from a rule creation syntax data library. The invention provides machine learning models driven rule engine for executing the tasks.

Abstract: According to an embodiment of the present disclosure, a ceiling fan includes a shaft coupled to a ceiling or a wall surface, a housing cover provided at a central axis thereof with a shaft and receiving a motor assembly and an electronic unit, and a blade coupled to the housing cover. The electronic unit is provided in a multi-stage.

Abstract: The present invention generally relates to system, method and graphical user interface for executing one or more tasks in dynamic data driven enterprise application. The invention includes creation of rules on a rule creation interface by one or more syntax from a rule creation syntax data library. The system of the invention is configured to identify optimum rule to process one or more tasks. The invention provides machine learning models driven rule engine for executing the tasks wherein an AI engine invokes dynamic conditions of the rules to execute the task.

Abstract: In some aspects, a device may calibrate a brightness setting of the device for a user based on: displaying, by the device, first calibration content and modifying a luminance of a display while displaying the first calibration screen until a pupil size of the user satisfies a first target pupil size; and displaying, by the device, second calibration content and modifying the luminance of the display while displaying the second calibration screen until the pupil size of the user satisfies a second target pupil size. The device may calculate a metric value based upon pixel values of content to be displayed. The device may display, using a luminance that is adjusted based on the metric and in accordance with the brightness setting, the content. Numerous other aspects are described.

Abstract: Systems and methods of using sensor data for coordinate prediction are disclosed herein. In some example embodiments, for a place, a computer system accesses corresponding service data comprising pick-up data and drop-off data for requests, and accesses corresponding sensor data indicating at least one path of mobile devices of the requesters of the requests, with the at least one path comprising at least one of a pick-up path ending at the pick-up location indicated by the pick-up data and a drop-off path beginning at the drop-off location indicated by the drop-off data. In some example embodiments, the computer system generates at least one predicted geographic location using the paths indicated by the sensor data, and stores the at least one predicted geographic location in a database in association with an identification of the place.

Abstract: The present invention relates to a data processing system and method for enterprise application chatbot. The invention identifies the intent of a data string or an SCM action executed on the enterprise application using AI engine for predicting the relevant data to be extracted by the chatbot from the database and presenting the same on the chatbot interface for enabling a user to take an informed decision.

Abstract: The present invention provides a system and a method for managing and deploying one or more applications in a multi-cloud environment. The invention structures an application pipeline for multiple cloud environments and creates a library of objects based on processing of one or more application pipeline historical data. The data models generated based on the historical data enable processing of a received data to execute a task of deploying one or more applications. The invention maps blockchain network-based data elements of one or more applications in a multi-cloud environment.

Abstract: The present invention generally relates to system, method and graphical user interface for executing one or more tasks in dynamic data driven enterprise application. The invention includes creation of rules on a rule creation interface by one or more syntax from a rule creation syntax data library. The invention provides machine learning models driven rule engine for executing the tasks.

Abstract: The present invention generally relates to system, method and graphical user interface for executing one or more tasks in dynamic data driven enterprise application. The invention includes creation of rules on a rule creation interface by one or more syntax from a rule creation syntax data library. The system of the invention is configured to identify optimum rule to process one or more tasks. The invention provides machine learning models driven rule engine for executing the tasks wherein an AI engine invokes dynamic conditions of the rules to execute the task.

Abstract: The present invention provides a system and method for restructuring of one or more applications. The invention includes a syntax data library having components enabling creation of one or more logical flow blocks by the AI engine. The logical flow blocks are structured on an extension tool interface to restructure the one or more applications for executing one or more SCM operations.

Abstract: The present invention provides an artificial intelligence-based data processing system and method for enterprise application. The data processing system and method are configured to receive an input data for executing a task at a server, identify and fetch one or more outliers from a data network based on the task to be executed, process the one or more outliers by at least one outlier data model trained on a historical outlier dataset to identify one or more glitches in execution of the task and in response to the recommended action, determine by at least one path identifier data model, at least one path for execution of an action.

Abstract: The present invention provides a system and method for restructuring of one or more applications. The invention includes a syntax data library having components enabling creation of one or more logical flow blocks by the AI engine. The logical flow blocks are structured on an extension tool interface to restructure the one or more applications for executing one or more SCM operations.

Abstract: The present invention provides a platform architecture, a development application framework and a method for codeless development of one or more Supply chain management (SCM) enterprise application. The invention includes a layered platform architecture for supporting and executing development of SCM applications. The platform and method provide interaction of an SCM application user, a citizen developer user and a platform developer user with one or more layers of the platform architecture for codeless development of the SCM applications.

Abstract: The present invention provides a system and a method for managing and deploying one or more applications in a multi-cloud environment. The invention structures an application pipeline for multiple cloud environments and creates a library of objects based on processing of one or more application pipeline historical data. The data models generated based on the historical data enable processing of a received data to execute a task of deploying one or more applications. The invention maps blockchain network-based data elements of one or more applications in a multi-cloud environment.