Sap Se

Ashwin Vijayendra

Shiva Prasad Nayak

Makesh Balasubramanian

Pradeep Panda

Indeevar Reddy Aduri

Poornesh Bharathipura Sharma

Ashudeep Reshi

Sudhansu Mohanty

Akhila Rao

Rishul Matta

Nanda Hiregowdar

Sandeep Mekala

Merlyn Neha Kiron

Sai Harish Balantrapu

Raja Sagaya Sureka Salatu Mariyan

Ninad Om Prakash Sapate

Prakash Upadhyay

Ashok Reddy Kalam

Joseph Ashok Kumar

A system includes a memory and a semiconductor-based processor coupled to form logic circuits. The logic circuits generate a voice-enabled user interface (UI) framework for a computer application. The voice-enabled UI framework includes a base controller coupled to a model of the computer application and one or more views that form respective voice-enabled UIs of the computer application. Each view includes a respective speech listener configured to receive speech input. The base controller includes a speech engine, a natural language processor, and a command executor. The voice-enabled UI framework further includes one or more view-specific controller extensions extending the base controller to control the one or more respective views that form the respective voice-enabled UIs of the computer application.

Voice-enabled user interface framework

Various embodiments of systems and methods for generating predictive models are described herein. A computer system deployed in a distributed may receive configuration data from multiple electronic devices. The system may select a set of configuration data with respect to a device category and a subcategory to generate a prediction model. The predictive model includes hypothesis, an average deviation and information pertaining to optimal configuration data for the given subcategory and the device category. The computer system may also receive monitoring requests from electronic devices and retrieve appropriate predictive model with respect to the device category and subcategory. The system may reconfigure the electronic device based on the retrieve predictive model.

Generating predictive models to reconfigure electronic devices

Methods and system are disclosed that improve a user experience to develop a data model. In one aspect, an entity model extensible markup language (EDMX) file is received by an integrated development environment (IDE). The contents of the EDMX file including elements, attributes and attribute values are displayed via a text editor of the IDE. Based on an input received to modify the attributes or the attribute values via the text editor, the graphical model may be instantiated to generate and display the modified attributes or attribute values in an ER editor. Based on an input received to modify the attributes or the attribute values on the ER editor, a text editor model may be instantiated to display the modified attributes or the attribute values in the text editor. The IDE improves the user experience to model and develop data models.

Integrated development environment with multiple editors

The present disclosure describes methods, systems, and computer program products for providing a web-based integrated development environment (IDE) solution hosted on a cloud environment. One computer-implemented method includes receiving an entity data model extensible markup language (XML) (EDMX) model, receiving an indication of user input from a user input device, providing auto completion suggestions based on received user input, determining whether the provided auto completion selections are acceptable, and determining whether the ECMX model is complete and in a logical state.

Adaptive, context-aware, model-based suggestions

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Bengaluru, India

Ashwin Vijayendra