Sap Se

Business Objects Software Limited

Sap Ag

Shiva Prasad Nayak

Suresh Pasumarthi

Ashwin Vijayendra

Pradeep Panda

Ganesh Vaitheeswaran

Arindam Bhattacharjee

Makesh Balasubramanian

Poornesh Bharathipura Sharma

Sudhansu Mohanty

Ashudeep Reshi

Indeevar Reddy Aduri

Ralf-Juergen Hauck

Srinivas Rao

Archana Shridhar

Suparna Deb

Sabarish T S

Sridhar Jayaraman

Sripad Jade

Joseph Ashok Kumar

Sai Harish Balantrapu

Akhila Rao

Nanda Hiregowdar

Ekantheshwara Basappa

Andrey Hoursanov

Pravesh Katyal

Rishul Matta

Anahita Minuchaher Havewala

Om Band

Certain aspects of the disclosure concern a computer-implemented method for improved data security in large language models. The method includes receiving a prompt query entered through a user interface, extracting a plurality of named entities from the prompt query and classifying the plurality of named entities into respective entity classes, tagging the plurality of named entities to be security compliant or security noncompliant based on the respective entity classes, and responsive to finding that one or more named entities are tagged to be security noncompliant, generating an alert on the user interface.

Data security in large language models

Systems and methods include extraction of a plurality of clauses from each of a plurality of electronic documents, determination, for each of the plurality of clauses and using a machine-learned algorithm, an associated clause type, identification of one or more data privacy protection entities present within each of one or more of the plurality of clauses, determination, for each of the one or more of the plurality of clauses, of a weighted frequency for each of the one or more data privacy protection entities present within the clause based on a type of the data privacy protection entity, determination of a weighted frequency associated with each of the plurality of electronic documents based on the determined weighted frequency for each of the one or more data privacy protection entities present within clauses of the plurality of electronic documents, and storage of an identifier of each of the plurality of electronic documents in association with a respective determined weighted frequency.

Smart document migration and entity detection

A method and system for providing an OData service based on a service operation execution flow is described. Initially a data source metadata is converted to an entity data model. Based on the entity data model, the service operation execution flow is generated that displays a process for executing a service operation. Next, one or more runtime configuration data are received to edit the generated service operation execution flow. The edited service operation execution flow defines a communication between a data source and a client requesting execution of the service operation. Finally, based on the edited service operation execution flow and the entity data model the Odata service is published to process a client request for executing the service operation.

Providing Odata service based on service operation execution flow

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

Insights gleaned from statistical analysis of a dataset of an in-memory database, may be obtained with high throughput. In response to a user query, a Data Inference Engine (DIE) provides statistically valid measure/dimension combinations of the dataset to an analysis tool. A master procedure may be executed at search query runtime, allowing timely filtering of output of the analysis tool based on columns provided in the user request. Inputs/outputs of the master procedure may avoid storing physical tables, reducing maintenance. The master procedure may comprise individual sub-procedures (e.g. determining outliers, percentage contribution) executed in parallel. Output of sub-procedure(s) may be formatted per a final output format, facilitating union therebetween. Embodiments may filter certain measure/dimension combinations received from the DIE. For example, embodiments may consider only unique measure/dimension combinations (irrespective of dimension order), a limited number of combinations (e.g. &#x2266;20), and/or combinations having a limited number of dimensions (e.g. &#x2266;3).

Insight generation from statistical measure/dimension combinations

Various embodiments of systems and methods for synchronizing a primary repository and a secondary repository in a business infrastructure are disclosed. Content of artifacts present in the primary repository and the secondary repository are indexed. Based upon a search criteria received on the secondary repository, an integrated search service provided on the secondary repository is invoked to perform a combinatorial query on the indexed content and retrieve an identifier of each artifact corresponding to the search criteria. Based upon relevancy parameters, the retrieved identifiers are ranked and rendered as a categorized table including a first column and a second column for identifiers present in the primary repository and the second repository respectively. Based upon a user action received on the ranked identifiers in the first column of the categorized table, the associated artifacts are determined and downloaded from the primary repository to the secondary repository.

Synchronizing primary and secondary repositories

An adaptive automatic change management for computer system landscapes is described herein. A predefined set of attributes are extracted or obtained for a computer system artifact, together with a number of values assigned to the set of attributes. A unique identification section is created and distributed among the computer systems in the landscape based on the set of attributes and the assigned values, where the unique identification section encompass computer system artifacts of a same kind. A modification of an artifact of the same kind is tracked at a computer system. The tracked modification is automatically applied in the computer system to one or more incoming computer system artifacts of the same kind.

Adaptive change management in computer system landscapes

Growing community of inventors

Bengaluru, India

Shiva Prasad Nayak