Boomi, Inc.

Daniel Schwartz

Michael John Morton

Rohan Jain

Swagata Ashwani

Shailendra Burman

Anil Enum

An information handling system operating a data integration protection assistance system may comprise a processor linking first and second data set field names identified within a previous execution of a data integration process for transferring a data set field value identified by the first data field name at a source geographic location to a destination geographic location for storage under the second data field name. The processor may receive a user instruction to associate data set field names labeled as sensitive private individual data with a barred geographic location, determine the second data set field name is labeled as sensitive private individual data and the destination storage location matches the barred geographic location. A graphical user interface may display a notice that the data set field value was stored during the previously executed integration process within the barred geographic location.

System and method of intelligent detection of data model fieldname lineage with geographical location movement control

A method of translating software queries into natural language may comprise receiving a user instruction to identify a data set through a database query defined by a received user-selected query object and user-selected query value in setting a portion of a currently modeled integration process, and to perform a user-selected action on the data set, and translating a suggested database query associated in memory with the user-selected query object to a natural language translation. The method may also comprise displaying the natural language translation of the suggested database query, receiving a user instruction to include the suggested database query in the currently modeled integration process, and automatically generating and transmitting to a remote location for later execution, code instructions for performing the user-selected action on data sets stored at the remote database meeting the selected, suggested database query.

System and method for translating a software query in an automated integration process into natural language

A substantial learning curve is required to construct integration processes in an integration platform. This can make it difficult for novice users to construct effective integration processes, and for expert users to construct integration processes quickly and efficiently. Accordingly, embodiments for building and operating a model to predict next steps, during construction of an integration process via a graphical user interface, are disclosed. The model may comprise a Markov chain, prediction tree, or an artificial neural network (e.g., graph neural network, recurrent neural network, etc.) or other machine-learning model that predicts a next step based on a current sequence of steps. In addition, the graphical user interface may display the suggested next steps according to a priority (e.g., defined by confidence values associated with each step).

Artificial-intelligence-assisted construction of integration processes

A method of matching integration process users may comprise receiving execution logs recording data associated with selections of integration process visual elements, generating a user/visual element interaction matrix based on counts of integration process visual element selections, inputting the user/visual element interaction matrix into a trained neural network to generate an optimized user preference and visual element embedding matrices, determining a latent feature user preference value adapting positive user feedback to incorporate implicit negative feedback of users for the integration process visual elements based on the optimized user preference and visual element embedding matrices, identifying users associated with latent feature user preference values for one of the integration process visual elements falling within a preset range of each other as matching users, and transmitting identification of the matching users and identification of the one of the plurality of integration process visual elements to at least one matched user.

System and method for matching integration process management system users using deep learning and matrix factorization

An information handling system operating a private individual data integration protection system comprising a processor receiving a query, submitted electronically, involving a request about private individual data and parsing elements the query, the processor correlating the query with private individual data manipulated within a business integration process modeled and deployed with a business integration application management system identifying data set field names via metadata and labels from the modeled business integration process matching private individual data identified in the query as being manipulated from a source input dataset to a destination dataset by operation of the business integration process, and transmitting a responsive report on the private individual data matching the received query indicating manipulation of the matching private individual data during the executed business integration process.

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Marlton, NJ, United States of America

Daniel Schwartz