Abstract: A system for autonomous workflow management and execution is disclosed. The system includes a workflow builder module to create a workflow based on directed acyclic graphs, conversational submodules and a defined process. The system includes a data stream module to enable the workflow from the workflow builder module to achieve objectives based on a workflow specification, constraints and security considerations. The system includes a stream processor module including a data ingestion and processing submodule to fetch data from the data stream module and process the data based on operations to define and evaluate rules, heuristics and models with the workflow. The system includes a learning module to continuously recompute potential objectives and outcomes based on analysis of the optimized data. The processing subsystem includes a workflow orchestrator module to make decisions for automation of the workflow execution by triangulating data from a user, the data sources and the desired outcomes.

Abstract: A semantic textual information recognition system is provided. The system includes a memory configured to receive a plurality of text elements along with respective text element coordinates. The system includes a processor operatively coupled to the memory, wherein the processor includes a spatial reconstruction module configured to identify the plurality of text elements on an information axis based on the text element coordinates. The processor also includes a semantic clustering module configured to determine a plurality of semantic clusters of the plurality of text elements by calculating a proximity matrix using the plurality of text elements on the same information axis and a semantic data model. The processor further includes a rank clustering module configured to generate a plurality of rank clusters by ranking the plurality of semantic clusters. The processor further includes a machine learning module configured to update the semantic data model based on the feature set.

Abstract: A system and method for generating a virtual assistant is disclosed. The system for generating a virtual assistant includes a configuration subsystem configured to receive one or more parameters from a document. The configuration subsystem is also configured to serialize the one or more parameters automatically extracted from the document and generate a structured object based on the one or more serialized parameters. The configuration unit is further configured to embed all validation criteria specified in the document. The system for generating a virtual assistant also includes a virtual assistant generator operatively coupled with the configuration subsystem and configured to analyze the structured object. The virtual assistant generator is also configured to automatically generate a virtual assistant based on an analyzed structured object.