Abstract: The present disclosure discloses methods and systems for digital transformation and integration. The method includes receiving a collection of documents related to operations of an entity. Thereafter, a business process hierarchy based on the collection of documents is generated, using a model and a graph database of accumulated documents. The nodes of the business process hierarchy are divided into different levels of logical groups and includes a plurality of nodes of each level of at least four levels. Further, the business process hierarchy is displayed in a user interface. The user interface allows user to input to modify the business process hierarchy to modify or add at least one node of the business process hierarchy. Furthermore, a plurality of documents is generated, corresponding to different document types for implementing each node of the business process hierarchy, wherein the plurality of documents includes different modalities.

Abstract: A device may receive an input from a user to access an application of a plurality of applications on the device. The device may determine whether authentication information, associated with the user and stored on the device, is valid. The device may attempt to verify biometric information associated with the user based on determining that the authentication information is not valid. The biometric information may be provided as input to the device. The device may validate the authentication information based on being able to verify the biometric information. The device may provide the validated authentication information to the application to grant the user access to the plurality of applications on the device.

Abstract: A computer-implemented method identifies textual statement relationships. Textual statement pairs including a first and second textual statement are identified, and parsed word group pairs are extracted from first and second textual statements. The parsed word groups are compared, and a parsed word score for each statement pair is calculated. Word vectors for the first and second textual statements are created and compared. A word vector score is calculated based on the comparison of the word vectors for the first and second textual statements. A match score is determined for the textual statement pair, with the match score being representative of at least one of the parsed word score and the word vector score.

Abstract: A computer-implemented method identifies textual statement relationships. Textual statement pairs including a first and second textual statement are identified, and parsed word group pairs are extracted from first and second textual statements. The parsed word groups are compared, and a parsed word score for each statement pair is calculated. Word vectors for the first and second textual statements are created and compared. A word vector score is calculated based on the comparison of the word vectors for the first and second textual statements. A match score is determined for the textual statement pair, with the match score being representative of at least one of the parsed word score and the word vector score.