Abstract: A computer-implemented method for generating interactive actionable electronic mails, is disclosed.

Abstract: Embodiments of the present disclosure include techniques for decentralizing feature toggles. In certain embodiments, feature toggles are generated for features across a plurality of software systems. The feature toggles include annotations specifying dependencies across the plurality of software systems. The annotated feature toggles are stored in a central repository accessible by the plurality of software systems. When a feature toggle is enabled, feature toggles across the systems may be retrieved from the repository and analyzed by an LLM to determine which feature toggles may need to be updated to prevent a software error.

Abstract: In some implementations, there is a method In some embodiments, there may be provided a method that includes extracting a system landscape from a target system being converted from using synchronous application program interface calls among a plurality of entities and a database instance to using an asynchronous event messaging among the plurality of entities and the database instance; determining, based on the extracted system landscape, clusters indicative of call patterns among the plurality of entities and the database instance; and providing, using the clusters, at least one proposal to convert the system to the asynchronous event messaging among the plurality of entities and the database instance. Related systems, methods, and articles of manufacture are also disclosed.

Abstract: Aspects of the subject disclosure may include, for example, obtaining first user-generated input, the first user-generated input indicates a request for generating an (API, identifying a first group of entities from the request, and determining whether there is a match between the first group of entities and a second group of entities stored in an API database according to API metadata. Further embodiments include identifying an API from the API database resulting in an identified API, presenting the identified API to the user, obtaining second user-generated input, and adjusting the request according to the second user-generated. Additional embodiments can include identifying a third group of entities from the adjusted request, and determining whether there is a match between the third group of entities and a fourth group of entities stored in the API database according to the API metadata. Other embodiments are disclosed.

Abstract: Various embodiments of the present disclosure provide contextually aware debiasing techniques for debiasing a document. Some embodiments generate one or more document segments that each comprise a sequence of terms from a syntactic debiased document, identify one or more candidate semantic bias terms from a document segment of the one or more document segments based on a semantic bias corpus in response to the identification of the one or more candidate semantic bias terms, generate, using a classification model, a bias classification for the document segment, and in response to a positive bias classification, provide, using a semantic debiasing model, one or more replacement tokens for the one or more candidate semantic bias terms.

Abstract: A machine learning (Ml)-based computing method for forecasting financial transactions is disclosed. The ML-based computing method includes receiving inputs from users; generating cash flow data including historical cash flow data and real-time cash flow data, based on the inputs received from the users; determining a growth factor in a week and month level based on the historical cash flow data and the forecast period; determining average cash flow data in a week and month level based on the historical cash flow data, the forecast period, a lookback period received from the users, and the growth factor; generating forecast cash flow data in at least one of a week, month, quarter, and year level for the forecast period using a ML model; and providing an output of the forecast cash flow data to the one or more users on a user interface associated with one or more electronic devices.

Abstract: Systems and methods include acquisition of an asynchronous message from a message producer, the asynchronous message associated with a message consumer, determination that the asynchronous message matches a stored message, identification, in response to determining that the asynchronous message matches a stored message, of a stored error message associated with the stored message, and return of a return message based on the stored error message to the message producer.

Abstract: Automatic evaluation of recorded interactions is disclosed, including: detecting a plurality of signals in an interaction; combining at least a subset of the plurality of signals using a prescribed set of operators into a combined signal; and determining whether an event criterion has been met with respect to the interaction based at least in part on the combined signal.

Abstract: This disclosure provides methods, apparatuses, and computer-readable mediums for managing network devices in a telecommunication network using dynamically modifiable graph data schema. The method may be executed by one or more processors and may include creating an entity model specification file; validating a syntax of the entity model specification file based on parsing the entity model specification file; based on the syntax being valid, validating the entity model specification file, wherein validating the entity model specification file comprises converting the entity model specification file into a graph data schema; and initiating the graph data schema associated with the entity model specification file, wherein the initiating comprises changing the graph data schema to a ready state.

Abstract: Embodiment herein provides a method for classifier based constraint management. The method comprises creating a constraint graph database comprising a plurality of constraint classes associated with a plurality of Application program interfaces (APIs); receiving a request to perform at least one operation associated with at least one entity; determining at least one constraint class from the plurality of constraint classes based on the information about the at least one entity to perform the at least one operation; invoking the at least one API from the plurality of APIs based on the at least one constraint class to access the plurality of constraints associated with the at least one constraint class; and performing the at least one operation associated with the at least one entity based on the plurality of constraints associated with the at least one constraint class and the information about the at least one entity.

Abstract: Transaction records are obtained and respective volumes of the transaction records during a plurality of intervals are determined based on timestamps. A spread of a distribution of the respective volume is determined. Whether the respective volumes exceeds a predetermined volume threshold is determined. Then, an integration flow is selected from among a plurality of integration flows based on the respective volumes, the spread, and whether respective volumes exceeds the predetermined volume threshold. Services and application programming interfaces corresponding to the selected integration flow are configured. Then data is replicated from the database system to a cloud platform using the configured services and application programming interfaces. A portal application is provided to present the data on the cloud platform.

Abstract: Embodiment herein provides a method for managing uniqueness constraints associated with entities in a graph database. The method includes receiving a constraint specification of an entity from a constraint management system and receiving a configure operation for maintaining uniqueness requirement in the constraint management system. The method also includes determining a constraint key based on inputs received for maintaining the uniqueness requirement in the constraint management system; and creating a composite unique constraint based on the constraint key. The composite unique constraint comprises properties of the constraint key and a constraint vertex indicating a class of constraints available in the inputs received for maintaining uniqueness requirement. The method also includes storing the composite unique constraint in the constraint specification received from the constraint management system to validate the uniqueness before performing an operation on the entity.

Abstract: Embodiment herein provides a method for managing relationship constraints associated with entities in a graph database. The method includes receiving, by a relationship constraint management server, a request to perform operation associated with entity and generating, by the relationship constraint management server, an entity configuration file based on the received information of the entity. The request comprises information of entity and, the entity configuration file includes a relationship constraint from a plurality of relationship constraints to be applied while performing the operation. The method includes retrieving, by the relationship constraint management server, metadata corresponding to relationship constraints from a constraint database based on the entity configuration file, and performing, by the relationship constraint management server, the operation associated with the entity based on the metadata corresponding to the relationship constraints and the information of the entity.

Abstract: Transaction records are obtained and respective volumes of the transaction records during a plurality of intervals are determined based on timestamps. A spread of a distribution of the respective volume is determined. Whether the respective volumes exceeds a predetermined volume threshold is determined. Then, an integration flow is selected from among a plurality of integration flows based on the respective volumes, the spread, and whether respective volumes exceeds the predetermined volume threshold. Services and application programming interfaces corresponding to the selected integration flow are configured. Then data is replicated from the database system to a cloud platform using the configured services and application programming interfaces. A portal application is provided to present the data on the cloud platform.

Abstract: Embodiment herein provides a method for classifier based constraint management. The method comprises creating a constraint graph database comprising a plurality of constraint classes associated with a plurality of Application program interfaces (APIs); receiving a request to perform at least one operation associated with at least one entity; determining at least one constraint class from the plurality of constraint classes based on the information about the at least one entity to perform the at least one operation; invoking the at least one API from the plurality of APIs based on the at least one constraint class to access the plurality of constraints associated with the at least one constraint class; and performing the at least one operation associated with the at least one entity based on the plurality of constraints associated with the at least one constraint class and the information about the at least one entity.

Abstract: Embodiment herein provides a method for managing uniqueness constraints associated with entities in a graph database. The method includes receiving a constraint specification of an entity from a constraint management system and receiving a configure operation for maintaining uniqueness requirement in the constraint management system. The method also includes determining a constraint key based on inputs received for maintaining the uniqueness requirement in the constraint management system; and creating a composite unique constraint based on the constraint key. The composite unique constraint comprises properties of the constraint key and a constraint vertex indicating a class of constraints available in the inputs received for maintaining uniqueness requirement. The method also includes storing the composite unique constraint in the constraint specification received from the constraint management system to validate the uniqueness before performing an operation on the entity.

Abstract: This disclosure provides methods, apparatuses, and computer-readable mediums for managing network devices in a telecommunication network using a graph data schema may be provided. the method may include retrieving, from a database, an entity model specification associated with a network device being deployed; determining whether a base model associated with the entity model specification is supported; adding one or more vertex node labels in the graph data schema based on the name, the type of network device, and the version in the entity model specification; adding one or more characteristic nodes in the graph data schema based on one or more characteristics; adding one or more edges in the graph data schema on the one or more relationships in the entity model specification; and based on no error being generated, activating the graph data schema to manage the network device being deployed in the telecommunication network.

Abstract: This disclosure provides methods, apparatuses, and computer-readable mediums for managing network devices in a telecommunication network using dynamically modifiable graph data schema. The method may be executed by one or more processors and may include creating an entity model specification file; validating a syntax of the entity model specification file based on parsing the entity model specification file; based on the syntax being valid, validating the entity model specification file, wherein validating the entity model specification file comprises converting the entity model specification file into a graph data schema; and initiating the graph data schema associated with the entity model specification file, wherein the initiating comprises changing the graph data schema to a ready state.

Abstract: A system and method for rendering AI-based haptic feedback and recommendations in a VR environment is provided. The system detects an active VR session on a VR device that renders immersive content associated with a VR environment that includes a digital avatar and a virtual object. The system acquires the immersive content based on the detection and determines physical attributes of the virtual object, scene information associated with the VR environment, and an activity of the digital avatar based on a first network-based analysis, a second network-based analysis, a third neural network-based analysis, respectively, of the content. The system further detects an interaction between the digital avatar and the virtual object in a duration of the activity, and generates a feedback signal based on the interaction, the scene information, and the physical attributes. The system further controls a haptic device based on the feedback signal to generate a haptic feedback.

Abstract: An electronic device and method for chronic pulmonary disease prediction from audio input based on short-winded breath determination using artificial intelligence is disclosed. The electronic device receives an audio input associated with a user. The electronic device applies an Artificial Intelligence (AI) model to detect a short-winded breath duration that corresponds to a time duration between an end of a first spoken word and a start of a second spoken word succeeding the first spoken word. The electronic device detects a speaking pattern. The electronic device applies a Recurrent neural network (RNN) model to reconstruct a set of short-winded breath audio samples. The electronic device generates an audio sample dataset and a set of audio features. The electronic device applies a modular neural network model on the generated audio sample dataset and on the generated set of audio features to determine a set of chronic obstructive pulmonary disease (COPD) metrics.