Abstract: Systems and methods include reception, at a first device, of a wireless communication packet from a second device, determination, at the first device, of a received service identifier included in the wireless communication packet, determination, at the first device, of whether the received service identifier matches a first service identifier or a second service identifier, if the received service identifier matches the first service identifier or the second service identifier, establishment, at the first device, of a connection to a server of the second device using a device address included in the wireless communication packet, requesting, using the connection and at the first device, of a user identifier from the server of the second device, if the received service identifier matches the first service identifier, transmission, from the first device to a remote server, of a first indication of proximity of a user of the first device to a user associated with the user identifier and a second indication of pr

Abstract: A method may include collecting data from a variety of data sources associated with a user. The data sources may include personal data sources, corporate data sources, and public data source. The data collected from the variety of data sources may be enriched through categorization and aggregation. For example, browser history may be categorized based on types of website and aggregated to reflect the quantity of interactions with each category of website. A multi-dimensional digital profile may be generated based on the enriched data. For instance, the digital profile may include a social, emotional, spiritual, environmental, occupational, intellectual, and physical dimension. One or more recommendation corresponding to one or more of a burnout prediction, wellness recommendation, learning plan, skill gap, and personality type may be generated based on the digital profile. Related systems and computer program products are also provided.

Abstract: A method, a system, and a computer program product for accessing data. A data stream including a plurality of data elements is received. A mapping of the plurality of data elements is generated. Each data element is represented by a data node in the mapping. A linked list of the data nodes with starting and ending elements is generated. Each node is linked to at least another node and stores a count of a data element and the corresponding data element. The count represents a number of times the data element is present in the data stream. Each node is positioned in the generated linked list using the count of each data element. Data elements with a highest count are positioned proximate to the starting element and data elements with a lowest count are positioned proximate to the ending element. Data elements are accessed using the generated mapping.

Abstract: According to some embodiments, methods and systems may be associated with a cloud computing environment having an integration service (e.g., associated with a Software-as-a-Service or a Platform-as-a-Service). A design micro service may have a User Interface (“UI”) framework and UI components in a domain specific language for an integration developer. A custom flow step development kit may receive, from the integration developer via a browser-based graphical UI, information to build logic for a custom flow step associated with a microservice-based integration service. In some embodiments, a new integration component is embedded into an existing set of components for a tenant, and the new custom flow step is deployed in, and re-usable by, other integration services (e.g., via a marketplace).

Abstract: A method may include training one or more machine learning models to predict a decline in employee performance. The machine learning models may be trained in a federated manner to avoid the exchange of personal data. The trained machine learning models may be applied to data associated with an employee that corresponds to one or more leading indicators of employee burnout. In response to the trained machine learning models predicting a decline in the performance of the employee, the root causes of the predicted decline in the performance of the employee may be identified by applying an explainability algorithm such as Shapley Additive Explanations (SHAP). A report including a corrective action for the predicted decline in employee performance may be generated based on the root causes. Related systems and computer program products are also provided.

Abstract: A method, a system, and a computer program product for accessing data. A data stream including a plurality of data elements is received. A mapping of the plurality of data elements is generated. Each data element is represented by a data node in the mapping. A linked list of the data nodes with starting and ending elements is generated. Each node is linked to at least another node and stores a count of a data element and the corresponding data element. The count represents a number of times the data element is present in the data stream. Each node is positioned in the generated linked list using the count of each data element. Data elements with a highest count are positioned proximate to the starting element and data elements with a lowest count are positioned proximate to the ending element. Data elements are accessed using the generated mapping.

Abstract: A method may include collecting data from a variety of data sources associated with a user. The data sources may include personal data sources, corporate data sources, and public data source. The data collected from the variety of data sources may be enriched through categorization and aggregation. For example, browser history may be categorized based on types of website and aggregated to reflect the quantity of interactions with each category of website. A multi-dimensional digital profile may be generated based on the enriched data. For instance, the digital profile may include a social, emotional, spiritual, environmental, occupational, intellectual, and physical dimension. One or more recommendation corresponding to one or more of a burnout prediction, wellness recommendation, learning plan, skill gap, and personality type may be generated based on the digital profile. Related systems and computer program products are also provided.

Abstract: Systems and methods include reception, at a first device, of a wireless communication packet from a second device, determination, at the first device, of a received service identifier included in the wireless communication packet, determination, at the first device, of whether the received service identifier matches a first service identifier or a second service identifier, if the received service identifier matches the first service identifier or the second service identifier, establishment, at the first device, of a connection to a server of the second device using a device address included in the wireless communication packet, requesting, using the connection and at the first device, of a user identifier from the server of the second device, if the received service identifier matches the first service identifier, transmission, from the first device to a remote server, of a first indication of proximity of a user of the first device to a user associated with the user identifier and a second indication of pr

Abstract: A method, a system, and a computer program product for accessing data. A data stream including a plurality of data elements is received. A mapping of the plurality of data elements is generated. Each data element is represented by a data node in the mapping. A linked list of the data nodes with starting and ending elements is generated. Each node is linked to at least another node and stores a count of a data element and the corresponding data element. The count represents a number of times the data element is present in the data stream. Each node is positioned in the generated linked list using the count of each data element. Data elements with a highest count are positioned proximate to the starting element and data elements with a lowest count are positioned proximate to the ending element. Data elements are accessed using the generated mapping.

Abstract: According to some embodiments, methods and systems may be associated with a cloud computing environment having an integration service (e.g., associated with a Software-as-a-Service or a Platform-as-a-Service). A design micro service may have a User Interface (“UI”) framework and UI components in a domain specific language for an integration developer. A custom flow step development kit may receive, from the integration developer via a browser-based graphical UI, information to build logic for a custom flow step associated with a microservice-based integration service. In some embodiments, a new integration component is embedded into an existing set of components for a tenant, and the new custom flow step is deployed in, and re-usable by, other integration services (e.g., via a marketplace).