A method for capturing user workflows can include tracking user queries for a plurality of users, correlating the user queries between two or more users of the plurality of users, determining that the user queries of the two or more users of the plurality of users are correlated, and classifying the user queries of the at least two users as a workflow neighbor. The workflow neighbor defines a set of time series data or features.

The journeys and/or timelines of multiple customers may be used in escalation management and/or journey mining. An event of interest, pertaining to an issue or an incident, on a timeline may be used in the escalation management and/or journey mining. Escalation management is directed to addressing and resolving incidents, problems, and customer situations which could result in a high level of customer dissatisfaction or damage to a service provider's reputation, using the appropriate response and/or resources. Journey mining is directed to using patterns across customers and their journeys to determine where things in the journey went differently than what was expected.

A method can be used to predict risk using machine learning models having efficient feature learning. A risk prediction model can be applied to time-series data associated with a target entity to generate a risk indicator. The risk prediction model can include a feature learning model for generating features from the time-series data. The risk prediction model can also include a risk classification model for generating the risk indicator. The feature learning model can include filters and can be trained. Parameters of the risk prediction model can be adjusted to minimize a loss function associated with risk indicators. An updated risk prediction model can be generated by removing a filter from an original set of filters based on influencing scores of the original filters. The risk indicator can be transmitted to a computing device for use in controlling access of the target entity to a computing environment.

A computer-implemented method, comprises providing, by a platform server configured to hold security assets on behalf of a plurality of user accounts, a plurality of user accounts hosted by the platform server, each of the plurality of user accounts holding shares of a common equity with associated shareholder voting rights. The platform server receives a request to send proxy voting rights, wherein the proxy voting rights indicate a desire of the first user to transfer a shareholder voting instruction to a second user. The platform server determines based on transaction history of one or more user accounts of the plurality of user accounts, one or more recommended proxy users for transferring the proxy voting rights. The platform server transmits to the application executing on the device associated with the first user, a request to select one of the recommended proxy users. Upon receiving a selected proxy user from the first user, the platform server provides the shareholder voting instruction to enable proxy voting by the selected proxy user on behalf of the first user.

A computer-implemented method, comprises providing, by a platform server configured to hold security assets on behalf of a plurality of user accounts, a plurality of user accounts hosted by the platform server, each of the plurality of user accounts holding shares of a common equity with associated shareholder voting rights. The platform server receives a request to send proxy voting rights, wherein the proxy voting rights indicate a desire of the first user to transfer a shareholder voting instruction to a second user. The platform server determines based on transaction history of one or more user accounts of the plurality of user accounts, one or more recommended proxy users for transferring the proxy voting rights. The platform server transmits to the application executing on the device associated with the first user, a request to select one of the recommended proxy users. Upon receiving a selected proxy user from the first user, the platform server provides the shareholder voting instruction to enable proxy voting by the selected proxy user on behalf of the first user.

An engineering support system that supports engineering of a process control system, the engineering support system includes: a server device that creates a work list including work order information that specifies a work order of work included in the process control system; and at least one client device that gives work authority to each worker based on the work list issued by the server device and that enables work on devices included in the process control system within a scope of given work authority to be implemented in the work order.

An engineering support system that supports engineering of a process control system, the engineering support system includes: a server device that creates a work list including work order information that specifies a work order of work included in the process control system; and at least one client device that gives work authority to each worker based on the work list issued by the server device and that enables work on devices included in the process control system within a scope of given work authority to be implemented in the work order.

Disclosed herein are techniques and tools for verifying data for semantic correctness and/or verifying data for network correctness. In one respect, a method includes receiving an input defining at least two master nodes and at least one master link, each master node having at least one or more respective data properties populated with master node data and the master link having at least one or more master link data, the master nodes and master link defining a master semantic network, importing source data into a second semantic network, comparing the source data to the master node data and making a first determination that the source data reflects a data relationship defined by the master node data, and based on the first determination, populating the source data into the second semantic network, wherein the source data populated within the second semantic network reflects the data relationship defined by the master node data and the master link data.

Disclosed herein are techniques and tools for verifying data for semantic correctness and/or verifying data for network correctness. In one respect, a method includes receiving an input defining at least two master nodes and at least one master link, each master node having at least one or more respective data properties populated with master node data and the master link having at least one or more master link data, the master nodes and master link defining a master semantic network, importing source data into a second semantic network, comparing the source data to the master node data and making a first determination that the source data reflects a data relationship defined by the master node data, and based on the first determination, populating the source data into the second semantic network, wherein the source data populated within the second semantic network reflects the data relationship defined by the master node data and the master link data.

Methods, computer-readable media and systems are disclosed for building, deploying, operating, and maintaining an intelligent dynamic form in which a trained machine learning (ML) model is embedded. A universe of questions is associated with a plurality of output classifiers, which could represent eligibilities for respective benefits. The questions are partitioned into blocks. Each block can be associated with one or more of the classifiers, and each classifier can have a dependency on one or more blocks. An ML model is trained to make inferences from varied combinations of responses to questions and pre-existing data, and determine probabilities or predictions of values of the output classifiers. Based on outputs of the trained model, blocks of questions can be selectively rendered. The trained model is packaged with the question blocks and other components suitably for offline deployment. Uploading collected responses and maintenance of the dynamic form are also disclosed.