Abstract: Provided is a system to allocate resources using an information technology infrastructure. The system receives financial and health data of a participant. The system identifies a healthcare expense prediction model to predict the future healthcare expenses of the participant. The system determines from the prediction model using the multi-dimensional feature vector of the participant, the predicted lifetime healthcare expenses of the participant. The system identifies lifetime non-healthcare expenses of the participant. The system identifies a healthcare tax benefit account to provide funds towards the predicted lifetime healthcare expenses and a non-healthcare tax benefit account to provide funds towards lifetime non-healthcare expenses. The system determines a first amount of funds to allocate to the healthcare tax benefit account and a second amount of funds to allocate to the non-healthcare tax benefit account. The system provides the first and second amount of funds to an interactive user interface.

Abstract: Provided is a system to allocate resources using an information technology infrastructure. The system receives financial and health data of a participant. The system identifies a healthcare expense prediction model to predict the future healthcare expenses of the participant. The system determines from the prediction model using the multi-dimensional feature vector of the participant, the predicted lifetime healthcare expenses of the participant. The system identifies lifetime non-healthcare expenses of the participant. The system identifies a healthcare tax benefit account to provide funds towards the predicted lifetime healthcare expenses and a non-healthcare tax benefit account to provide funds towards lifetime non-healthcare expenses. The system determines a first amount of funds to allocate to the healthcare tax benefit account and a second amount of funds to allocate to the non-healthcare tax benefit account. The system provides the first and second amount of funds to an interactive user interface.

Abstract: Example implementations, include a system for generating a metric-based digital feed performance model, with a data processing system comprising memory and one or more processors to obtain an opportunity object for a participant service identifier generated by an opportunity engine of the data processing system based on a participant object, transmit, to a client computing device, the opportunity object responsive to the opportunity object satisfying an opportunity condition, receive, via an interface of the client computing device, an indication of a selection of the opportunity object, identify, responsive to the indication of the selection, an opportunity execution heuristic, execute, responsive to a determination that the opportunity execution heuristic satisfies an opportunity condition heuristic, the opportunity object, and modify, responsive to the execution of the opportunity object, a performance metric associated with the participant object configured to trigger an alert to improve performance.

Abstract: Provided is a system to allocate resources using an information technology infrastructure. The system receives financial and health data of a participant. The system identifies a healthcare expense prediction model to predict the future healthcare expenses of the participant. The system determines from the prediction model using the multi-dimensional feature vector of the participant, the predicted lifetime healthcare expenses of the participant. The system identifies lifetime non-healthcare expenses of the participant. The system identifies a healthcare tax benefit account to provide funds towards the predicted lifetime healthcare expenses and a non-healthcare tax benefit account to provide funds towards lifetime non-healthcare expenses. The system determines a first amount of funds to allocate to the healthcare tax benefit account and a second amount of funds to allocate to the non-healthcare tax benefit account. The system provides the first and second amount of funds to an interactive user interface.

Abstract: Systems and method of the present disclosure are directed to providing a geographical ticker of financial transactions. A mapping engine on a server receives a first set of transaction data within a first predetermined time window from a database that includes a monetary amount of a transaction and an entity at which each transaction. The mapping engine obtains a location of the entity for each transaction and displays, on a digital map and in a first time sequence corresponding to the first predetermined time window, an icon at each location for each transaction. The mapping engine displays, on the digital map and in one or more time sequences corresponding to one or more predetermined time windows subsequent to the first predetermined time window, an icon at each location for each transaction within one or more sets of transaction data corresponding to the one or more predetermined time windows.

Abstract: Systems and method of the present disclosure are directed to providing a geographical ticker of financial transactions. A mapping engine on a server receives a first set of transaction data within a first predetermined time window from a database that includes a monetary amount of a transaction and an entity at which each transaction. The mapping engine obtains a location of the entity for each transaction and displays, on a digital map and in a first time sequence corresponding to the first predetermined time window, an icon at each location for each transaction. The mapping engine displays, on the digital map and in one or more time sequences corresponding to one or more predetermined time windows subsequent to the first predetermined time window, an icon at each location for each transaction within one or more sets of transaction data corresponding to the one or more predetermined time windows.

Abstract: Provided is a system to allocate resources using an information technology infrastructure. The system receives financial and health data of a participant. The system identifies a healthcare expense prediction model to predict the future healthcare expenses of the participant. The system determines from the prediction model using the multi-dimensional feature vector of the participant, the predicted lifetime healthcare expenses of the participant. The system identifies lifetime non-healthcare expenses of the participant. The system identifies a healthcare tax benefit account to provide funds towards the predicted lifetime healthcare expenses and a non-healthcare tax benefit account to provide funds towards lifetime non-healthcare expenses. The system determines a first amount of funds to allocate to the healthcare tax benefit account and a second amount of funds to allocate to the non-healthcare tax benefit account. The system provides the first and second amount of funds to an interactive user interface.

Abstract: Systems and method of the present disclosure are directed to providing a geographical ticker of financial transactions. A mapping engine on a server receives a first set of transaction data within a first predetermined time window from a database that includes a monetary amount of a transaction and an entity at which each transaction. The mapping engine obtains a location of the entity for each transaction and displays, on a digital map and in a first time sequence corresponding to the first predetermined time window, an icon at each location for each transaction. The mapping engine displays, on the digital map and in one or more time sequences corresponding to one or more predetermined time windows subsequent to the first predetermined time window, an icon at each location for each transaction within one or more sets of transaction data corresponding to the one or more predetermined time windows.