Abstract: The disclosed method for implementing a digital assistant in a multi-application network includes: receiving an input command from a computing device; analyzing the input command; determining based on the analysis of the input command, a digital request data object associated with the input command; resolving the input command into a data string; determining, based on the digital request data object and the data string, intent data; and generating based on the intent data, a first set of operation recommendations comprising a first operation recommendation. The methods also include determining an application programming interface (API) associated with the first application; connecting the API to the first application; and executing the first operation recommendation to generate a computing operation result; and rendering the computing operation on a single graphical interface comprising a consolidation of a plurality of graphical interfaces associated with the first set of computing operation recommendations.

Abstract: This disclosure relates to methods for registering a command in a multi-application network. The methods include: determining a computing operation for the multi-application network; receiving a command associated with the computing operation for a digital request data object; encapsulating, in a registration object: first semantic or syntactic data associated with the first command, a digital path to a first application for executing the first computing operation, and context data associated with the first command; and storing, in a database, the first registration object. In addition, the methods include: receiving a first input; analyzing the first input to determine second semantic or syntactic data; determining the first command associated with the first computing operation; accessing the first registration object based on the determined first command; and accessing, based on the digital path of the first registration object, a first application for the first computing operation.

Abstract: Disclosed are methods and apparatuses for generating or updating dynamic context data associated with a digital request data object in a multi-application network. receiving, a first input associated with the digital request data object; determining based on the first input, the digital request data object from the one or more databases associated with the multi-application network; determining profile data indicating one or more of: user data associated with first input, and trajectory data associated with one or more computing operations executed on the digital request data object; extracting metadata associated with the digital request data object; receiving a second input associated with the digital request data object; generating, based on the metadata, the profile data, and the second input, dynamic context data for the digital request data object; and storing the dynamic context data in the one or more databases associated with the multi-application network.

Abstract: The disclosed methods include: determining context data for a digital request data object based on a received first input; executing, based on the context data and the first input: a first and a second computing operation; generating a first digital record indicating: summary data for the first and second computing operations, and first state data associated with transitioning the digital request data object from a first data state to a second data state; updating context data based on the first digital record; executing, based on the updated context data and/or a received second input: a third and a fourth computing operation; generating a second digital record indicating: summary data for the third and the fourth computing operations, and second state data associated with transitioning the digital request data object from: the second data state to a third data state, and from the third data state to a fourth data state.

Abstract: This disclosure is directed to an intelligent cascading linkage machine for transforming input signals into comparable signals, and cascading through matching operations, including but not limited to a fuzzy matching comparison technique, to link transformed input signals (comparable signals) to those stored signals in a database which match it. The fuzzy matching technique may use a random forest processing technique and/or a logistic regression technique. Also, the machine is able to calibrate its matching technique, based on the linking of a comparable or input signal to a stored signal in a database, in order to calculate an accuracy indicator.

Abstract: Described herein are apparatuses, methods, and computer readable media for asynchronous sensing and/or validating of data using a first sensor and a second sensor for a purpose of transforming input data into validated output data when at least one attribute of external data or the input data, as determined by a sensor, is missing. The external data is associated with the input data and is used for determining a set of attributes for the first sensor. The asynchronous sensing and/or validating of the input data enables faster transforming of the input data into the validated output data.

Abstract: This disclosure is directed to an intelligent transducer for transforming a first event signal received from an input signal system into a second event signal transmitted to an output signal system by using a first event signal-specific transformation signal received from one or more disparate application signal systems and sensing an attribute of the first event signal-specific transformation signal.

Abstract: This disclosure is directed to an intelligent cascading linkage machine for transforming input signals into comparable signals, and cascading through matching operations, including but not limited to a fuzzy matching comparison technique, to link transformed input signals (comparable signals) to those stored signals in a database which match it. The fuzzy matching technique may use a random forest processing technique and/or a logistic regression technique. Also, the machine is able to calibrate its matching technique, based on the linking of a comparable or input signal to a stored signal in a database, in order to calculate an accuracy indicator.

Abstract: This disclosure is directed to an intelligent transducer for transforming a first event signal received from an input signal system into a second event signal transmitted to an output signal system by using a first event signal-specific transformation signal received from one or more disparate application signal systems and sensing an attribute of the first event signal-specific transformation signal.

Abstract: Described herein are apparatuses, methods, and computer readable media for asynchronous sensing and/or validating of data using a first sensor and a second sensor for a purpose of transforming input data into validated output data when at least one attribute of external data or the input data, as determined by a sensor, is missing. The external data is associated with the input data and is used for determining a set of attributes for the first sensor. The asynchronous sensing and/or validating of the input data enables faster transforming of the input data into the validated output data.