Abstract: In some embodiments, a method includes, defining, using a reinforcement learning model trained to increase a reward specific to an overall strategy of an entity, an engagement plan for a user and providing engagement data from digital artifacts associated with the user as an input to a TF-IDF NLP model to identify a context associated with each term in the engagement data. The method includes assigning a focus area score for each digital artifact based on the context and calculating, for each focus area and based on a level of association of each digital artifact with that focus area, an engagement score for the user and comparing the engagement score for the user to the engagement plan for the user to identify inconsistencies. The method includes defining, based on the inconsistencies, a specific action for the user to reduce the inconsistencies and sending a signal to implement the specific action.

Abstract: Some embodiments relate generally to the processing of compressed multidimensional data and selection of engagement rules based on the compressed multidimensional data. In some embodiments, a method includes retrieving, via a processor, a multidimensional data profile that includes a set of first inclination distributions, each associated with a data dimension. The processor matches a first set of engagement rules to the multidimensional data profile to define a matched set, each engagement rule of the first set of engagement rules having a corresponding confidence level and a corresponding set of second inclination distributions. The processor selects an engagement rule from the matched set that has a corresponding confidence level no less than a corresponding confidence level for each remaining engagement rule from the matched set, and sends a signal causing display of a stimulus to a user according to the selected engagement rule and not according to the remaining engagement rules.

Abstract: A processor-implemented method includes defining, via a processor, a user purpose profile for each user from a plurality of users within an organization having an organizational purpose. The method also includes tracking, automatically via the processor and for each user from the plurality of users, an alignment among: (1) a representation of at least one work-related parameter such as strategy, a goal, or a associated with that user of a computer network of the organization, (2) activity data associated with that user and occurring with the computer network of the organization, and (3) at least one of (i) a representation of the organizational purpose, or (ii) and the user purpose profile associated with that user, to produce tracked data. The method also includes identifying at least one recommended action based on the tracked data.

Abstract: Embodiments described herein relate generally to apparatuses and methods for structuring and processing data. In some embodiments, a method includes receiving stimulus-response data, via a processor, the stimulus-response data including a digital representation of a stimulus and a digital representation of a response. The processor calculates a weight associated with the stimulus-response data, based on a rule, and identifies: (1) a distribution type, based on the digital representation of the stimulus; and (2) a range of inclination values of the distribution type, based on the digital representation of the response. The processor compiles a compressed multidimensional data profile associated with an object of the stimulus-response data and based on the weight, the digital representation of the distribution type, and the digital representation of the range of inclination values.

Abstract: A processor-implemented method of assessing, via a processor, a purpose connectivity for a user within an organization includes sequentially displaying a set of prompts to the user, via an interface, and based on an engagement schema. A second prompt and each subsequent prompt from the set of prompts being based on a response, from a set of responses, received in response to a preceding prompt from the set of prompts. The assessing also includes calculating the purpose connectivity based on the plurality of responses. In response to detecting that a value of the purpose connectivity is below a predefined threshold, a signal is sent to cause a remedial action.

Abstract: Embodiments described herein relate generally to apparatuses and methods for structuring and processing data. In some embodiments, a method includes receiving stimulus-response data, via a processor, the stimulus-response data including a digital representation of a stimulus and a digital representation of a response. The processor calculates a weight associated with the stimulus-response data, based on a rule, and identifies: (1) a distribution type, based on the digital representation of the stimulus; and (2) a range of inclination values of the distribution type, based on the digital representation of the response. The processor compiles a compressed multidimensional data profile associated with an object of the stimulus-response data and based on the weight, the digital representation of the distribution type, and the digital representation of the range of inclination values.

Abstract: A processor determines a priority for a user of a digital calendar system. The processor determines a link between the priority and a calendar entry in the digital calendar system. A change to the digital calendar system associated with the priority is determined. An effect on the priority based upon the change to the digital calendar system is determined. Data is generated describing a display of the effect on the priority for display in a user interface of the digital calendar system.

Abstract: A processor determines a priority for a user of a digital calendar system. The processor determines a link between the priority and a calendar entry in the digital calendar system. A change to the digital calendar system associated with the priority is determined. An effect on the priority based upon the change to the digital calendar system is determined. Data is generated describing a display of the effect on the priority for display in a user interface of the digital calendar system.

Abstract: Some embodiments relate generally to the processing of compressed multidimensional data and selection of engagement rules based on the compressed multidimensional data. In some embodiments, a method includes retrieving, via a processor, a multidimensional data profile that includes a set of first inclination distributions, each associated with a data dimension. The processor matches a first set of engagement rules to the multidimensional data profile to define a matched set, each engagement rule of the first set of engagement rules having a corresponding confidence level and a corresponding set of second inclination distributions. The processor selects an engagement rule from the matched set that has a corresponding confidence level no less than a corresponding confidence level for each remaining engagement rule from the matched set, and sends a signal causing display of a stimulus to a user according to the selected engagement rule and not according to the remaining engagement rules.

Abstract: Some embodiments relate generally to the processing of compressed multidimensional data and selection of engagement rules based on the compressed multidimensional data. In some embodiments, a method includes retrieving, via a processor, a multidimensional data profile that includes a set of first inclination distributions, each associated with a data dimension. The processor matches a first set of engagement rules to the multidimensional data profile to define a matched set, each engagement rule of the first set of engagement rules having a corresponding confidence level and a corresponding set of second inclination distributions. The processor selects an engagement rule from the matched set that has a corresponding confidence level no less than a corresponding confidence level for each remaining engagement rule from the matched set, and sends a signal causing display of a stimulus to a user according to the selected engagement rule and not according to the remaining engagement rules.

Abstract: Knowledge inference apparatus and method to determine emerging industrial trends and adapt strategic reasoning thereof are provided. In some aspects, user data, user stimulus-responses and user tracked data is received at a knowledge inference apparatus from multiple compute devices. The knowledge inference apparatus can generate compressed multidimensional profiles corresponding to multiple users and infer based on the received data, and the compressed multidimensional profiles multiple emerging trends developing in an industry. In some other aspects, the knowledge inference apparatus can further develop individualized strategic information for the multiple users to adequately respond to the inferred emerging trends.

Abstract: Some embodiments relate generally to the processing of compressed multidimensional data and selection of engagement rules based on the compressed multidimensional data. In some embodiments, a method includes retrieving, via a processor, a multidimensional data profile that includes a set of first inclination distributions, each associated with a data dimension. The processor matches a first set of engagement rules to the multidimensional data profile to define a matched set, each engagement rule of the first set of engagement rules having a corresponding confidence level and a corresponding set of second inclination distributions. The processor selects an engagement rule from the matched set that has a corresponding confidence level no less than a corresponding confidence level for each remaining engagement rule from the matched set, and sends a signal causing display of a stimulus to a user according to the selected engagement rule and not according to the remaining engagement rules.

Abstract: A processor determines a priority for a user of a digital calendar system. The processor determines a link between the priority and a calendar entry in the digital calendar system. A change to the digital calendar system associated with the priority is determined. An effect on the priority based upon the change to the digital calendar system is determined. Data is generated describing a display of the effect on the priority for display in a user interface of the digital calendar system.

Abstract: Embodiments described herein relate generally to apparatuses and methods for structuring and processing data. In some embodiments, a method includes receiving stimulus-response data, via a processor, the stimulus-response data including a digital representation of a stimulus and a digital representation of a response. The processor calculates a weight associated with the stimulus-response data, based on a rule, and identifies: (1) a distribution type, based on the digital representation of the stimulus; and (2) a range of inclination values of the distribution type, based on the digital representation of the response. The processor compiles a compressed multidimensional data profile associated with an object of the stimulus-response data and based on the weight, the digital representation of the distribution type, and the digital representation of the range of inclination values.

Abstract: Some embodiments relate generally to the processing of compressed multidimensional data and selection of engagement rules based on the compressed multidimensional data. In some embodiments, a method includes retrieving, via a processor, a multidimensional data profile that includes a set of first inclination distributions, each associated with a data dimension. The processor matches a first set of engagement rules to the multidimensional data profile to define a matched set, each engagement rule of the first set of engagement rules having a corresponding confidence level and a corresponding set of second inclination distributions. The processor selects an engagement rule from the matched set that has a corresponding confidence level no less than a corresponding confidence level for each remaining engagement rule from the matched set, and sends a signal causing display of a stimulus to a user according to the selected engagement rule and not according to the remaining engagement rules.

Abstract: Embodiments described herein relate generally to apparatuses and methods for structuring and processing data. In some embodiments, a method includes receiving stimulus-response data, via a processor, the stimulus-response data including a digital representation of a stimulus and a digital representation of a response. The processor calculates a weight associated with the stimulus-response data, based on a rule, and identifies: (1) a distribution type, based on the digital representation of the stimulus; and (2) a range of inclination values of the distribution type, based on the digital representation of the response. The processor compiles a compressed multidimensional data profile associated with an object of the stimulus-response data and based on the weight, the digital representation of the distribution type, and the digital representation of the range of inclination values.

Abstract: Knowledge inference apparatus and method to determine emerging industrial trends and adapt strategic reasoning thereof are provided. In some aspects, user data, user stimulus-responses and user tracked data is received at a knowledge inference apparatus from multiple compute devices. The knowledge inference apparatus can generate compressed multidimensional profiles corresponding to multiple users and infer based on the received data, and the compressed multidimensional profiles multiple emerging trends developing in an industry. In some other aspects, the knowledge inference apparatus can further develop individualized strategic information for the multiple users to adequately respond to the inferred emerging trends.

Abstract: Some embodiments relate generally to the processing of compressed multidimensional data and selection of engagement rules based on the compressed multidimensional data. In some embodiments, a method includes retrieving, via a processor, a multidimensional data profile that includes a set of first inclination distributions, each associated with a data dimension. The processor matches a first set of engagement rules to the multidimensional data profile to define a matched set, each engagement rule of the first set of engagement rules having a corresponding confidence level and a corresponding set of second inclination distributions. The processor selects an engagement rule from the matched set that has a corresponding confidence level no less than a corresponding confidence level for each remaining engagement rule from the matched set, and sends a signal causing display of a stimulus to a user according to the selected engagement rule and not according to the remaining engagement rules.

Abstract: Embodiments described herein relate generally to apparatuses and methods for structuring and processing data. In some embodiments, a method includes receiving stimulus-response data, via a processor, the stimulus-response data including a digital representation of a stimulus and a digital representation of a response. The processor calculates a weight associated with the stimulus-response data, based on a rule, and identifies: (1) a distribution type, based on the digital representation of the stimulus; and (2) a range of inclination values of the distribution type, based on the digital representation of the response. The processor compiles a compressed multidimensional data profile associated with an object of the stimulus-response data and based on the weight, the digital representation of the distribution type, and the digital representation of the range of inclination values.

Abstract: Systems, methods, and computer program products are disclosed which facilitate collecting information about users, including responses to poll prompts, and analyzing such information in order to determine correlations and inter-relationships of information and information areas. In an aspect, information from many users is collected across a variety of user interaction channels and computing device platforms. Such information is analyzed in order to generate profiles of like-minded individuals. Such profiles may be useful for recommending peer-to-peer connection between individuals, marketing products and services to individuals with similar attributes and traits, and examining changes in individual preferences over time or in response to external factors.