Abstract: Embodiments herein provide data clustering and user modeling for next-best-action decisions. Specifically, a modeling tool is configured to: receive indicators within unstructured social data from a plurality of users; analyze the unstructured social data of each of the plurality of users to assign a set of feature vectors to each of the plurality of users, each feature vector corresponding to one or more personality characteristics of each of the plurality of users; and analyze the feature vectors to identify two or more users from the plurality of users sharing a set of similar feature vectors. The modeling tool is further configured to: group the two or more users from the plurality of users sharing the set of similar feature vectors to form a cluster; identify attributes of the cluster; and input the attributes of the cluster into a predictive model to determine an offer corresponding to the cluster.

Abstract: Embodiments herein provide data clustering and user modeling for next-best-action decisions. Specifically, a modeling tool is configured to: receive indicators within unstructured social data from a plurality of users; analyze the unstructured social data of each of the plurality of users to assign a set of feature vectors to each of the plurality of users, each feature vector corresponding to one or more personality characteristics of each of the plurality of users; and analyze the feature vectors to identify two or more users from the plurality of users sharing a set of similar feature vectors. The modeling tool is further configured to: group the two or more users from the plurality of users sharing the set of similar feature vectors to form a cluster; identify attributes of the cluster; and input the attributes of the cluster into a predictive model to determine an offer corresponding to the cluster.

Abstract: Embodiments herein provide data clustering and user modeling for next-best-action decisions. Specifically, a modeling tool is configured to: receive indicators within unstructured social data from a plurality of users; analyze the unstructured social data of each of the plurality of users to assign a set of feature vectors to each of the plurality of users, each feature vector corresponding to one or more personality characteristics of each of the plurality of users; and analyze the feature vectors to identify two or more users from the plurality of users sharing a set of similar feature vectors. The modeling tool is further configured to: group the two or more users from the plurality of users sharing the set of similar feature vectors to form a cluster; identify attributes of the cluster; and input the attributes of the cluster into a predictive model to determine an offer corresponding to the cluster.

Abstract: The disclosure is directed to written content generation. A method for generating written content in an application in accordance with an embodiment includes: receiving a query from a user; importing data from at least one data source in response to the query; ranking the imported data based on a plurality of ranking factors to determine a relevance of the imported data; automatically generating written content using at least a portion of the imported data based on the determined relevance of the imported data; and automatically customizing the written content based on a file format of the application.

Abstract: Various embodiments include a system having: at least one computing device configured to monitor a motor vehicle traffic pattern by performing actions including: obtaining telecommunications data from a plurality of mobile devices within a hyper-local area over a hyper-local period; identifying a set of mobile devices within the plurality of mobile devices travelling by motor vehicle from the telecommunications data; determining the motor vehicle traffic pattern based upon the telecommunications data from the set of mobile devices traveling by motor vehicle; comparing the determined motor vehicle traffic pattern with a threshold motor vehicle traffic pattern; and providing instructions for modifying at least one traffic signal device in response to the determined motor vehicle traffic pattern deviating from the threshold motor vehicle traffic pattern.

Abstract: Embodiments herein provide data clustering and user modeling for next-best-action decisions. Specifically, a modeling tool is configured to: receive indicators within unstructured social data from a plurality of users; analyze the unstructured social data of each of the plurality of users to assign a set of feature vectors to each of the plurality of users, each feature vector corresponding to one or more personality characteristics of each of the plurality of users; and analyze the feature vectors to identify two or more users from the plurality of users sharing a set of similar feature vectors. The modeling tool is further configured to: group the two or more users from the plurality of users sharing the set of similar feature vectors to form a cluster; identify attributes of the cluster; and input the attributes of the cluster into a predictive model to determine an offer corresponding to the cluster.

Abstract: Embodiments herein provide data clustering and user modeling for next-best-action decisions. Specifically, a modeling tool is configured to: receive indicators within unstructured social data from a plurality of users; analyze the unstructured social data of each of the plurality of users to assign a set of feature vectors to each of the plurality of users, each feature vector corresponding to one or more personality characteristics of each of the plurality of users; and analyze the feature vectors to identify two or more users from the plurality of users sharing a set of similar feature vectors. The modeling tool is further configured to: group the two or more users from the plurality of users sharing the set of similar feature vectors to form a cluster; identify attributes of the cluster; and input the attributes of the cluster into a predictive model to determine an offer corresponding to the cluster.

Abstract: The disclosure is directed to written content generation. A method for generating written content in an application in accordance with an embodiment includes: receiving a query from a user; importing data from at least one data source in response to the query; ranking the imported data based on a plurality of ranking factors to determine a relevance of the imported data; automatically generating written content using at least a portion of the imported data based on the determined relevance of the imported data; and automatically customizing the written content based on a file format of the application.

Abstract: Various embodiments include a system having: at least one computing device configured to monitor a motor vehicle traffic pattern by performing actions including: obtaining telecommunications data from a plurality of mobile devices within a hyper-local area over a hyper-local period; identifying a set of mobile devices within the plurality of mobile devices travelling by motor vehicle from the telecommunications data; determining the motor vehicle traffic pattern based upon the telecommunications data from the set of mobile devices traveling by motor vehicle; comparing the determined motor vehicle traffic pattern with a threshold motor vehicle traffic pattern; and providing instructions for modifying at least one traffic signal device in response to the determined motor vehicle traffic pattern deviating from the threshold motor vehicle traffic pattern.

Abstract: The disclosure is directed to a human resource (HR) analytics engine. A method in accordance with an embodiment includes: filtering data related to a job candidate from a plurality of internal and external data sources using a plurality of ingestion engines; generating a composite profile for the job candidate using the filtered data output from each of the plurality of ingestion engines; and mapping the composite profile for each job candidate against a personnel matrix to determine if the job candidate is a potential match for a job.

Abstract: Automated business model generation includes identifying constituent attribute text strings of an input offer that are relevant to pre-coded cost and revenue components within a matching threshold, and generating a business plan by linking said relevant pre-coded business plan components. The processor combines cost values assigned to the linked cost components and revenue values assigned the linked revenue components to generate composite cost and revenue values for the generated business plan as a function of probability weighting factors that are selected for the cost and revenue components as a function of entity identity attributes of the input offer.

Abstract: A computer system identifies an individual physically present at a location. With the individual's identity, the computer system retrieves information corresponding to the individual from one or more online sources. Based, at least in part, on the retrieved information, the computer system determines a sales approach specific to the individual. The computer system communicates the sales approach to a computing device capable of displaying the sales approach to a user.

Abstract: Embodiments herein provide geospatial-temporal next-best-action decisions. Specifically, a predictive modeling tool is configured to receive, from a user, a first instance of unstructured data, the unstructured data containing an indicator of a transacting opportunity, and generate a profile for the user by combining the unstructured data with structured data, the profile including personality characteristics and identifying information of the user. The profile is used to identify the user as a producer of a second instance of unstructured data by comparing the personality characteristics and identifying information of the user to the second instance of unstructured data. A commercial offer is then generated based on information from the profile of the user and at least one of the first instance of unstructured data or the second instance of unstructured data, and the offer is communicated to the user when the user is located within a predetermined proximity to a retailer.

Abstract: The detection of illegal activity through interpersonal relationship resolution. A method in accordance with an embodiment includes: assigning a risk assessment score to a person of interest; identifying and mapping at least one first line connection of the person of interest; assigning a risk assessment score to each first line connection; updating the risk assessment score assigned to the person of interest based on the risk assessment score assigned to each first line connection; comparing the risk assessment score of the person of interest to at least one threshold value; and detecting an illegal activity based on the comparing.

Abstract: The detection of illegal activity through interpersonal relationship resolution. A method in accordance with an embodiment includes: assigning a risk assessment score to a person of interest; identifying and mapping at least one first line connection of the person of interest; assigning a risk assessment score to each first line connection; updating the risk assessment score assigned to the person of interest based on the risk assessment score assigned to each first line connection; comparing the risk assessment score of the person of interest to at least one threshold value; and detecting an illegal activity based on the comparing.

Abstract: In a method for tracking purchases by a customer, records of purchases forming transaction records are received, identifying a product, service, or category of product or service purchased, and a date/ time of purchase. Location records of usage of mobile devices by respective users are received, indicating a date and time of each usage and an identifier of the corresponding user. Using the transaction records and the location records, locations of the mobile devices at respective dates and times of their usage are correlated to respective locations of stores that provide products and services being purchased. Based on the dates and times of several transaction records, dates and times of several location records are matched within a predetermined time window for one customer. A determination is made that the one customer purchased one or more of the categories of products or services in the matching transaction records.

Abstract: A system and method are provided for interfacing with event management software. The method includes the operation of sending a text message from a wireless user device to a conversion module. The text message can be converted into an event record using the conversion module. A further operation is creating event entries in the event management software based on the event record obtained for the event management software from the conversion module.