System, apparatus, and method to identify intelligence using a data processing platform

A data processing system comprising:

• one or more computer processors and a memory storing instructions that are executed by the one or more processors, to cause the one or more processors to perform operations comprising:
• at a data processing platform:
• receiving, over a network, a plurality of data streams from a plurality of remote data sources;
• normalizing each data point of a plurality of data points of the plurality of data streams by associating said each data point of the plurality of data points with meta data information;
• analyzing the normalized data points and associated meta data information to identify attributes of the normalized data points, and
• applying one or more anomaly detection schemes to identify one or more anomalies and one or more outliers of the normalized data points;
• identifying intelligence information by synthesizing (a) the attributes of the normalized data points and (b) the identified one or more anomalies and one or more outliers of the normalized data points;
• converting the identified intelligence information and insights of synthesized normalized data points into one or more stories;
• extracting features and attributes of user activities occurring at the one or more stories;
• generating a data processing model based on the extracted features and attributes of user activities, wherein the data processing model enhances the applied one or more anomaly detection schemes to improve anomaly and outlier detection in the normalized data points;
• applying the data processing model to one or more processes of a intelligence unit to thereby adjust the one or more processes performed by the intelligence unit, wherein:
• the one or more processes of the intelligence unit includes converting the identified intelligence information and insights of the synthesized normalized data points into the one or more stories, and
• the data processing model enhances the conversion of the identified intelligence information and insights of the synthesized data points into the one or more stories to thereby generate one or more enhanced stories having an improved probability of interest, wherein the probability of interest indicates a probability that a user is interested in a story, wherein ones of the generated one or more enhanced stories having a low probability of interest is compiled into the story having a high probability of interest so that the user has an option to explore the stories having a low probability of interest.

A computer-implemented method of processing data comprising:

• receiving, by a computer over a network, a plurality of data streams from a plurality of remote data sources;
• normalizing, by a computer, each data point of a plurality of data points of the plurality of data streams by associating said each data point of the plurality of data points with meta data information;
• analyzing, by a computer, the normalized data points and associated meta data information to identify attributes of the normalized data points, and
• applying, by a computer, one or more anomaly detection schemes to identify one or more anomalies and/or one or more outliers of the normalized data points;
• identifying, by a computer, intelligence information by synthesizing (a) the attributes of the normalized data points and (b) the identified one or more anomalies and/or one or more outliers of the normalized data points;
• converting the identified intelligence information and insights of synthesized normalized data points into one or more stories;
• extracting, by a computer, features and attributes of user activities occurring at the one or more stories;
• generating, by a computer, a data processing model based on the extracted features and attributes of user activities, wherein the data processing model enhances the applied one or more anomaly detection schemes to improve anomaly and outlier and detection in the normalized data points;
• and
• apply, by a computer, the data processing model to one or more processes of the intelligence unit to thereby adjust the one or more processes performed by an intelligence unit, wherein:
• the one or more processes of the intelligence unit includes converting the identified intelligence information and insights of the synthesized normalized data points into the one or more stories, and
• the data processing model enhances the conversion of the identified intelligence information and insights of the synthesized data points into the one or more stories to thereby generate one or more enhanced stories having an improved probability of interest, wherein the probability of interest indicates a probability that a user will be interested in a story, wherein ones of the generated one or more enhanced stories having a low probability of interest is compiled into the story having a high probability of interest so that the user has an option to explore the stories having a low probability of interest.