Abstract: A multi-country data pipeline keeps all of the PII received from a user that is in a first country in the first country. The data pipeline allows the non-personal data received from the user to be transmitted and analyzed in a second country. The method further allows the results of the analysis in the second country to be transmitted back to the first country where the PII is added to the results of the analysis. The data pipeline allows the results of the analysis in the second country to be used to take a desired action for the user in the first country, all while the PII of the user never leaves the first country.

Abstract: A multi-country data pipeline keeps all of the PII received from a user that is in a first country in the first country. The data pipeline allows the non-personal data received from the user to be transmitted and analyzed in a second country. The method further allows the results of the analysis in the second country to be transmitted back to the first country where the PII is added to the results of the analysis. The data pipeline allows the results of the analysis in the second country to be used to take a desired action for the user in the first country, all while the PII of the user never leaves the first country.

Abstract: A multi-country data pipeline keeps all of the PII received from a user that is in a first country in the first country. The data pipeline allows the non-personal data received from the user to be transmitted and analyzed in a second country. The method further allows the results of the analysis in the second country to be transmitted back to the first country where the PII is added to the results of the analysis. The data pipeline allows the results of the analysis in the second country to be used to take a desired action for the user in the first country, all while the PII of the user never leaves the first country.

Abstract: Systems and methods for content provisioning are disclosed herein. The method includes receiving content corresponding to at least one source document, parsing the content, identifying segments from the parsed content, generating a networked grouping of the segments, receiving historical user information about a plurality of users, training a model by using the historical user information, receiving activities of a user, parsing the activities of the user, identifying components from the parsed activities, correlating the components with the segments, extracting features from the activities of the user based on the correlation, and using the trained model to estimate a mastery level of the user based on the features.

Abstract: A multi-country data pipeline keeps all of the PII received from a user that is in a first country in the first country. The data pipeline allows the non-personal data received from the user to be transmitted and analyzed in a second country. The method further allows the results of the analysis in the second country to be transmitted back to the first country where the PII is added to the results of the analysis. The data pipeline allows the results of the analysis in the second country to be used to take a desired action for the user in the first country, all while the PII of the user never leaves the first country.

Abstract: A multi-country data pipeline keeps all of the PII received from a user that is in a first country in the first country. The data pipeline allows the non-personal data received from the user to be transmitted and analyzed in a second country. The method further allows the results of the analysis in the second country to be transmitted back to the first country where the PII is added to the results of the analysis. The data pipeline allows the results of the analysis in the second country to be used to take a desired action for the user in the first country, all while the PII of the user never leaves the first country.

Abstract: Systems and methods for content provisioning are disclosed herein. The method includes receiving content corresponding to at least one source document, parsing the content, identifying segments from the parsed content, generating a networked grouping of the segments, receiving historical user information about a plurality of users, training a model by using the historical user information, receiving activities of a user, parsing the activities of the user, identifying components from the parsed activities, correlating the components with the segments, extracting features from the activities of the user based on the correlation, and using the trained model to estimate a mastery level of the user based on the features.

Abstract: Systems and methods for content provisioning are disclosed herein. The method includes, for each calendar event of a plurality of calendar events for a user, receiving the calendar event, parsing the calendar event, applying a tag to the calendar event based on the parsing of the calendar event, and saving the calendar event and the tag into a temporary table. The method also includes applying a filter to the plurality of calendar events in the temporary table, wherein the filter removes labels from calendar events having a first tag, and saving data from the filtered temporary table into a permanent table.