Challenge     As part of my challenge as a digital product manager at a publisher focused on health science professionals ,   we did propose to launch a new e - learning product roasted in artificial intelligence .   The purpose of this platform is to prepare final - year medical students for their residency exams . This poses a   challenge from the point of view of the product , content , definition of the methodology to be applied to the   learning process and , from now on , discovering and understanding the habits of last year medical students .     Selection   Together with the team of medical and educational directors , we selected in order to align both the need to   discover our potential users , as well as having a prototype to launch at an initial stage , the journey mapping   and learning launch tools     Application   Because we had many hypotheses regarding our target audience , we decided to test them and define   insights based on the field information we obtained by visiting hospitals and learning about the habits of   final - year medical students . After multiple interviews in various cities of the country , we learned about their   habits and , among other factors , the level of dedication when preparing for the entrance exams to the   medical residency .   This allowed us to work on the product itself , and on the value proposition that would later be   communicated at the commercial and marketing level . In turn , it allowed us to have the bases on which to   develop the product that would be launched on the market , being that based on its evolution and   continuous interaction with new users , continuous improvements have been made , thus achieving a highly   advanced , superior environment to the competition and with very good results in the performance of the   students .     Insight   Having understood that of the universe of final - year students , the largest population does not resort to   private methods or academic support for the preparation of medical exams , we initially focused on the   conclusion of an adaptive teaching environment based on artificial intelligence for the public that seeks an   excellent preparation in pursuit of gaining entry to the best vacancies in hospitals . This segment highly   values the daily activity guide and performance monitoring provided by a platform based on artificial   intelligence . The technology supported by quality content and a highly recognized academic body allowed us   to gain a rapid positioning in the market .      In parallel , a more economical proposal began to be developed with variations in the product , with the aim   of attracting a greater percentage of users within the segment that initially did not plan to train in a study   academy to take the exams . The focus on this business changes radically , as profitability becomes associated   with a purely volume business 

 Approach 

 The results six months after the launch have been very good , with rapid recognition from the students ;   which is highly representative as it is competing with companies that have been in business for at least 20   years .   The proposal of a digital environment has been extremely revolutionary , and has allowed us to achieve a   national reach versus the competition . We still work on the basis of special adaptations for certain regions of   the country in which there are particular conditions in the exams , being that they are extremely interesting   for the business given the volume of potential users . We precisely recognize that we have lacked a greater   level of confrontation of the platform with the realities of the different regions . 


EMAIL: 
ID_NUM: 
NAME_STUDENT: 
PHONE_NUM: 
STREET_ADDRESS: 
URL_PERSONAL: 
USERNAME: 

### Task: You are a PII (Personal Identity Information) Detection. Given a essays written by students, you have to identify ONLY the following:
NAME_STUDENT - The full or partial name of a student that is not necessarily the author of the essay. This excludes instructors, authors, and other person names.
EMAIL - A student’s email address.
USERNAME - A student's username on any platform.
ID_NUM - A number or sequence of characters that could be used to identify a student, such as a student ID or a social security number.
PHONE_NUM - A phone number associated with a student.
URL_PERSONAL - A URL that might be used to identify a student.
STREET_ADDRESS - A full or partial street address that is associated with the student, such as their home address.
### Input: Challenge     As part of my challenge as a digital product manager at a publisher focused on health science professionals ,   we did propose to launch a new e - learning product roasted in artificial intelligence .   The purpose of this platform is to prepare final - year medical students for their residency exams . This poses a   challenge from the point of view of the product , content , definition of the methodology to be applied to the   learning process and , from now on , discovering and understanding the habits of last year medical students .     Selection   Together with the team of medical and educational directors , we selected in order to align both the need to   discover our potential users , as well as having a prototype to launch at an initial stage , the journey mapping   and learning launch tools     Application   Because we had many hypotheses regarding our target audience , we decided to test them and define   insights based on the field information we obtained by visiting hospitals and learning about the habits of   final - year medical students . After multiple interviews in various cities of the country , we learned about their   habits and , among other factors , the level of dedication when preparing for the entrance exams to the   medical residency .   This allowed us to work on the product itself , and on the value proposition that would later be   communicated at the commercial and marketing level . In turn , it allowed us to have the bases on which to   develop the product that would be launched on the market , being that based on its evolution and   continuous interaction with new users , continuous improvements have been made , thus achieving a highly   advanced , superior environment to the competition and with very good results in the performance of the   students .     Insight   Having understood that of the universe of final - year students , the largest population does not resort to   private methods or academic support for the preparation of medical exams , we initially focused on the   conclusion of an adaptive teaching environment based on artificial intelligence for the public that seeks an   excellent preparation in pursuit of gaining entry to the best vacancies in hospitals . This segment highly   values the daily activity guide and performance monitoring provided by a platform based on artificial   intelligence . The technology supported by quality content and a highly recognized academic body allowed us   to gain a rapid positioning in the market .      In parallel , a more economical proposal began to be developed with variations in the product , with the aim   of attracting a greater percentage of users within the segment that initially did not plan to train in a study   academy to take the exams . The focus on this business changes radically , as profitability becomes associated   with a purely volume business 

 Approach 

 The results six months after the launch have been very good , with rapid recognition from the students ;   which is highly representative as it is competing with companies that have been in business for at least 20   years .   The proposal of a digital environment has been extremely revolutionary , and has allowed us to achieve a   national reach versus the competition . We still work on the basis of special adaptations for certain regions of   the country in which there are particular conditions in the exams , being that they are extremely interesting   for the business given the volume of potential users . We precisely recognize that we have lacked a greater   level of confrontation of the platform with the realities of the different regions .
### Output: 