Challenge 

 I am head of department , which creates and supports Online and Offline fraud prevention systems ,   and we cooperate very closely with fraud - management depart in process of implementation new   antifraud rules and change old . So , we had a challenge how efficiently organize estimation quality   and number criteria of rule even before it would be in production , because huge number of alerts on   one hand - could strongly hit bank`s products usage experience and our limited resources of   employees(who check alerts ) , and on other hand - because too low quantity or quality of alerts we   could face high fraud risks . 

 Selection 

 We need a fast , a simple and a cheap approach to test the quality of our rules . And a way of small   cheap experiments we considered as the best one . So , we choose the Learning launch tool to   incorporate it our process . 

 Application 

 I decided to divide experiments about the creation of new rules into two stages : 

 ⦁   Stage one – Test rule algorithm on real data by analytic with help our program tools . 

 We organized sand box with proper production data with all parameter that we needed , I made   lessons for stakeholders from the fraud management department to learn our tools . 

 ⦁   Stage two – Test period of new rule in production for some part of input data . 

 It allowed as get real efficiency without any damage to our budget . 

 Insight 

 By applying Learning launch tool to the rule change management process , we get very cheap and   agile process . Also , stakeholders from fraud - management department improved their internal   collaboration , because it is really easy to share rule algorithms with our tools than explain a long rule   by words in details . Now they can very easy test any their hypothesis or assumptions to quickly react   for some new fraud schemas . 

 Approach 

 Our team has already gone through several design thinking activities / tools and during this we face   that we used some approaches even not knowing that they concerned with Design Thinking . 

 Because the learning launch is very cost - effective tool - it is the appropriate tool for us . We every   day review the insight gained from such small cheap launches and every new fraud case , that we   have for that moment , and incorporate this insight into future launch designs of new rules . 


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 

 I am head of department , which creates and supports Online and Offline fraud prevention systems ,   and we cooperate very closely with fraud - management depart in process of implementation new   antifraud rules and change old . So , we had a challenge how efficiently organize estimation quality   and number criteria of rule even before it would be in production , because huge number of alerts on   one hand - could strongly hit bank`s products usage experience and our limited resources of   employees(who check alerts ) , and on other hand - because too low quantity or quality of alerts we   could face high fraud risks . 

 Selection 

 We need a fast , a simple and a cheap approach to test the quality of our rules . And a way of small   cheap experiments we considered as the best one . So , we choose the Learning launch tool to   incorporate it our process . 

 Application 

 I decided to divide experiments about the creation of new rules into two stages : 

 ⦁   Stage one – Test rule algorithm on real data by analytic with help our program tools . 

 We organized sand box with proper production data with all parameter that we needed , I made   lessons for stakeholders from the fraud management department to learn our tools . 

 ⦁   Stage two – Test period of new rule in production for some part of input data . 

 It allowed as get real efficiency without any damage to our budget . 

 Insight 

 By applying Learning launch tool to the rule change management process , we get very cheap and   agile process . Also , stakeholders from fraud - management department improved their internal   collaboration , because it is really easy to share rule algorithms with our tools than explain a long rule   by words in details . Now they can very easy test any their hypothesis or assumptions to quickly react   for some new fraud schemas . 

 Approach 

 Our team has already gone through several design thinking activities / tools and during this we face   that we used some approaches even not knowing that they concerned with Design Thinking . 

 Because the learning launch is very cost - effective tool - it is the appropriate tool for us . We every   day review the insight gained from such small cheap launches and every new fraud case , that we   have for that moment , and incorporate this insight into future launch designs of new rules .
### Output: 