Reflection – Learning Launch 

 Challenge and Selection 

 Two months ago , I decided to become an entrepreneur . Some partners and I   started a project which became a technology start - up . We studied Mechatronics   Engineering and love advanced technology , therefore , we decided to provide   artificial intelligence solutions as the main services / products in the company . 

 This sounded great , however , the real world requires a problem to be solved and   people who are willing to buy whatever we sell . Then , we decided to do some   research and found how other countries used tools based on this technology in   order to solve a large amount of problems , from medical diagnosis to advanced   targeted advertising . 

 What we are aiming is to have a service oriented to applied data science and   another one for devices and machines that can help many kinds of industries to   perform really specialized tasks . Nevertheless , despite of the boom that data   science and artificial intelligence has in developed nations , in my , people do n’t   seem to like applying that kind of technology , maybe because they are not aware   of it and think they do not need it in their business . 

 In order to identify if our ideas would succeed and if people have the needs that   we are assuming , we decided to do a small learning launch , not providing the   real service but trying to sell the idea and our services to some companies . This   tool would help us in order to test our hypothesis and fail fast if needed . 

 Application and Insight 

 We made an appointment with a medium size manufacturing company that sells   rubber products , asking for their time and help in order to know more about their   problems and needs . We went to the factory and received a complete tour ,   including a detailed explanation of their processes and main problems . After the   tour , we presented our ideas to some executives , including the chief officer . Later ,   they told us some feedback that allowed us to find all the insights that we needed . 

 What we found from the point of view of the company ’s needs was that there are   many problems related to handmade tasks which required a lot of precision and   are the bottleneck of some of the processes . This kind of trouble can be attacked   using devices with artificial intelligence embedded . By the other hand , they are   not digitalized at all and there is plenty of data that can be collected and used   for data analysis , so that they are able to have a better control and predict many   useful variables in order to increase productivity . 

 What we noticed with the executives was some rejection when we talked about   technology , they were interested in increasing the efficiency and knew that data   is really important , but they think that artificial intelligence and data science   ca n’t solve their problems and it sounds more like science fiction . 

 All this knowledge made us confirm that there is some rejection to A.I. Sadly , we   realized that this repulsion can be bigger than we thought , even though   administrative people are aware of what is important in order to increase   productivity . However , we discovered that there are many areas of opportunity   where our solutions can be applied . 

 Approach 

 This learning launch helped me to understand more about the market and its   needs , it also saved time and provided me the insights needed to adapt my ideas .   Next time I will use a Journey mapping to understand more about the specific   problems that we saw last time . 


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: Reflection – Learning Launch 

 Challenge and Selection 

 Two months ago , I decided to become an entrepreneur . Some partners and I   started a project which became a technology start - up . We studied Mechatronics   Engineering and love advanced technology , therefore , we decided to provide   artificial intelligence solutions as the main services / products in the company . 

 This sounded great , however , the real world requires a problem to be solved and   people who are willing to buy whatever we sell . Then , we decided to do some   research and found how other countries used tools based on this technology in   order to solve a large amount of problems , from medical diagnosis to advanced   targeted advertising . 

 What we are aiming is to have a service oriented to applied data science and   another one for devices and machines that can help many kinds of industries to   perform really specialized tasks . Nevertheless , despite of the boom that data   science and artificial intelligence has in developed nations , in my , people do n’t   seem to like applying that kind of technology , maybe because they are not aware   of it and think they do not need it in their business . 

 In order to identify if our ideas would succeed and if people have the needs that   we are assuming , we decided to do a small learning launch , not providing the   real service but trying to sell the idea and our services to some companies . This   tool would help us in order to test our hypothesis and fail fast if needed . 

 Application and Insight 

 We made an appointment with a medium size manufacturing company that sells   rubber products , asking for their time and help in order to know more about their   problems and needs . We went to the factory and received a complete tour ,   including a detailed explanation of their processes and main problems . After the   tour , we presented our ideas to some executives , including the chief officer . Later ,   they told us some feedback that allowed us to find all the insights that we needed . 

 What we found from the point of view of the company ’s needs was that there are   many problems related to handmade tasks which required a lot of precision and   are the bottleneck of some of the processes . This kind of trouble can be attacked   using devices with artificial intelligence embedded . By the other hand , they are   not digitalized at all and there is plenty of data that can be collected and used   for data analysis , so that they are able to have a better control and predict many   useful variables in order to increase productivity . 

 What we noticed with the executives was some rejection when we talked about   technology , they were interested in increasing the efficiency and knew that data   is really important , but they think that artificial intelligence and data science   ca n’t solve their problems and it sounds more like science fiction . 

 All this knowledge made us confirm that there is some rejection to A.I. Sadly , we   realized that this repulsion can be bigger than we thought , even though   administrative people are aware of what is important in order to increase   productivity . However , we discovered that there are many areas of opportunity   where our solutions can be applied . 

 Approach 

 This learning launch helped me to understand more about the market and its   needs , it also saved time and provided me the insights needed to adapt my ideas .   Next time I will use a Journey mapping to understand more about the specific   problems that we saw last time .
### Output: 