Challenge 

 I´m working on Commercial Development of a well suited ICT company , specialized on Satellite   Communications and Geo Information activities . More recently , we open a wide spam of ICT   projects to enhance and improve revenues in corporate clients . With barely no R&D investment   and conservative internal management to perform new and ambitious project to evolve , me and   my team considerer relevant to invest a few amount of resources to explore IoT ( Internet of   Things ) platform applied to retail customers , that can save money on current branches expenses   ( energy , maintenance , raw material ) . Our challenge is justifying that the ROI ( return over the   investment ) will be positive due the reduction of opex . With limited budget and time , we will   concentrate on clients ’ needs and seize own and third parties capabilities to select which model   of IoT platform services we need to perform 

 Selection 

 Me and my team gone through some of the most usual design thinking tools and we are ready   to try the learning launch tool . Basically , we decide that learning launch is an experiment meant   to quickly test a project as an idea and prototype the best possible IoT service and platform . 

 Application 

 For this learning launch , we decide to understand clients need through a small survey on few   average branches .   This could get us more structure and affordable information of what ’s is the   energy expense and estimate the savings . We detail the quantity of devices and the complexity   of the installation , to have a quick estimation of investment to be done .   We adapt the methods   of Scrum project management for our analysis ( e.g. , energy saving calculations , investment to   be done , client reports , training etc . )   through specific virtual workshops between engineering ,   marketing and sales , in an effort to become more agile . Our key stakeholder the CEO also   participate on the virtual meetings , made it in two weeks . 

 Then we went to one of friend client and explain the survey to be done and figure out how value   we can add and money they can save . Also explain why we need their participation to complete   the survey with real data . 

 With main client data collected during next 4 weeks , we are in grade to select IoT platform   solution for them . In a two - week additional timeframe , we also add some specific survey from   other retail customer and adjust our business model to fit better our services offering . 

 Insight 

 With the application of the learning launch tool , we identified our assumptions and designed   launches to test these assumptions . We expect that customer information plus our own   expertise and new ideas will be applicable on most of retail customers with many distributed   branches across country . Also we can convince our key stakeholder the CEO to invest on a new   IoT platform , train our engineers in the use of the new tool and perform trials on key clients to   demonstrate the new service capability . Moving forward , we will review this insight and   incorporate it into future launch designs for another type of IoT service offering . The ongoing 

 incorporation of insight is particularly important at this stage , as launches come before a full   rollout in the design thinking timeline . 

 Approach 

 Our team successfully achieves customer needs to select this new IoT services , based on a Cloud   IoT model , using several design thinking tools in timeline , confirming that learning launch is the   appropriate tool . In the near future , we can review and update the insight gained from our first   launch trials and incorporate this insight into future launch designs . The new launch designs will   reflect insight learned , clients progress made , internal knowledge and third parties new in order   to made a stable solution of IoT suite of services ready for future rollout applications . 


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´m working on Commercial Development of a well suited ICT company , specialized on Satellite   Communications and Geo Information activities . More recently , we open a wide spam of ICT   projects to enhance and improve revenues in corporate clients . With barely no R&D investment   and conservative internal management to perform new and ambitious project to evolve , me and   my team considerer relevant to invest a few amount of resources to explore IoT ( Internet of   Things ) platform applied to retail customers , that can save money on current branches expenses   ( energy , maintenance , raw material ) . Our challenge is justifying that the ROI ( return over the   investment ) will be positive due the reduction of opex . With limited budget and time , we will   concentrate on clients ’ needs and seize own and third parties capabilities to select which model   of IoT platform services we need to perform 

 Selection 

 Me and my team gone through some of the most usual design thinking tools and we are ready   to try the learning launch tool . Basically , we decide that learning launch is an experiment meant   to quickly test a project as an idea and prototype the best possible IoT service and platform . 

 Application 

 For this learning launch , we decide to understand clients need through a small survey on few   average branches .   This could get us more structure and affordable information of what ’s is the   energy expense and estimate the savings . We detail the quantity of devices and the complexity   of the installation , to have a quick estimation of investment to be done .   We adapt the methods   of Scrum project management for our analysis ( e.g. , energy saving calculations , investment to   be done , client reports , training etc . )   through specific virtual workshops between engineering ,   marketing and sales , in an effort to become more agile . Our key stakeholder the CEO also   participate on the virtual meetings , made it in two weeks . 

 Then we went to one of friend client and explain the survey to be done and figure out how value   we can add and money they can save . Also explain why we need their participation to complete   the survey with real data . 

 With main client data collected during next 4 weeks , we are in grade to select IoT platform   solution for them . In a two - week additional timeframe , we also add some specific survey from   other retail customer and adjust our business model to fit better our services offering . 

 Insight 

 With the application of the learning launch tool , we identified our assumptions and designed   launches to test these assumptions . We expect that customer information plus our own   expertise and new ideas will be applicable on most of retail customers with many distributed   branches across country . Also we can convince our key stakeholder the CEO to invest on a new   IoT platform , train our engineers in the use of the new tool and perform trials on key clients to   demonstrate the new service capability . Moving forward , we will review this insight and   incorporate it into future launch designs for another type of IoT service offering . The ongoing 

 incorporation of insight is particularly important at this stage , as launches come before a full   rollout in the design thinking timeline . 

 Approach 

 Our team successfully achieves customer needs to select this new IoT services , based on a Cloud   IoT model , using several design thinking tools in timeline , confirming that learning launch is the   appropriate tool . In the near future , we can review and update the insight gained from our first   launch trials and incorporate this insight into future launch designs . The new launch designs will   reflect insight learned , clients progress made , internal knowledge and third parties new in order   to made a stable solution of IoT suite of services ready for future rollout applications .
### Output: 