Periodic Reporting for period 1 - MyGoalMEDAL (META DATA ANALYSIS LAB to Enhance Training Quality)
Okres sprawozdawczy: 2019-12-01 do 2020-05-31
Semantic data will play a key role in future healthcare, individual coaching, personal training, nutrition consulting and many other social assistance services. This is one of the main findings of the project MyGoal MEDAL (meta data analysis lab). The study shows that it is feasible to enhance those businesses through machine learning even without new gadgets or periphery sensors. The outcome encourages us to implement a multinational strategy with highly valuable software services. We’ve identified ways for lower software development costs, rapid time to market, and scalability.
MyGoal Training® is ready to provide scalable solutions for healthcare and social services on a global scale. The company is rolling out a plan for competitive and disruptive software solutions and therefor seeks early stage funding and seed investment.
Our team of sports scientists, developers, and marketing/sales experts with MyGoal Training® tested the feasibility and impact of certain data driven models initially for enhanced endurance training, rehabilitation, and health precaution. Further segments where identified during the study which followed mainly two objectives: market analysis and a technological prove of concept. We needed to find out whether machine learning frameworks (deep learning algorithms) help to make our approach scalable. We not only found out how to setup and implement machine learning in our data driven and human centric applications, but also which market needs, trends, and customer demands the solution will fit.
The main focus of the team was to create new business models that help health-care professionals and social professionals in their time consuming 1:1 service. Since the study took place during the Corona crisis the situation really opened our eyes for a broader view: What we are working on will help Millions of people with their struggles and provide better personal assistance even in a pandemic. One of the most important demands in our society is to help people with their struggles in critical situation with individual support, which we will help to improve in many regions on a global scale.
It is planned to re-launch the company in the near future as a corporation to provide investment opportunities. The team is prepared to apply for EIC accelerator program in October 2020.
MyGoal Training® is ready to provide scalable solutions for healthcare and social services on a global scale. The company is rolling out a plan for competitive and disruptive software solutions and therefor seeks early stage funding and seed investment.
Our team of sports scientists, developers, and marketing/sales experts with MyGoal Training® tested the feasibility and impact of certain data driven models initially for enhanced endurance training, rehabilitation, and health precaution. Further segments where identified during the study which followed mainly two objectives: market analysis and a technological prove of concept. We needed to find out whether machine learning frameworks (deep learning algorithms) help to make our approach scalable. We not only found out how to setup and implement machine learning in our data driven and human centric applications, but also which market needs, trends, and customer demands the solution will fit.
The main focus of the team was to create new business models that help health-care professionals and social professionals in their time consuming 1:1 service. Since the study took place during the Corona crisis the situation really opened our eyes for a broader view: What we are working on will help Millions of people with their struggles and provide better personal assistance even in a pandemic. One of the most important demands in our society is to help people with their struggles in critical situation with individual support, which we will help to improve in many regions on a global scale.
It is planned to re-launch the company in the near future as a corporation to provide investment opportunities. The team is prepared to apply for EIC accelerator program in October 2020.
The study mainly had two perspectives. One was about technological issues regarding deep learning processes. The other was about business implications, market research and planning. We've identified six market segments which are globally relevant and strongly related to political demands in health care.
Important results are summarized
• semantic analysis can be done with deep learning algorithms
• trainers shall always stay in the lead because context and double meanings will be a challenge for a long time
• recent findings in sports science and training methods show, that we’re on the right path, e.g. motivation and personal address
• analysis of competitors, markets, and data analysis helped to identify our segments and positioning
• legal risks were already clear but could be sharpened as an ongoing task to the team
• freedom to operate turned out to be achievable
Important results are summarized
• semantic analysis can be done with deep learning algorithms
• trainers shall always stay in the lead because context and double meanings will be a challenge for a long time
• recent findings in sports science and training methods show, that we’re on the right path, e.g. motivation and personal address
• analysis of competitors, markets, and data analysis helped to identify our segments and positioning
• legal risks were already clear but could be sharpened as an ongoing task to the team
• freedom to operate turned out to be achievable
Business implications of the study led to a detailed plan, that shows good chances for implementation in the already mentioned six segments. Defensively calculated the outlook is about a global acting company with annual revenues of € 70+ Million. It turned out that certain changes to the initial concept had to be made.
Our feasibility study fell together with a global crisis. Corona disturbed us but it also opened our eyes. From the study itself and the impact of the pandemic we figured out that our idea has a much more important meaning. We now see our innovative idea as a solution for any situation where people struggle. The personal assistance of social services, like coaching is one, can be made available to many people with a match making platform that simply asks “How are you?”. The business plan shows how to form a highly valuable and scalable business around it.
Our feasibility study fell together with a global crisis. Corona disturbed us but it also opened our eyes. From the study itself and the impact of the pandemic we figured out that our idea has a much more important meaning. We now see our innovative idea as a solution for any situation where people struggle. The personal assistance of social services, like coaching is one, can be made available to many people with a match making platform that simply asks “How are you?”. The business plan shows how to form a highly valuable and scalable business around it.