2020-06-04

Company 09. A Platform for Medical Services (updated on 2021.7.17)


1. Build a Platform for Medical Services

As the above picture, build a platform between users and related medical services. User usually starts to searching a medical services when there is a need. Different hospitals and clinics have different advantages and costs. Diagnosis & treatment are first things to deal with. It may take a few days. User may also need to change his/her nutrition, food, life style to keep healthy. These services need experts' suggestions to make decisions.

Because of serious information asymmetry, it usually take a lot time and money to get limited knowledge. People need a platform to have some balance to make better decisions.


2 Data Structure

  • 2.1 The App simulates a big hospital with all departments of medical treatments and it contains all kinds of illness description. User can tag the department and illness that he is interested.
  • 2.2 Suggested treatments, clinics nearby and famous hospitals  (locations) 
  • 2.3 User (or a patient) states: pre-hospital, in-hospital, post-hospital, life and exercise, food & nutrition...
  • 2.4 Social: Bulletin Board System

3. AI role-playing

  • 3.1 User (with Receiving character) vs. helper AI (with Exploiting character) or medical services
          

  • 3.2  Treatment Planner AI (with Hoarding character): The AI which makes a plan for you to do treatments, food/nutrition, and experiencing changes for new life style.
         

4. Organization Chart

  
  • 4.1 Platform (APP) for M & M knowledge and possible treatments & improvements
  • 4.2 APP for making a plan to achieve them (local or foreign trips, local or foreign foods & nutrition..)
  • 4.3 Medical devices (ICT & AIoT) for monitoring customers
  • 4.4 Adopt AI with Human Characters for other business or applications (complicated functions, learning, personal habits, marking...)

5. Related Industry Cluster

  • 5.1 Test site from Taiwan: Taiwan has National Health Insurance for every people so it has 23-million people as a base of customers, higher cost-performance of medical & medicare services, most intelligent medical experts & school students, hardworking professional nurses than other countries. This platform has the potential to be developed into a competitive industry in Taiwan and attract other country's customers.
  • 5.2 Other countries and cities for advanced medical services, e.g. US, Europe, Japan, Korea..
  • 5.3 Local medical services: User may need local medical services for treatment and tracking.

6. Free & Charge

  • 6.1 Free to attract more users in short time to become dominant (Platform Strategy): Basic APP functions, Helper AIs
  • 6.2 Charge to get income: Treatment Planner (for Medical/Medicare, food/nutrition, travel planning..)


See Also



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2020-04-22

Company 08. New-Economy Strategy (updated on 2022.Mar.27)


1.  Opportunities of New Economies after COVID-19 & Ukraine War

Based on my previous blog "International Political Economics & New Economies", we'll have a massively different economic environment.

2. Resources & Technologies and their Competition

2.1 Tradition Resources and New Resources => Electricity, Mines and metals, Semiconductors
2.2 Recovering from COVID-19 and New Industries (EV)

3. Redefine the Markets & Reform the Supply Chains

3.1 US-China economy decoupling
3.2 New Technologies: Medical, AIoT, Military..
3.3 UN/WTO framework-> US vs. China allies

3.4 West (US/EU) against East (China/Russia) ?


4. Make Strategic Plans

4.1 Pick an Industry: EV
  • Components: Battery, chips (3rd generation), AI, metals
  • Services: online/offline, maps,  SoLoMo..
  • Applications: Electricity system (car, house, network..)

4.2 Poter's Five Forces of Competition Framework

4.3 BCG's matrix (Squeeze cash cows & dogs, find new markets)


  • Star-Like: Medical resources for covid-19 (mask,goggles, respirator, detection reagent, medicine, vaccine..), EV, 5G, AI,  Military..
  • Cash-Cow-like: eCommerce (Amazon/FB/Google/Twitter.., Platforms), Netflix, 
  • Question-Mark-like: Retailing, Traveling, Clothing..
  • Dog-like: Retailing, Traveling, Clothing..


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2019-11-17

Basic 8. Machine Learning vs. Human learning

1. Machine Learning


    • Natural Language Processing

      • Speech Recognition
      • Natural Language Processing


    2. Human Learning

    • 2.1 Left & Right Hemispheres for Sensing & Thinking

    Left Hemisphere 
    Right Hemisphere 
    thinks linearly & methodically, in language;
    thinks pictures (pixels, shape of numbers);
    all about the past & future;
    all about this moment, right here, right now;
    picks details and details from RH;

    then categorizes & organizes all that info;

    associates it with the past;

    projects into the future, all of our possibility;
    learns kinesthetically through the movement of our bodies;
    an ongoing chatter that connects me & internal world to the external world;

    I am... (I have become separate, a single solid individual separate from the environment);
    Info streams in simultaneously through all of our sensory system.
    Personal system

    (knowledge structure)
    Processing

    Sensing (information)

    3. A Bridge to Both

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    2019-05-31

    Product 07- Chatbots with Human Characters (updated on 2019.10.9)


    0. Introduction

    We need to do transactions with outside world to have the resources we cannot produce by ourselves, but there are a lot choices and field knowledge we don't know. Before a Decision Making, it takes a lot of time and money to gather information, check them one by one and play games with the suppliers (Information Asymmetry, Transaction Cost, Game Theory, not just for business services but also for Personalized Services). Chatbot with characters may help,

    1. Chatbot with Holding Character

    Nowadays, most chatbots are bots with a Holding Character. They have SOP to deal with most requested services or questions (e-commerce, payment methods, after-sales, holding activities..). User can follow the prompts to get needed service step by step. The services are limited and executed through SOP. The processes take time and you cannot jump to the service you need directly.

    2. Chatbot with Exploitative Character

    When application becomes much bigger and complicated, you may design a chatbot with Exploitative Character which can guide you to have basic knowledge and jump to the target service you need quickly like an angel.

    3. Chatbot with Receptive Character

    When application becomes much bigger and complicated, you may design a chatbot with Receptive Character which can provide you tools to help you (e.g. calculator app, everyday-use-text app..) like an assistant.

    4. Chatbot with Marketing Character

    When goods & services are more and more on a platform, you may design a chatbot with Marketing Character which can help user to find or promote target goods & services like a salesman.

    5. Chatbot with Multiple Characters

    In a real application, you may design a chatbot with mixed characters, e.g. an assistant with Receptive & Hoarding Characters. It cam provide users necessary helps according to personal conditions and habits. 

    6. Bot vs. Assistant

    • Bot is an AI running SOP for business side (the front end of Digital Marketing)
    • Assistant is an AI running services for user side (Personalized Services).

    7. Application Fields

    • Product 04. AI Device- Smart Speaker (as a Platform of Services)

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    2019-05-30

    Company 07. Adopting AI to gain more company profits & forming a core-competence

    Company Profits =  Customer Values - Company Costs

     1. Adopting AI to create more customer values in new & old businesses (personal, customized, consulting, VIP, high value-added, more productive..)

    2. Adopting AI to lower costs in old business
    Human-characterized AIs replace some administration (SOP) and sales (marketing) staffs.
    --------------------------------------------------------------------------------------------------------------------

    Develop AI as a Company's Core-competence

    3. Developing an AI team to become company's core-competence in one field (B2C)
    Hire more AI engineers to form a team and apply the related technologies in one potential field.
    • E.g Amazon's website and e-commerce business.
    4. Developing AI teams to serve other companies (B2B)
    Build more AI teams to serve other corporations (better be the leaders or different fields)
    • E.g Amazon's AWS for other corporation customers

    Coursera


    Reference





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    2019-05-17

    Basic 6. Sound, Speech, Natural Language Processing & AI with Human Characters (for Socialized Interaction)

    Basic Sound Processing in Python | SciPy 2015 | Allen Downey

    Besides the above technologies, you can design an AI figure with the following human characters to interact with users.
    • Receptive Orientation: Female, tame, pleasant, lovely, youth, obedience, ..
    • Exploitative Orientation: Male, aggressive, harsh, cool, seducing, heroic, ..
    • Hoarding Orientation: Neutral, warm or cold, rigid, synthesized, middle age, professional, ..
    • Marketing Orientation: Design them for target customers.

    Reference

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    2019-04-19

    Company 06. How to cross the big chasm of a new product life cycle? (updated on 2020.1.22)


    Product Life Cycle

    1. An ideal curve of a new product life cycle is like the following one:


    2. How people to adopt a new product is like this one:


    3. In real life, we usually get this one (a big chasm and tornadoes):


    4. How to cross the big chasm?

    For example, R&D engineers develops a smart and powerful App with a lot of functions but only few early adopters are interested to use it. We need AI figures with Exploitative or Marketing Orientation to lure people how to do and what they can be benefited.

    After newbies become veterans with Exploitative or Marketing Orientation, they'll show off what they can do and teach other newbies with Receptive or Hoarding Orientation through social mediums, blog..). Hoarding Orientation people will be the majority and resist to adopt the other similar products (a stable cash cow).

    4.1 Early Market
    Traditionally, we use advertisement or low price to prompt and lure customers. That is effective for commodity products because customers have experience of similar products. You can adopt Marketing Orientation AI to do the same jobs to extend the effect with less cost. For innovation products, customer lack experience to use them before so hesitate. You can adopt  Exploitative Orientation AI to show how to do and what they can be benefited to arouse customers' interests. For example, a hero saves you when you have a problem or a awkward situation.
     

    4.2 Mainstream Market
    During this stage, most customer know this new innovation and develop their own habit and preference, They want to keep these routines and repeat them next time. You can adopt Hoarding Orientation AI or specialist AI to help them to repeat some specific processes or doing some extra works (e.g. calculation or translation).
     

    4.3 late Market
    During this stage, companies usually ask to lower costs and maybe cut some services rare used. You can keep AI services only and cut staff services to save the costs.


    See also,

    Product 04- AI Device- Smart Speaker (as a Platform of all Services,


    Company 05. Platform Strategy



    References

    1. Lecture "Innovation: Technology, Market and Business Models" (Prof. Chiang, Chiung-Tsung, College of Management, National Taiwan University)





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