Data Driven Innovation for Growth and Well-being

소개

"Data Driven Innovation for Growth and Well-being"에 대한 내용입니다.

목차

1. What is DDI(Data-Driven Innovation)?

2. The Case of DDI
1) UPS
2) Netflix
3) Falling fruit
4) Smart Inhaler

3. The process of DDI

4. Challenge of DDI

5. Policy
1) Flexibility
2) Full consent
3) Transferring responsibility to data users
4) Oversight over data use

6. Conclusion

본문내용

The accelerated development of information technologies in recent years has fostered the understanding that data is the most important resource in our world today. Nonetheless, while data is a highly accessible resource, it is not sufficiently exploited. Those who will know how to exploit it wisely will enjoy huge economic and social advantages. The enormous volume of digital information in the world more than doubles e very two years, and data is currently related to everything and everyone. At the same time, currently available technologies can now produce a vast array of data outputs that may be able to drive progress worldwide. DDI refers to innovative applications derived from data analytics. Data is collected in countless data sets, internal company data sets as well as external datasets such as government, fee-based or other open data sets. In fact, the recognition that data is the lifeline of innovation in the 21st century paves..

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