世界经济论坛：共同利益的数据协作：通过公私合作伙伴关系实现信任和创新（英文版）（33页）.pdf

1、Insight Report Data Collaboration for the Common Good Enabling Trust and Innovation Through Public-Private Partnerships April 2019 Produced in Collaboration with McKinsey compounding the problem, rules governing data collaborations are often absent or uncertain. Without appropriate guidance, some le

2、aders believe they have little recourse if their counterpart steps out of line. Although it may be tempting to say that data collaborations are too risky, the cost of inaction is immense. If companies and governments keep working in isolation, they will make slow progress in eradicating poverty and

3、other social ills. Thats not a situation society can afford to face. Instead, its time for leaders across the public and private sector to co-create a policy and data governance framework that strengthens trust and data practices in more pragmatic and sustainable ways, while encouraging a healthy do

4、se of innovation. By “going slow to go fast” we can collectively improve how organizations use data collaboration for both the common good and commercial gain and thats a win for us all. Chang-Gyu Hwang, Chairman and Chief Executive Officer, KT Corporation JoAnn Stonier, Chief Data Officer, Masterca

5、rd Nicolaus Henke, Global Leader of Digital and Analytics and Chairman of QuantumBlack, McKinsey and Company 7Data Collaboration for the Common Good: Enabling Trust and Innovation Through Public-Private Partnerships Executive summary As the digital technologies of the Fourth Industrial Revolution co

6、ntinue to drive change throughout all sectors of the global economy, a unique moment exists to create a more inclusive, innovative and resilient society. Central to this change is the use of data. It is abundantly available but if improperly used will be the source of dangerous and unwelcome results