Data Science Conference & Expo 2020

The Data Innovation Summit APAC is constructed so it equally addresses all the elements of data-driven and AI-innovative business: data, people, processes and technology. The event is showcasing some of the best data-driven innovative projects, products, business ideas and technologies, presented by some of the most advanced and innovative organisations in the world.

At this moment the world faces many global challenges related to environment, climate change, health, food insecurity, economic recovery or human displacement. To take appropriate action, governments have to understand and monitor the existing situation and therefore need relevant and timely data. The statistical community is tasked to deliver these data, in particular also data on the Sustainable Development Goals.

The UN Statistics Division and Statistics Korea (National Statistical Office of the Republic of Korea) have co-organized every year an international seminar regarding important issues on the global statistical agenda since 2010. The seminar has covered a variety of social and economic issues from the perspective of statistics. For example, we have discussed the role of data and statistics in understanding open data and data disaggregation for reaching Sustainable Development Goals; and using big data for official statistics. As we recover from the COVID-19 pandemic, the significance of timely data using new data sources and data linkage has increased and it has provided us with new opportunities to the international statistical community for discussing the data stewardship and the data security issues.

There is no doubt that Chief Data Officers (CDOs) have an extraordinary opportunity to utilize their organizations’ enterprise data assets, enable data-driven decision-making and implement digital transformation at scale — all of which are highly needed, especially in the post-pandemic period. In demand, CDOs are in a highly strategic, visionary role to unlock the power of their organizations’ data for AI-infused applications and long-term autonomous enterprise efforts. While the first generation of CDOs was mostly about defense-driven, risk-mitigating endeavors, with an emphasis on data governance, the next generation is about building an enterprise-wide data platform to bring business value out of data.