报告题目：Data-driven technology-enabled business intelligence
报告人：朱飞达教授
报告时间：2016年7月14日（星期四）14：30-17：00
报告地点：信息学馆301
邀请人： 王国仁 袁野
报告摘要：
Our time has been characterised by an explosion of data of all sorts. In particular, the recent blossom of social network services has provided everyone with an unprecedented level of ease and fun of sharing information of all kinds. These public social data therefore reveal a surprisingly large amount of information about an individual which is otherwise unavailable. The business, consumer and social insights attainable from this big and dynamic social data are critically important and immensely valuable in a wide range of applications for both private and public sectors. What can we tell from the social data on the context of consumer behaviour, such that we can enrich the transaction-based data of traditional corporate databases? How can we unleash the power of social connections to identify potential high-value customers and perform cost-effective risk management? How to achieve dynamic social listening on 200 million users and detect in realtime marketing opportunities based on bursty events? In this talk, we will introduce a cluster of research results that underlie some initial answers to these questions, along with recent advances in real-life enterprise-level applications.
个人简介：
ZHU Feida Ph.D.
Assistant Professor
Lee Kong Chian Fellow
DS LEE Foundation Fellow
Founding Director, Pinnacle Lab for Analytics
Founding Director, DBS-SMU Life Analytics Lab
Singapore Management University
报告人：朱飞达教授
报告时间：2016年7月14日（星期四）14：30-17：00
报告地点：信息学馆301
邀请人： 王国仁 袁野
报告摘要：
Our time has been characterised by an explosion of data of all sorts. In particular, the recent blossom of social network services has provided everyone with an unprecedented level of ease and fun of sharing information of all kinds. These public social data therefore reveal a surprisingly large amount of information about an individual which is otherwise unavailable. The business, consumer and social insights attainable from this big and dynamic social data are critically important and immensely valuable in a wide range of applications for both private and public sectors. What can we tell from the social data on the context of consumer behaviour, such that we can enrich the transaction-based data of traditional corporate databases? How can we unleash the power of social connections to identify potential high-value customers and perform cost-effective risk management? How to achieve dynamic social listening on 200 million users and detect in realtime marketing opportunities based on bursty events? In this talk, we will introduce a cluster of research results that underlie some initial answers to these questions, along with recent advances in real-life enterprise-level applications.
个人简介：
ZHU Feida Ph.D.
Assistant Professor
Lee Kong Chian Fellow
DS LEE Foundation Fellow
Founding Director, Pinnacle Lab for Analytics
Founding Director, DBS-SMU Life Analytics Lab
Singapore Management University