- This event has passed.
SQA Seminar—Talent Analytics: Prospects and Opportunities
CFA SOCIETY NEW YORK MEMBERS
Select “Non Member Affiliated” from the dropdown to pay the $70 reduced registration rate
Join us for our end of the year celebration!
“Talent Analytics: Prospects and Opportunities”
Location: Stout NYC
133 West 33rd Street, New York, NY 10001
The big data trend has made its way to talent management. Indeed, the availability of large-scale human resources (HR) data provide unparalleled opportunities for business leaders to understand talent behaviors and generate useful talent knowledge, which in turn deliver intelligence for real-time decision making and effective people management at work. In this talk, I will introduce innovative big data techniques developed for evaluating the management performance, recruit and retain talent, enhance talent development, and demonstrate how the results of talent analytics can be used for financial investment. In addition, I will explain how data analytic techniques have successfully applied for people-related issues, such as recruiting, performance evaluation, talent retention, talent development, job matching, team management, leadership development, and organization culture analysis. Finally, I will present two case studies: 1) recruitment market trend analysis with sequential latent variable models, and 2) talent circle detection in job transition networks.
Dr. Hui Xiong is currently a Full Professor and Vice Chair in the Management Science and Information Systems Department, and the Director of Rutgers Center for Information Assurance at Rutgers, the State University of New Jersey, where he received RBS Dean’s Research Professorship (2016), a two-year early promotion/tenure (2009), the Rutgers University Board of Trustees Research Fellowship for Scholarly Excellence (2009), and the Best Research Paper Award at the 2011 IEEE International Conference on Data Mining (ICDM). For his outstanding contributions to data mining and mobile computing, he was elected an ACM Distinguished Scientist in 2014.
Dr. Xiong is a prominent researcher in the areas of business intelligence, data mining, and big data. He has a distinguished academic record that includes 200+ referred papers in conference proceedings and journals, and an authoritative Encyclopedia of GIS (Springer). He is serving on the editorial boards of IEEE Transactions on knowledge and Data Engineering (TKDE), ACM Transactions on Knowledge Discovery from Data (TKDD), ACM Transactions on Management Information Systems (TMIS), and IEEE Transactions on Big Data. Also, he served as a Program Co-Chair of the Industrial and Government Track for the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2012), a Program Co-Chair for the IEEE 2013 International Conference on Data Mining (ICDM-2013), a General Co-Chair for the IEEE 2015 International Conference on Data Mining (ICDM-2015), and a Program co-Chair for the 2018 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2018).
Dr. Xiong has been interviewed and quoted by local, national and international media, such as Forbes, Xinhua News Agency, and the Wall Street Journal. Also, the Economist has featured his research work for crime prevention in 2016 (Article Title: Cutpurse capers). Moreover, the Harvard Business Review has featured his pioneer work on people analytics in 2016.
Dr. Xiong is committed to graduate and data science education. He has graduated 7 PhD students, and five of them are now faculty members in major research universities in USA, such as the University of Tennessee – Knoxville, the University of Arizona – Tucson, Stony Brook University, and Drexel University.
5:30 p.m. Cocktails & Networking
6:00 p.m. Presentation
7:00 p.m. Annual Meeting
7:30 p.m. Cocktails & Networking
8:00 p.m. Adjourn
SQA Members: Regular or Academic – $50
Transitional or Student – $30
Non-Member Affiliated – $70 <— CFA Society New York Member Price [Select Option at Registration]
Non-members – $90
Follow these steps to become a member and sign up for this event:
1) Join the SQA email list or join SQA as member
2) Validate email
3) Register for event (and see relevant pricing)
Please contact the office at firstname.lastname@example.org or 518-694-3157 if you would like to register over the phone
All requests for Withdrawals must be submitted in writing and dated. The date of the request will be the date it is received by CFANY. Requests may be faxed to (212) 541-4677, or emailed to email@example.com.
Withdrawals from events, live or streaming, are subject to the following policy:
- 24 HOURS ADVANCED NOTICE OR MORE: Credit to be issued (to be used within 6 months)
- LESS THAN 24 HOURS OR AFTER EVENT HAS STARTED: No refund
For more information: Policies and Procedures