Pre-AGM Forum “Nuts and Bolts of Data Science for Insurance”

From:23 Mar 2018 - 16:00
To:23 Mar 2018 - 18:00
Location:Level 2, Waterfront Ballroom 3, Grand Corpthorne Waterfront Singapore, 392 Havelock Rd, Singapore 169663


Dear SAS members,

 

The Big Data Committee is pleased to host this pre-AGM afternoon forum on “Nuts and Bolts of Data Science for Insurance” with presentations from 2 winners of the SAS 2017 Kaggle competition. Asia Actuarial Analytics Challenge 2017 - Winners

 

Date:      Friday, 23 March 2018
Time:      4:00 pm to 6.00 pm
Venue:    Level 2, Waterfront Ballroom 3, Grand Corpthorne Waterfront Singapore, 392 Havelock Rd, Singapore 169663

4:00pm: Registration
4:30pm: Commencement of forum
6:00pm: Forum ends {AGM starts} 

 

Data science demystified: the typical end-to-end data science workflow by Dr. LUO Wuqiong

Motivating by evidences that data can drive business value, many companies are investing into data science and many people are aspiring to become a data scientist. It's hard to believe that the term "data science" has emerged to be a buzz word only for the last couple of years. There isn't a clear definition of data science, and many people have misunderstanding of this term. This presentation will peek into the career of a data scientist, review the typical end-to-end data science workflow, and help set the right expectation for data science projects.

 

What Are We Talking About When We Talk About “Data” as Insurers? by Mr. DENG Xiaodong

Data, for sure, will be a significant part of our future. In the insurance industry, people are catching up in terms of utilizing data science and related technologies in many fields, including product design, marketing, underwriting, claim, customer experience, etc. However, we may need to pay attention to the uniqueness of this industry and potential pitfalls when we migrate the experience from other industries. There are some limitations/bottlenecks we may encounter. Addressing them will help clarify how a data science-friendly environment should be like and how we can make it happen.

 

Cost:  Free for paid up Members (please login with your Username before signing-up), and full-time students showing student identification.

Non-Members:  S$50.  Payment via cheque / internet banking / cash deposit at any DBS branches is preferred.

Paypal is also available on our online registration form.  During Paypal payment at $52.13 inclusive of 4.25% paypal charges, please wait until the transaction is complete and you are transferred back to the SAS website before closing your browser.

 

Please pre-register as the seats are limited.

 

Priority will be given to paid up members who have pre-registered and then to others who have pre-registered and finally, if any seats remain, to those who do not pre-register based on their order of arrival.

 If you would like to attend, please register by signing up through this link Online Registration.

 

Deadline for registration: 9th March 2018

 

About the speakers:

 

Dr. LUO Wuqiong is currently with OCBC AI Lab to drive data-driven artificial intelligence across the bank.  He received the B.Eng. degree in Electrical and Electronic Engineering with First Class Honours from Nanyang Technological University, Singapore in 2010. He obtained the PhD degree in Electrical and Electronic Engineering from Nanyang Technological University, Singapore in 2015. Dr. Luo was awarded the Best Student Paper Award at the 46th Asilomar Conference on Signals, Systems, and Computers, California, USA. As the first author, he has published over ten papers on IEEE top-tier journals and International flagship conferences. He was a Research Fellow at Nanyang Technological University and worked on information spreading and rumor source identification in large online social networks. He was with Micron Semiconductor as Senior Data Scientist and worked on statistical learning using Big Data. He joined Allianz SE as Data Science Lead to transform regional Insurance business by developing actionable analytical insights through predictive and prescriptive analysis.

 

Mr. DENG Xiaodong is working at Manulife Singapore (Advanced Analytics). During his Master study in Mathematics at National University of Singapore, he focused on applying data science techniques in Healthcare and Electronic Medical Records research. Upon graduation, he joined life insurance industry (AXA, Manulife) and has experience in predictive modelling, web analytics, and MIS building. He was awarded the Manulife-Asia Advanced Analytics Spark Award in Q3 2017. Xiaodong is enthusiastic about programming and is an active contributor to open-source community (mainly Python and R). http://seekingqed.com/

 

Thank you

 

 

Frederic Boulliung
Forum Coordinator
Singapore Actuarial Society

 






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