This cross practice working party was established to investigate “Big Data”. Primarily focused on the latest and emerging thinking associated with modern mathematical tools and techniques, the working party will explore how the actuary may utilise these techniques to remain practical and add value to the businesses it serves
The GI Board will supervise the strategic outputs of this working party however, it remains a cross practice initiative with regular input from other practice area boards and members.
Key objectives:
This Working Party was created to:
- further understanding of the latest in data science, big data, predictive analytics, machine learning and an ever wider range of mathematical techniques based on operational research, probability and statistics
- develop a tool kit for members of the profession dealing with techniques now associated with colloquial terms including but not limited to data science, predictive analytics, machine learning and big data
- consider where such tools and techniques are currently used; what sort of actuarial problems they might be applicable to; their implications for education, exams and continual professional development or the various codes of conduct
- outline ways in which this work can be made continual - and identify emerging areas that offer special opportunity in current or new domains
- undertake any other work and research as relevant and appropriate.
Keep up to date with the most recent developments in the data science realm, including outputs of the MAID Working Party, with the Data Science Digest.
Outputs
2019
Presentations from MAID Working Party Wrap Up Event, 21 May 2018
- Presentation 1: Summary
- Presentation 2: The Role of the Actuary in Data Science
- Presentation 3: Lifelong Learning
- Presentation 4: Data Science MIG
Outputs from GIRO 2017
Outputs from 12 May 2016 Data Science Universe Event:
- An Introduction to the Data Science Universe
- Data, Cognitive & The Internet of Things
- Use of Big Data For Actuarial Research on Longevity
- Data Science Universe Seminar - Modelling, Analytics and Insights from the Data Working Party - Update on work streams
- Audio file - Part 1
- Audio file - Part 2
- Audio file - Part 3
Other outputs
-
Practical Application of Machine Learning Within Actuarial Work - 01 February 2018
- IFoA Member Survey on the Data Science Universe. Results and Recommendations - 6 February 2017
| Chair: | Michael Tripp |
|---|---|
| Membership: | 30+ |
| Established: | 2016 |
Contact Details
If you want more information about this research working party please contact the Communities Team.
Events calendar
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