Driven by Data: Machine learning explained

Actuaries Institute Podcast

What is machine learning? Which industries are likely to benefit from it in the future? How can actuaries influence the way machine learning is applied?
Equipped with a combined 28+ years’ experience working closely with machine learning models, influential data analytics actuaries Jacky Poon (Head of Finance at nib Travel) and Michael Storozhev (Head of Underwriting, Asia and Startup Ventures at Cover-More) join the Driven by Data Podcast to predict where and how machine learning will be applied in the future. Here’s a hint… it could end up operating your fridge!
Jacky and Michael chat about their first taste of machine learning, how they apply it in their current roles, the four machine learning techniques actuaries must have in their toolkit, and the one machine learning technique Jacky and Michael swear by.
PLUS, Jacky and Michael offer advice for how those new to machine learning can get up to speed.
0:31 – How Jacky and Michael define and apply machine learning in their current roles
4:40 – The four machine learning techniques actuaries must have in their toolkit
7:04 – Recommended machine learning techniques, and why
11:33 – The challenges with applying machine learning in their direct fields of health and travel insurance…
12:53 – …And how do Jacky and Michael tackle those challenges
14:23 – Tips for which industry will benefit from machine learning in the future
17:33 – Advice for those new to machine learning techniques
TRANSCRIPT: https://actuaries.logicaldoc.cloud/download-ticket?ticketId=d3833ee4-d379-4ad2-860e-c34a9bf925b6
ABOUT THE ACTUARIES INSTITUTE:
As the sole professional body for Members in Australia and overseas, the Actuaries Institute represents the interests of the profession to government, business and the community. Actuaries assess risks through long-term analyses, modelling and scenario planning across a wide range of business problems.
This unrivalled expertise enables the profession to comment on a range of business-related issues including enterprise risk management and prudential regulation, retirement income policy, finance and investment, general insurance, life insurance and health financing.
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