Thought Leadership

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Read cutting-edge thought leadership about the 2023 International Congress of Actuaries program and theme, Bridge to Tomorrow, from key ICA2023 Sponsors.
 
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Actuarial recruitment needs a name change. Here’s why.

By SKL Actuarial

As demand for actuaries hits an all-time high, specialist recruiters have evolved to offer so much more than their name suggests.

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Applying Machine Learning to Actuarial and Pricing Workflows - Actuarial Edition.

By Akur8

Applying machine learning to insurance pricing is escalating with advances in technology and greater access to machine learning platforms. Actuarial judgement can assist machine learning outcomes to produce better results in insurance pricing. 

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GROWING GLOBAL ACTUARIAL CAPACITY TO SUPPORT SUSTAINABLE ECONOMIC DEVELOPMENT

By Steve White and Jorge Torres, Milliman

Milliman has embarked on an aspirational effort with the United Nations Development Programme (UNDP)’s Insurance and Risk Financing Facility (IRFF) to build actuarial capacity in the developing world.

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How Insurers Can Overcome Challenges In The Insurance Industry

By Thorsten Hein, SAS.

Insurers, CFOs and actuaries, are facing an overwhelming number of changes and challenges in the year ahead, including technology advances, inflation, climate reporting requirements and ESG issues. 

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Australian Mutual Alternatives To Insurance

By Adrian McGarva, PFS Consulting.

With insurance capacity and affordability becoming increasingly problematic in a number of classes of insurance in Australia and globally, discretionary mutual alternatives are being turned to where insurance is failing. In Australia, these structures are known as DMFs. 

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Data Science Superpowers: Pay it Forward

By MNC.

Data science is the new superpower. The insurance sector can harness it to create social good if public and private data custodians join together to share their data securely and responsibly.  

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World-leading research on predictive depression factors

By AIA Australia supported by Quantium Health.

The objective of the study by AIA Australia and Quantium was to identify whether it is possible to predict the risk of depression using demographic, behavioural and environmental factors. The intention of the study was to shed light on complex problems and identify solutions that could be implemented by professionals and affected individuals.  

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