Paper 1) Enhancing Data Preprocessing with AI

In the insurance industry, professionals—including actuaries—process raw data to derive a wide range of analytical results that inform key business decisions. Consequently, many organizations are actively studying ways to enhance pricing models through AI technologies such as Machine Learning (ML) and Deep Learning (DL). However, in practice, the stage that consumes the most time is often not advanced modeling itself, but data preprocessing.

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RNA Analytics
AI in insurance: Navigating regulation across the US

Artificial intelligence is offering US insurers a plethora of new opportunities, driving transformation in risk assessment, customer engagement and operational efficiency. Despite recent efforts to bring AI regulation under federal auspices, oversight remains characterised by a fragmented and largely state-driven regulatory environment.

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RNA Analytics
Interest Rates Take Centre Stage in ALM Risk: Why Insurers Can No Longer Ignore the Interest Rate Imperative

Authored by John Bowers, Actuarial Product Director, RNA Analytics

Insurance companies have long grappled with asset–liability mismatching risk, but today the most significant catalyst reshaping this challenge is interest rate volatility. While regulation, market instability and investment complexity all contribute to the growing ALM burden, interest rate movements now sit squarely at the heart of insurers’ balance sheet risk.

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RNA Analytics
South Korea – at a crossroads

South Korea’s life insurance market is undergoing rapid transformation, driven by macroeconomic pressures, regulatory change and shifting demographics – prompting insurers to sharpen their asset-liability strategies using advanced modelling too.

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RNA Analytics
Navigating ALM in South Korea Amid IFRS 17 Volatility

The implementation of IFRS 17 has introduced significant challenges for insurance companies in South Korea, particularly in the management of assets and liabilities. With increased volatility in liabilities, driven by market fluctuations and shifts in interest rates, insurers must adapt their Asset-Liability Management (ALM) strategies to remain financially stable.

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RNA Analytics
April is Financial Literacy Month

April is Financial Literacy Month, an annual event that began in the US in 2000, and was officially recognised by a Presidential proclamation in 2010. While it originated in the US, Financial Literacy Month has global relevance, and insurance plays a crucial role.

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RNA Analytics