News

Authored by James Beck, Senior Strategy Advisor, US, RNA Analytics

The US insurance landscape is undergoing a profound transformation. New regulations like Valuation Manual (VM)-22 for annuities, coupled with the global push for standardization embodied by the Insurance Capital Standard (ICS), are demanding an unprecedented level of sophistication from insurers.

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.

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.

RNA Analytics has deep experience of IFRS 17 implementation in Asia and Solvency II in Europe, building top-tier expertise that is standing by to deliver LDTI-ready tools tailored for the US market.

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.

South Korean actuaries face significant pricing pressures driven by evolving regulatory requirements, demographic shifts and economic uncertainty.

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.

We are honoured to be recognised with two prestigious awards at InsuranceAsia News Country Awards for Excellence 2025

RNA Analytics is pleased to welcome Yu Chieh Hu to our Taiwan Office as an Actuarial Consultant, further strengthening our growing presence in the APAC region.

We’re proud to be an exhibitor at the IFoA Middle East Conference 2025, taking place on 1-2 September in Riyadh.

We are excited to introduce R3S RiskPlatform, part of RNA’s best-in-class R3S Software Suite, designed to revolutionize how insurers handle statutory reporting, risk management, and business planning, fully automated, at the touch of a button.

Asia-Pacific is adopting an innovation-friendly approach to the use of artificial intelligence in insurance, with regulators offering clear, industry-specific AI guidance – despite the absence of a region-wide AI law.

We are excited to announce that NH NongHyup Insurance has selected RNA Analytics as its preferred partner for a major project valued over USD 2 million, including licenses for our R3S platform. This important win marks our 10th client in Korea using R3S, reinforcing our continued growth and trusted presence in the Korean market.

As the insurance industry continues to navigate the evolving landscape of US regulation, risk management, and actuarial transformation, establishing a local presence in New York strengthens our ability to serve our US customers with even greater responsiveness and insight.

Authored by Justin Hwang, Head of the AI Project, Donghwan Lee, AI Team Lead and Scarlett Bae, AI Specialist

LLMs: The Most Advanced AI Models in Modern Society

In this exclusive Q&A, we speak with Tak Lee, GC Regional Manager at RNA Analytics, about the evolution of the actuarial profession and the current dynamics shaping Hong Kong’s insurance market.

RNA Analytics, a leading provider of actuarial and risk management solutions, has officially launched a large-scale project to revolutionize actuarial modeling through AI, reinforcing its position at the forefront of digital transformation in the insurance industry.