WTW Launches AI-Powered Enhancements for RiskAgility FM

WTW (NASDAQ: WTW), a leading global advisory, broking, and solutions firm, has recently unveiled groundbreaking AI capabilities that promise to revolutionize their financial modeling and reporting software, RiskAgility Financial Modeller (RiskAgility FM). Used extensively by life and health insurers, the integration of Artificial Intelligence and large language models (LLMs), driven by Generative AI technology, marks a significant leap forward in actuarial modeling. This innovative enhancement addresses several critical challenges faced by insurers, such as managing intricate products and adapting to new regulations like IFRS 17. Through these advanced AI capabilities, WTW’s RiskAgility FM now allows insurers to write, refine, and extend model code with greater efficiency, in addition to explaining complex code and actuarial concepts clearly.

Advancements and Industry Impact

Mark Brown, the Global Proposition Lead at WTW, emphasized that the AI-driven improvements in RiskAgility FM facilitate faster model development while reducing errors, leading to significant cost savings and heightened efficiency for insurers. This notable trend mirrors the industry’s broader strategy of leveraging advanced AI to streamline actuarial processes, ensuring both accuracy and compliance within an ever-changing regulatory environment. The upgrade of RiskAgility FM aligns with the widespread belief that the integration of AI offers transformative benefits for financial modeling in the insurance sector. These advancements in RiskAgility FM are poised to set new standards within the industry, showcasing how AI can optimize existing processes and deliver superior outcomes for organizations in the financial modeling domain.

Explore more

AI Redefines the Data Engineer’s Strategic Role

A self-driving vehicle misinterprets a stop sign, a diagnostic AI misses a critical tumor marker, a financial model approves a fraudulent transaction—these catastrophic failures often trace back not to a flawed algorithm, but to the silent, foundational layer of data it was built upon. In this high-stakes environment, the role of the data engineer has been irrevocably transformed. Once a

Generative AI Data Architecture – Review

The monumental migration of generative AI from the controlled confines of innovation labs into the unpredictable environment of core business operations has exposed a critical vulnerability within the modern enterprise. This review will explore the evolution of the data architectures that support it, its key components, performance requirements, and the impact it has had on business operations. The purpose of

Is Data Science Still the Sexiest Job of the 21st Century?

More than a decade after it was famously anointed by Harvard Business Review, the role of the data scientist has transitioned from a novel, almost mythical profession into a mature and deeply integrated corporate function. The initial allure, rooted in rarity and the promise of taming vast, untamed datasets, has given way to a more pragmatic reality where value is

Trend Analysis: Digital Marketing Agencies

The escalating complexity of the modern digital ecosystem has transformed what was once a manageable in-house function into a specialized discipline, compelling businesses to seek external expertise not merely for tactical execution but for strategic survival and growth. In this environment, selecting a marketing partner is one of the most critical decisions a company can make. The right agency acts

AI Will Reshape Wealth Management for a New Generation

The financial landscape is undergoing a seismic shift, driven by a convergence of forces that are fundamentally altering the very definition of wealth and the nature of advice. A decade marked by rapid technological advancement, unprecedented economic cycles, and the dawn of the largest intergenerational wealth transfer in history has set the stage for a transformative era in US wealth