The resurgence of reinsurance

whitePaper | January 3, 2020

As insurance firms adapt to maturing markets and economic turbulence, in the long run, their ability to integrate technology, talent, and business-model innovation into legacy environments may be the key to success. The insurance industry remains resilient, continuing to generate growth around the world and maintaining overall profitability despite turbulence in the global economy.

whitePaper | April 25, 2023

Read the findings of the FCA’s multi-occupancy buildings insurance broker remuneration review, its conclusions and next steps. One of the findings in the broker market was evidence of some high commission rates and poor practices which were not consistent with driving fair value to the customer.

whitePaper | April 1, 2023

In a study conducted by KPMG, 96% of insurance CEOs reported the pandemic accelerated digitization initiatives. COVID-19 forced businesses of all shapes and sizes (along with consumers) to embrace digitization.

whitePaper | June 16, 2022

Data has always been an important asset in the insurance industry, which is largely built on algorithms and financial models. Today, that is truer than ever before. Data can be analyzed to provide insurers with deeper business insights and the ability to target the right customers through the right channels with the right offerings in the right sequence. It also has opened the door to a growing group of digital natives and insurtechs that bring innovative ideas and solutions to help accelerate and improve the customer journey. Today, the advent of artificial intelligence (AI) is increasing the importance of data across the industry. AI is widely recognized for its potential to bring greater efficiency and innovation to the entire insurance value chain, from customer acquisition to claims processing, and for all stakeholders, including customers, agents and employees. However, effective AI depends on current, accurate and relevant data. AI is key to competitiveness, and data is key to AI.

whitePaper | February 9, 2023

The main objective of this analysis is to understand and identify current requirements and challenges faced by operators of essential services (OESs) when contracting cyber insurance. Accordingly, the aim of the analysis is to provide recommendations to policymakers and OES on possible ways to face these challenges. The work is particularly focused on the analysis of OESs as acquirers of cyber insurance products and services.

whitePaper | April 21, 2022

Progress in the areas of robotics, Artificial Intelligence (AI) and Machine Learning (ML) continues to define a new era of automation in finance. In the last decade, one such focus area for many financial organisations has been automating and modernising key back-office processes like reconciliations. Yet the insurance industry has lagged behind in this regard, relying on outdated reconciliation procedures far longer than any other financial sector. The result is that many firms today struggle with critical issues like differing data formats, manual processes and IT dependencies.