Automation
358 whitepapers and resources
How big data and AI could slash insurance costs
This article explains how by harnessing the power of big data and AI, insurers can encourage healthier habits to reduce claims and cut costs.
Three insurance industry challenges for Gen Z to fix
Use artificial intelligence as an assistant, don’t let inclusion be a tick box exercise, and shape your company’s climate change efforts was the advice to Generation Z who attended iCan’s Elevate conference. This article sheds light on three key challenges for Gen Z to fix.
How AI can mitigate increasing cost of extreme weather
Izik Lavy, CEO and co-founder of GeoX, discusses how insurers are using AI and aerial imagery to battle the extreme weather ushered in by the climate crisis.
Why cyber insurance’s evolution requires an AI injection
The frequency and intensity of cyberattacks are changing rules and throwing the insurance market into chaos. In this article, Hartmut Mai, president at Cyberwrite, argues AI is required to produce cyber insurance suitable for today’s business needs.
How usage-based insurance is gamifying driving
This article examines how usage-based insurance, artificial intelligence and insurtech partnerships are transforming the sector, gamifying experiences and encouraging better habits.
AI shouldn’t spell the end of human insurer judgement
Artificial intelligence excels at prediction, but it does not possess judgement. This article explains the ways human judgement will become more common as AI systems proliferate, and why business leaders need to be aware that humans will still be essential to manage risk.
Challenges of generative AI in the insurance sector
In this article, Charlotte Halford and Peter Allchorne, partners at DAC Beachcroft, outline the challenges facing insurers looking to adopt generative AI.
In-Depth: Staying ahead of cyber risk
Produced by Insurance Age and Aviva, this In-Depth series explores the latest trends across the rapidly changing cyber threat landscape, the impact on UK businesses, and how brokers can support client firms in tackling this key risk.
Using algorithms to underwrite commercial and specialty market risks
In this content, Harry Curtis examines the applications of algorithmic underwriting in commercial and specialty insurance, what role the approach leaves for human underwriters, and what challenges it presents.
The rise and risks of AI contract drafting and analysis
There has recently been an increase in the number of startups bringing artificial intelligence (AI) contract drafting and analysis tools to market. In this content, ARAG’s partners at Ashfords LLP explore the benefits as well as risks of using AI in this way.