5 min read
With its unparalleled ability to extract insight from burdensome volumes of raw data, AI is more than an opportunity to innovate. Nevertheless, this doesn’t make it the answer to every problem involving data. Even when applied to the right problems,...
6 min read
In a previous article, we discussed how the recently launched Aioi R&D Lab - Oxford was tackling the problem of ageing populations by using insurance telematics data and AI to detect the risk factors indicating cognitive decline in elderly drivers....
5 min read
We have previously spoken about how AI is more than just an innovation opportunity, despite contrary prevailing wisdom. It can already solve real and complex problems in various challenging environments, with sonar signal processing in the maritime...
5 min read
Fraud is one of the most pervasive threats to the insurance industry, causing damage to both businesses and customers. Every insurer takes steps to try and negate this threat, but how effective are these measures, and could AI hold the key to truly...
5 min read
In the previous two blogs in the series, we addressed what makes machine learning models trustworthy and how machine learning models fail. This blog is focused on how machines learn and one particular approach called meta-learning, which enables...
3 min read
The integration of Artificial Intelligence (AI) and machine learning has already brought transformative opportunities across the rapidly evolving landscape of the insurance industry. As data generation has surged and competition intensified,...
5 min read
AI is everywhere. It has rapidly become an integral part of how we organise our lives, go about our jobs, and get from place to place. And yet, in our discussions with customers, we often encounter a wide range of misconceptions about what AI...
3 min read
At the beginning of 2023, we announced the launch of the Aioi R&D Lab - Oxford, a joint venture between Mind Foundry and our partners Aioi Nissay Dowa Insurance (ANDI) and Aioi Nissay Dowa Europe (AND-E). One of the projects the Lab has worked on is...
9 min read
Taking the leap from the world of academia to pursue a career within industry can be a daunting proposition. After years spent studying and gaining skills in a very focused area, going out into the world and applying that knowledge to a broad range...
6 min read
It’s hardly a secret that data is the lifeblood of the insurance sector. Some experts predict there will be over 30 billion connected devices worldwide by 2025, and the resulting explosion of data, coupled with huge leaps forward in the capabilities...
6 min read
Why do we expect more from machines than we do from each other? We lean on machines for so much, yet when it comes to judging their performance, we seem to have a double standard. A human can fail, time and time again, and still be forgiven. But...
4 min read
In our first blog in this four-part series, we discussed how Machine Learning (ML) models might be considered ‘trustworthy’, and we emphasised challenges in bias and fairness, the need for explainability & interpretability, and types of data drift....
