We will show you how to utilise data science techniques to analyse motor insurance claims.
Following the recent competition hosted by the AI Crowd (with Actuartech as one of the sponsors); where competitors acted as an insurance company - building a pricing model and competing against other players (other "insurance companies") for profit. In other words, the player that maximises competitive profit was the winner.
This presentation aims to show practical steps to embark or advance on a data science journey in Python. The presentation will show examples from each step of the data science pipeline from importing and cleaning, model building and testing, to visualisation.
This presentation aims to show practical steps to embark or advance on a data science journey in R. The presentation will show examples from each step of the data science pipeline from importing and cleaning, model building and testing, to visualisation.
We are pleased to present two non-traditional insurance use cases that are challenging the norm with the use of innovative AI solutions; leveraged from cutting-edge technologies in wider fields.
Actuaries and their organisations are facing significant challenges in an ever changing world, especially in the midst of a global pandemic.
As a result of COVID-19, the insurance industry is being affected through the combination of lockdown measures, changing product demand, increased mortality, health & event cancellation claims, & volatile financial markets, among others.
A brief history of Insurtech and how it is likely to develop in the future. We also explore the application of image, video and audio in the financial services industry and in insurance.
Actuartech and Montoux are collaborating on a content series that digs into the heart of what the modern actuary looks like, the challenges and opportunities facing the profession today, and what the actuaries of tomorrow could look like.
AI has become more and more popular within the financial industry, and many insurers have started out on their AI journey. We will talk about some of the worries around delegating decisions to machines, and how to overcome some of these challenges.
The challenges faced at the moment given the global pandemic is causing actuarial teams to change their operating models significantly. How ready have we been for this change and what issues have we been experiencing?
Explainable Machine Learning Machine learning techniques have become more and more popular within the financial industry mainly because of the potential to capture complex interactions from data the potential for better predictive models than traditional statistical models the ability to capture non-linear interactions within a range of inputs
A huge increase in data generation, data capture and data storage combined with significantly increased computing power is providing insurers with a unique opportunity to re-evaluate the value that their data can provide; and the technologies available to do that.
We are here to answer your actuarial technology and data science related questions – simple or complex! Drop us a line, and we’ll get back to you.
We provide case studies and Assignments relevant to actuarial work; and based on relevant datasets provided.
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