Digitalization, big data and AI are changing the role of insurance and, therefore, the role of actuaries. A lot of reports – like McKinsey’s Insurance 2030, Deloitte’s “The Exponential Actuary," or the Big Data and Insurance report by the Geneva Association (a leading think tank of insurance CEOs) depict aspects
Innovation is currently an extremely desirable feature for every country. However, a ranking published by the European Commission shows that Poland is struggling to create an environment that supports development. Development and innovation need people with competence in new technologies, such as analytics. Last year’s Modelling for Business conference showed
Mit Hans-Peter Zorn, AI-Influencer und Praktiker, im AI Talk.
What analytics architecture is needed to support an accelerator? I have recently been working with my colleague Jussi Martikka to extract lessons from the City of Helsinki’s AI Experimentation Accelerator work. We used the steps of the accelerator process to define the analytics architecture needed. This was a useful way
Je m’appelle Franck. Je suis consultant. Depuis 2003, j’accompagne de grands établissements pour renforcer leurs dispositifs de lutte contre le blanchiment (AML) et le financement du terrorisme en déployant des progiciels. 17 ans sont passés, ils fonctionnent toujours. Problème : ils sont devenus des monstres ! Je prends conscience de
Whenever I talk to actuaries across EMEA, they are very consistent in the many anchor points they see for actuarial modernization in order to be future-proof. In this article, I would like to share some of them. Anchor points for actuarial innovation The most time-consuming task is, of course, getting
The popular image of data scientists is very much a bit of a geek or nerd. However, that’s not strictly accurate. It may not be – as Harvard Business Review famously suggested – the sexiest job of the 21st century. But it is a long way from the perceived world
Claudia Kleinert, die Frau von den ARD Wetternews, im Gedankenaustausch.
To get 100% right at a test is something that does not happen every day. But it is achievable. There are different ways of getting a high score and here is one example. Laurent Barmaverain - a business intelligence and data science master's degree student at the university of Turin,
The pandemic may have other implications for manufacturing. For example, we could see factories moving away from a reliance on physical labour.
