When the automatic time-series techniques can't produce adequately forecasts, a tool should be equipped with multiple machine learning techniques.
The more information they have to learn from, the better. Naturally, this will not allow you to predict global pandemics or financial collapses.
In the future this kind of data analysis can help to make an even better exoskeleton!
Enterprise architects are those responsible for planning and delivering the IT capabilities for the business. This is key to digital transformation. However, in every business, their role is slightly different. I caught up with Ryan Kennedy (RK) and Adrian Mattioli (AM) from NedBank to talk about their work, and how
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
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
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
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,
