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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!
Les institutions gouvernementales que ce soit pour la défense, les transports, les services publics, la sécurité, ou les soins de santé ont un défi et une opportunité à traiter : donner un sens à d'énormes volumes de textes non structurés qui ne font que croître. Plus de 80 % de
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