Students make exoskeleton smarter with data analytics
In the future this kind of data analysis can help to make an even better exoskeleton!
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L’analyse textuelle et le secteur public
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
From big pictures to hands-on work, enterprise architecture is evolving
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
The evolving role of actuaries for insurance innovation
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
Analytical competence needed to drive innovation in Poland
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
Raus aus der Vision, rein in die Matrix AI#28
Mit Hans-Peter Zorn, AI-Influencer und Praktiker, im AI Talk.
Innovation accelerators need strong analytics architecture to drive scale
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
Mes Frankenstein, ou apprendre de ses erreurs et les corriger
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
Transforming Actuarial Work With Better Risk Modelling and Dynamic Pricing
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
Which skills will dominate in the intelligent decisioning era?
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