Text analytics: Theoretically, a telecoms company, say, could use topic modelling to look at product reviews divided into themes.
Seconds are passing us by at this very moment, and there's not much you can do in one second. Well, there is something. Let's say smile, take a deep breath, close your cellphone and say thank you. Within a second you can also make decisions: click the buy button in
A blog article by Ali Alajme , Director of Health Information Systems, Ministry of Health & Prevention Bashar Balish, Senior Director & Client Leader - Cerner Middle East & Africa Marcel Yammine, General Manager, Gulf and Emerging Markets (GEM) - SAS Digital transformation of the healthcare sector has seen
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
