Technologies have come and gone since the first Industrial Revolution. We have always (or almost always) started out suspicious, then absorbed them, used them and built on them to do more work, more efficiently. Somehow, though, artificial intelligence (AI) is different. It feels like there is more fear about its impact, and
There is general agreement that the electricity and energy market is changing in a wide variety of ways. There is, however, less agreement on the likely effects of these changes. This makes it extremely hard for energy companies to know precisely where to target investment, but there are ways of
Each of us is defined and shaped by a combination of our experience and our genetic makeup. The precise balance of nature and nurture is not clear, but it is probably fair to say that as we get older, experience may become more important. This is crucial to being able
New technologies offering new ways to solve complicated and costly problems are entering the health care sector . Artificial intelligence (AI) is one of them. To succeed with AI, you need to think in an analytical manner, to build an analytical organisation and, as a part of that, you need an analytics
No entusiasmo e hype à volta da inteligência artificial e do big data, a maioria de nós perde de vista os aspectos críticos relacionados com a recolha, processamento, manipulação e análise de dados. É importante que quem pratica a ciência dos dados compreenda estes aspectos críticos e adicione um toque
The Danish government wants to increase the quality of health care treatments by measuring 25 selected indicators based on eight national values within health care. The purpose is to make it easier for local health care professionals to improve the quality of their work. In 2016 the Danish government introduced
Although artificial intelligence (AI) has been around since the 1950s, we are currently riding the peak of the Gartner Hype Cycle. Separating the reality from the hype has therefore become a challenge. There is no question that machines can automate more human tasks than ever before, but with this promise,
The democratisation of analytics is apparent when you consider who is involved these days. SAS has been doing statistical analysis for 40 years (without the aid of big data in the early days) and had algorithms for machine learning in its portfolio long before machine learning was a buzzword. In
Did you know that whether you own a car, and the colour of your car, can give some very interesting insights into whether you will pay your taxes? This may sound unlikely, but recent work with a European national tax office using some highly detailed data found some fascinating connections.
A restaurant cannot survive without customers. It does not matter how cutting-edge or delicious its food, or how many Michelin stars it has earned. The equation is simple: If it has no diners, there will be no income, and the restaurant will go out of business. This insight could be
