Hidden Insights
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The Economist magazine takes pride in its ability to provoke deeper thinking. One of its campaigns was to ask people to taste weird-looking foods, such as smoothies made from “ugly” produce that had been rejected by supermarkets. The idea was to stimulate participants to reassess what was important to them.
As Malcolm Gladwell reminded us at the World Business Forum There is a time to innovate and a time to reap success. History, both recent and less recent, is full of examples of great innovations that had to wait years, if not centuries, to become successful. Why was this, though?
So, you want to compete and become a data-driven organisation, like everyone else in your market? Increasingly, organisational use of analytics has moved beyond process improvement, as analytics maturity increases. The most advanced organisations are now using data and analytics to generate new business models, products and services. In practice,
It suddenly seems as if artificial intelligence (AI) is all around us. It is already having a huge impact in a wide range of sectors, including health care. We are now starting to see it move into the manufacturing sector as an important part of Industry 4.0, the digitisation of
In my previous post, I suggested that it was possible to provide a road map that would help with the introduction of artificial intelligence, advanced analytics and machine learning into insurance companies. This post outlines the process. Start at the beginning The first area to address is applications where the
Recently, as a result of the EU’s General Data Protection Regulation (GDPR) and other regulations, new governance requirements for data management have emerged. These have had some interesting effects on the data preparation process. This post is the third in a series on data preparation (Data preparation in the Analytics