I get asked a lot of questions by customers at all levels. They want to know how to solve their problems, and it is part of my role to help them find answers. The range of questions is extremely broad. Data scientists want to know how they can improve collaboration
New technologies promise to achieve what no politician has yet managed in the 70-year history of the UK’s National Health Service (NHS): improving patient care while simultaneously saving money. In the government’s 10-year-plan announcement this month, far-reaching new technological measures were announced. They demonstrate just how key digital transformation will
May you live in interesting times – or so the old Chinese curse goes. Well, we’re certainly doing that. In 2017, the global economy was firing on all cylinders, and things weren’t looking too bad. Since then, a mixture of protectionism, the Sino-US trade war and economic uncertainty has changed
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
This post is the second in a series on data preparation based on a webinar about its role in the analytical life cycle. The first discussed how data preparation fit into the analytical life cycle. This post considers some trends in data preparation and some of the structures and processes
