This article focusses on time-variant manufacturing processes, and how analytics can help boost their productivity. Many production lines relying on such processes are involuntarily operated using a suboptimal combination of input control settings most of the time. This weakens overall returns at facilities such as steel mills, mines, chemical and
The agreement on the regional economies for 2016 states that hospitals in Denmark will develop tools “that support common decision-making, skill development, and systematic use of patient-reported data (PRD)” by the end of 2019. The work is well underway and the new and more detailed goals mean that we’re now
There is a buzz about ‘real-time’ analytics and its likely impact on decision-making, customer relationships and profitability. It is, to be fair, new and exciting, and therefore undeniably attractive. Part of the excitement may be because everyone can see the potential, and the cynicism has not yet set in. The
Here in Canada, we find a data scientist is a wondrous, near-mythical creature. We have all heard the long list of skills required to be a data scientist. For example, software engineer Josh Wills of Slack defined a data scientist as “a person who is better at statistics than any
Hackathons are widely acknowledged to be very good value for companies that support and sponsor them. They help to encourage innovation in several different ways, including through bringing in new talent and new ideas. Especially in older, more established firms, the benefits of shaking up the culture slightly cannot be
Conveying an individualized customer experience in real-time drives income today. Be that as it may, most organizations are attempting to get this right. As everybody knows, giving extraordinary customer experience (CX) is not an absolute novelty; it has dependably been the bedrock of business. What is new is that the
What is the ideal training and development programme for data scientists? Discuss. This ‘exam question’ crops up time and time again in discussions with students, academics, data scientists, and across the business community. This is in large part because in a fast-moving field like data science, the quality of training
Artificial intelligence (AI), machine learning and deep learning are currently some of the hottest topics around. There are good reasons for that. Apps, software, machines and vehicles are getting smarter. We talk to our smartphones. Cars will soon be able to drive themselves. Automatic translation from one language to another
From spud to completion, during the drilling phase, operators can face any issue that would jeopardize well integrity, delay time to completion, expose people or equipment to excessive risks and likely to increase costs. In a sector where safety to people and equipment is key to operate, industrials have long
Data science continues to become more and more critical, especially in the education sector. There is an ever-growing need to encourage and persuade younger generations to choose a career pathway in STEM areas from an early stage in their education, not least because organisations are struggling to find the analytical
