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
If you’ve been a regular reader of my musings over the years, or heard me bring these thoughts to life in-person at an event or during a webinar, you’ll know that I like to rely upon a few tried and tested phrases. One of my favourites is “’x’ [insert technology
We already know that work and workplaces are changing. But what do these changes mean for the skills that students should be developing to improve their employability? Previous generations had a simple recipe for success in their jobs: They chose a profession, acquired foundational knowledge and slowly became an expert
Employability in general, and in data science in particular, means your skills must adapt to business needs. Thomas Davenport and D.J. Patil described data scientist as “The Sexiest Job of the 21st Century” in 2012. Since then, understanding has grown that businesses across industries need employees who can work with
There is general agreement that employment is changing. There is, however, much less agreement about precisely how it will change, although plenty of crystal-ball gazing has gone on. A study published by the World Economic Forum in 2016 suggests a rather nuanced situation with employment fluctuations likely to vary considerably
Recently I have been thinking about data preparation, but not just any kind of data preparation. I have been thinking about the preparation required for advanced analytics and predictive models. Recently, I had to explain the process of how to create this data and this proved to be somewhat challenging given a
