helping you master customer insight leadership

5 tips, to spot the AI jobs you should avoid, in 2018

As we focus more on Data Science this month, let’s consider AI jobs. There has been much media debate on whether or not the rise of Artificial Intelligence (AI) will take away jobs or create new ones. Pessimists & optimists have battled it out, all the way from the uniformed to the late great Prof Stephen Hawking. So, to shed some light, on the topic of AI jobs, and considerations.. Read More

Why automating IoT needs rule elicitation, not just Data Science

Focusing on how to design & develop your teams, this month, reminded me of rule elicitation work I did over 20 years ago. We have previously focussed on the breadth of skills, including different technical skills, needed within an analytics team. As well as the modern passion for new role titles (Data Engineer, Data Journalist etc), it can be worth learning from the past. Back in the early 1990s, I.. Read More

What do you need to know about Machine Learning?

As we enter conference season once more, perhaps like me, you’re getting used to regular emails. Many contain advertorial content on Data Science, Internet of Things or more rarely Machine Learning. Perhaps it is an indication that corporate life is more conservative, that Analytics and Big Data are still more prominent terms. I’ve yet to hear a Financial Services executive focus on Machine Learning as a key part of their insight.. Read More