helping you master customer insight leadership

Divided opinion & common themes, on applying AI, from #FSFConference

Yesterday morning, I had the pleasure of joining (maybe almost 100) FS leaders to talk about AI. The event was the annual members conference of the Financial Services Forum. Held at the BT Centre in London, it was a great opportunity to hear from both futurologists & practitioner leaders. What interested me at this event was both the different emphasis (almost to the level of divided opinion), as well as.. Read More

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┬ámore 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