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

Alan Turing Institute annual lecture – Better Living through Trusted Data

When Harry Powell shared, that he was planning to attend this year’s Alan Turing Institute annual lecture, I naturally asked him to blog for us. Harry is a very experienced Data Science leader, having created & led Data Science teams at several businesses, including Barclays. So, I was interested to learn more about his interest in a lecture from Prof. Sandy Pentland of MIT. As someone with a background in.. 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

2018 technology trends for leaders to consider, looking inside

Following on from our post on technology trends for leaders to consider, based on consumers, let’s look inwards. By that, I mean let’s consider both the needs of today’s organisations & technical innovations less visible to consumers. In this post, we will update you on progress with blockchain. You may recall, our posts explaining this & asking the key questions for analytics leaders. We will also consider how AI can.. Read More

Listening to 31 Data Scientists and Seeing 10 companies’ applications

To complement the perspectives of our recent guest bloggers, today I’m sharing three ways of listening to data scientists. These will include a (potentially) free recommended eBook, an engaging blog post and a punchy video. Peter, Robert & Francesco have made a case for data & AI potentially transforming businesses & sectors. As part of our month focussed on applications of data & analytics, I also want to share real.. Read More

InsurTech: bucking the trend of cautious insurers with AI innovation

How close are you to the AI innovation happening within the InsurTech sector? To promote debate, and deeper thinking amongst Customer Insight Leaders, this post balances our last one. Apparently contrary to that review (shared by SMA), in this post we look at lots of insurance innovation. The reason for the difference is a focus on the InsurTech sector. But, there are notable examples beyond InsurTech too, including recent use.. Read More

Is that tempting technology really useful to your business?

Unless it proves useful to your business, it was a distraction. Recent posts have focussed on advice when using Data Science or Data Visualisation. Now it’s time we returned to focussing on commercial realities. One lesson, I learned as a senior customer insight leader, was not to get distracted by what one CEO called “hobbies”. By that, he meant ideas, passions or technical innovations that, whilst interesting, are not relevant.. Read More