helping you master customer insight leadership

AI ethics (1) Machine Ethics and Artificial Moral Agents

AI ethics

Time for us to consider AI ethics, not just AI developments. Continuing our focus on themes that emerged at recent Data Leaders Summit, let us consider the AI ethics problems posed by this developing capability. This builds upon our recent post about the emergence of Product Manager roles within Data Science teams. Another key theme at that event, was the need for Data & AI Ethics. A debate on this.. Read More

AI misdescription and real world applications from Asia

AI misdescription

In between blogging, from the two events I recommended, let’s return to the challenge of AI misdescription. As I shared in my review of Tony Boobier’s new book, he calls out the problem of mis-labelled AI. That is analytics or even BI applications being called AI, mainly because it is fashionable. Below, Tony returns as a guest blogger, to not only confirm that this is still the case, but also.. Read More

Sharing takeaways from the Rise of AI conference, Berlin 2018

Rise of AI conference 2018

Building on the lessons we learnt from Tony Boobier’s book on AI & work, let’s hear more about the Rise of AI. At the start of a month when I will be chairing and attending events, I was delighted to receive Francesco Corea‘s debrief. In this post, he shares his learning journey while attending the Rise of AI conference in Berlin. Francesco has shared before his overview of the InsurTech.. Read More

The future of AI and your working life – start planning

future of AI

The future of AI & threat to our jobs is a popular topic for news recently. But here is a positively helpful book to help you respond. Unlike so much that is written on this topic, Tony Boobier‘s latest book focusses on a positive response. It also investigates the implications of AI at a deeper level than most analysis. Whilst many books have been written that focus on explaining AI,.. 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

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