helping you master customer insight leadership

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

When a Customer Wins, Nobody Loses… no, honestly

customer wins

Continuing our month focussed on book recommendations, let me share one about how the Customer Wins. These topics are not disconnected from last month’s GDPR topic. As we’ve shared before GDPR should be a positive customer benefit. As well as being a business benefit, when approached in the right way, GDPR is at root about empowering people/customers. But, more widely, all is still not well in the CX garden. Despite.. Read More

How can you make your customer research faster? Should you?

research faster

“Why can’t you get me that research faster?” That is perhaps the most common challenge I hear is faced by research leaders. I pointed out, in a post of ‘research as fashion‘, that a common theme in case studies, was the challenge to get research faster. So, as promised, this post will share a number of relevant posts and resources on that topic. Let me first state that faster is.. Read More

The average week of a Data Scientist, hearing from one on what they do

average week of a data scientist

As we come to the end of a month, focussed on Data Science, lets hear about the average week of a Data Scientist. On this blog, we seek to get past the spin & platitudes of much advertising on data science. So, I’m delighted to bring you a new guest blogger, to share his reality. Chris Bose is a Data Scientist, running a small technical PR company, In Press PR. As.. Read More

IoT automation part 2: how to automate decisions, using 4 building blocks

Continuing our two-part series, on automating Internet of Things (IoT) applications, we turn how you can automate decisions. I’m delighted to welcome back, guest blogger Akeel Attar. As Akeel shared last time, automating IoT applications requires more than just Decision Science. There is a key role for business rules and the elicitation of human expert knowledge. But many businesses, see the real potential of AI and IoT, as the potential.. 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