helping you master customer insight leadership

Machine Learning ethics (2) can you design ethical behaviours?

Machine Learning Ethics

Continuing our series of two posts on the topic of Machine Learning Ethics. In part two of his series on this topic, guest blogger Francesco Corea, moves on to consider moral accountability. How might an accountability, to act in an ethical way, be codified into algorithms or complete machine learning products? Drawing on sources as diverse as the World Economic Forum & MIT Technology Review, Francesco guides us through some.. Read More

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

Audio interviews with Customer Insight Leaders: (4) Gwilym Morrison

Gwilym Morrison interview

Time for another of our audio interviews, with senior Customer Insight Leaders, this time it’s Gwilym Morrison. A great conversation with Gwilym, who leads Data Science at Royal London Group. So, a good opportunity to complement the data, BI & analytics focus of leaders interviewed already. This time we get to hear the perspective of a Data Science leader. Gwilym has both practitioner & leadership experience and shares honestly from.. Read More

What is the customer reaction to GDPR telling us about our data culture?

data culture

It’s been several months now since we’ve talked about GDPR, so has it changed your data culture? Having previously shared 2 blog posts on “how to avoid being bitten on the bum by GDPR“. We also shared posts on a GDPR toolkit & final priorities when nearing the deadline. In the run up to GDPR, I helped a few firms understand and audit their GDPR readiness. So, 6 months later.. Read More

Do you need a Data Science Product Manager in your team?

Product Manager

I mentioned in a debrief from the latest Data Leaders Summit, the rise of the Product Manager role within Data Science teams. This was one of a couple of themes that took me by surprise. Over recent years I’ve become used to hearing about need for more Data Engineers or Analysts to complement Data Scientists. But the focus on Product Managers & product development life-cycles was a new one on.. Read More

Avoiding wrong statistics, measure what matters to customers (part 2)

matters to customers

This is part 2 of Gerry Brown’s series on baseball, I mean why you need to measure what matters to customers. As we heard in part 1, it is all too easy to go with crowd and just measure what others businesses value (you can decide if that’s NPS). Gerry’s advice builds on our month of advice about applying analytics. Annette Franz shared why predictive analytics matters for CX leaders… Read More

Don’t neglect the political dimension of applying analytics or insight

political dimension

To complement recent advice from our guest bloggers, let’s consider the political dimension of applying analytics in business. Annette & Peter have shared useful tips on applying analytics for both CX & Marketing. However, unlike the classroom, advancing such use of analytics in business always involves politics. Over the years, as well as protecting technical stars from performance management systems, I have often had to mentor them on politics. There.. Read More