With the explosion of interest in AI across businesses of all kinds, particularly in traditional industries, the emergence of new platforms and solutions have helped make AI more accessible. The

At the heart of it, the purpose of analysis is to drive better actions through informing better decision making. In this article, I will focus on one of the most

A few months back, we shared a series of articles to help analysts and data scientists choose their next role (parts 1, 2, 3 and 4). Here, I expand on

Many organisations are forced to take a leap of faith. Under pressure from consumers or shareholders they know they need to transform, but they might not have the comprehension, capability,

This is the time of year where many of us find ourselves reflecting on our performance. Did we stick with those New Year's resolutions, or not? Did we achieve what

When a business reaches the point when it decides it needs dedicated analyst or data science capabilities, one of the first questions that gets asked is ‘where should we put

In my fifty weekly posts so far this year, almost every single one has advocated for the application of analytics and artificial intelligence (AI). While this is often the most

As we reviewed last week, building an impactful data, analytics, and AI capability requires a range of new roles and competencies. While the scope and responsibilites of roles such as

What does it take for an organisation to be able to perform analytics in a scalable (read: beyond Excel) manner? When I worked at Google, my instinctive answer would have

Over the last few years there has been an increased focus on data ethics. People are waking up to the fact that in many cases it is their data and

Welcome to the final part of our four-part series on choosing your next data science or analytics role. We have covered a lot of ground so far: from choosing the

Welcome to the penultimate installment of our four-part series on choosing your next analytics or data science role. So far we examined Location & Timing in Part One, and Industry

Welcome to Part Two in our four-part series on choosing your next data science or analytics role. In Part One, we looked at the question of role Location & Timing.

While jobs in analytics and AI can be both exciting and lucrative, employee attrition in these roles tends to be high. It is not uncommon to see data scientists move

Arriving in a new country, you are faced with a lot of differences in customs, traditions, and culture. These changes are heightened when you move to a new region entirely.

I am certain that I have on more than one occasion mentioned how important it is to consciously make decisions. Because analytics is the art of making better decisions using

As demonstrated by the global demand for talent, most organisations have now woken up to the importance and potential impact of data, analytics, and AI. Yet discussions with employees across

At work I spend a lot of time thinking about machine learning (ML), both in terms of how to apply it and the practicalities of enabling an organisation to do

We like to think that this blog, while born out of a trivial New Year’s resolution, has managed to become a reasonably serious outlet. That said, we fully appreciate

In a quote frequently misattributed to W. Edwards Deming, one of the fathers of process improvement, ‘In God we trust. All others must bring data.’. But what if someone brings