The Universal Language of Analytics Paid Members Public
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. Even in a cosmopolitan city like Dubai, where English will get you far, you will miss a lot if you
Why I Am Starting My Job by Stopping Paid Members Public
This week I started a new job. As this is a role at a different company and in a different country, this means a lot of change. Many people have asked me how I feel. Truth be told, this transition might be three quarters exciting, but it is also one
The Importance of Knowing When You Are Ready to Make a Decision Paid Members Public
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 data, this involves both having the data and appreciating that a decision needs to be made. I do not say
How to Convince Your Management to Take Analytics & AI Seriously Paid Members Public
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 for-profit, non-profit, and governmental organisations have exposed an interesting paradox. Even in those cases where their executive teams have decided
Back to School: Three Things I Learned From a Machine Learning Nanodegree Paid Members Public
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 so. Occasionally I even stand on stage and talk about the subject at conferences, lamenting the fact that deep learning
Evidence Shows That When Making Decisions, People Hate Experiments Paid Members Public
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 that today’s post might read like satire, so unbelievable is the topic. It concerns a study published in the
Ask and You Shall Receive - Dealing With Hard Facts Paid Members Public
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 data and we don’t like what the data tells us? Dealing with the results of analysis when it doesn’
If You Are Serious About AI, You Had Better Get Serious About Data Quality Paid Members Public
Ah, data quality. Almost as unpopular a cocktail party topic as data governance. Yet like that walking punchline Chandler Bing [https://qstar.ai/the-one-where-friends-least-popular-character-ended-up-with-the-sexiest-job-of-the-21st-century/] , data quality is about to enter its defining decade. It will most certainly have the last laugh. This is because you cannot build AI products that