The basis of AI, Machine Learning or any type of Analytics starts with a data-driven organization — Beginning with AI means you need a proper data culture to start with. AI is not magic, despite what many may still think. Before even thinking of AI, the data needs to be in order. You need documentation, policies, and most importantly a proper data culture. How to achieve this…

For business readers — Ever heard of model assumptions? What are they? And why are they important? A model is a simplified version of reality, and with machine learning models this is not different. …

Five steps to avoid these discussions — I have been in tons of meetings where data and results of any sort of analysis have been presented. And most meetings have one thing in common, data quality is being challenged and most of the meeting time is used for discussing potential data quality issues. The number one follow…

Don’t start with AI — Many companies want to start with “AI”, whilst this may sound like a good idea for marketing purposes, in order to generate business value from AI I recommend a different approach. Let’s assume you have your data available, you want to start using this data for the benefit of your…

I often get asked the question, how do I break into AI? — Here’s one way to do it. Many people want to work in AI, and most that start off their journey aspire to become a data scientist. Apparently the sexiest job of the century. The first thing they do is a Coursera course and then start working on Kaggle competitions, followed…

Are you responsible for kicking-off AI projects in your organization? And do you need to explain your AI use case to management? — In a previous post, I have written about how I spoon-feed management step by step. Once they understand the gist of AI, and I have an AI use case to pursue internally. It is time for setting up that first meeting to introduce my use case. …

What is it and why do we all need it? — Not many people truly understand AI, what it is, and what it takes to make it work. Many organizations have started but don’t really know how to make it work and many data scientists are frustrated in their job. We need to do something. About forty years ago we were…

Does your manager think AI is just a machine where you put in data and produces an output automatically? And are you tasked with making AI work in your organization? Then this post is for you. — I have to be honest with you, you better be in your job for the long run. I hope you are passionate about the company you are working for and are excited about AI. …

I am on a mission to make data scientists happy (again)… And at the same time to help companies generating true business value with AI… This is a summary of a talk at the Applied Machine Learning Days at the EPFL in Lausanne Switzerland in January 2020. …