In June 2022, Open AI released a new AI system called DALL-E 2, which can create realistic images and art from a description in natural language. Since then, this system has generated a LOT of keen interest amongst the data science, AI and artistic communities worldwide. The reason for this…

On June 27th 2022, Yann LeCun, one of the godfathers of artificial intelligence and Head of AI at Meta released his vision on how to build autonomous AI systems. Here is the link to the paper. First of all, I really suggest you to read this paper. As mentioned…

Delivering an AI system is hard. This is why you need a high-performance team with complementary talents and skills. — What is the optimal team to deliver AI projects successfully? It is a complex question to answer. It will vary depending on the type of project and the type of organization you work for. …

Using one or two performance metrics seems sufficient to claim that your ML model is good — chances are that it’s not. — It’s crazy how difficult it can be for Data Scientists like myself to evaluate ML models using classic performance metrics properly. Even with access to multiple metrics and scoring methods, it is still challenging to understand the right metrics for the problems I — and likely many others — am…

We have all reacted like this at one point once we looked at the available data prior to a data science project. I wish I could develop a statistical models and AI but I lack data :( One of the most important issue that companies and Data Scientists need to…

Lately, machine learning, deep learning and other concepts which relate to data being used in order to adapt itself automatically have been very popular. Although this is pretty cool to be able to make an algorithm adapt itself automatically and this can be practical in some situations when humans do…

An analytics expert, a data analyst, uses data science for marketing, sales, and data visibility across the organization. That’s exactly my role: I help to better understand and define the environment in which we work to make the most of it. Previously, I had the chance to work for several…

What gets measured gets done. It is especially true these days with the availability of data at low cost and the wave of new technologies which enable us to analyse data more in depth. How can we tell if my product development is efficient? Is my new software release successful? …