There are more and more events with the theme of artificial intelligence for entrepreneurs. I’ve commented on one in the past. In this article I want to give a general overview of the use of that broad tool, which is absolutely not exhaustive. Be careful, however, as I use the term artificial intelligence mainly for …
Artificial intelligence for entrepreneurs in 2025 Read More »
Some entrepreneurs and managers think of using AI for data analysis to reduce the cost of employees. But this practice has hidden costs that arise from an exquisitely psychological phenomenon, which can go hand in hand with others. There are various cognitive distortions or prejudices but in my opinion there is one that makes …
On LinkedIn you may notice ads for sales analysts and business analysts. Often these are non data-based companies. Here is an example ad: We are selecting a sales analyst figure to be included in support of Commercial Management. Duties: Carry out analysis of sales data to support the commercial management and the sales …
Before the popularization of statistics, which dates back to the 1980s (later for data science), companies rarely had computers. As a result, they navigated by sight and made decisions mostly based on intuition and experience. Simplifying, companies were based on people, calculators and printers, not on the data. I’ll immediately make a clarification: obviously …
How did companies make decisions before data science? Read More »
Those who are managers know that there are various ways to get an idea of the timing and cost of a project. Those who manage IT projects will be more familiar with agile methodology. I became familiar with agile methodology in a previous experience. In calls you would create a story, e.g., “the user wants …
Project management with data science: why yes and why not Read More »
There are various ways to represent a data stack, anatomically speaking. Texturally, I like docker compose, a feature of docker that allows you to attach various services together like LEGOs. Clearly it is not always convenient to have all the components of the enterprise data stack via docker. You will see the example of n8n, …
When you have hardware limitations on the enterprise server, that is, of number of CPUs, or computational units, RAM and hard disk, you are left with only software or/and organizational choices . Kind of like when you want to cover as many stops as possible depending on the bus fleet and a reasonable waiting time. …
Statistical models, according to someone part of artificial intelligence, explain a phenomenon of interest using other phenomena. They try to go from the particular (row of data, observation or sample) to the general. We NEVER have all the data, so as even the inductive turkey who thought he was getting food every day, except becoming …
Artificial intelligence, artificial induction or artificial deduction? Read More »
Here you will find various cases, with a varying degree of awareness, showing the symptoms of someone who needs to switch from Excel to a database, which could become the basis of a CRM, a particular database. Or they no longer need Excel’s programming language, VBA, to do routine operations. Or the extensions can no …
Most companies are aware of the security that comes with Excel and Google spreadsheets: by default they are private and sharing is done by email or email groups, for example with the company domain @whiteltd.uk. For web services in general, things get a bit more complicated. And not dealing with this issue can create major …
Protect your IT and statistical services and prevent online disasters Read More »
