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  1. This article is the write-up of my Talk at the Paris Machine Learning meetupThe hardest feature in production RAG is not retrieval.

  2. The Complete Guide to Agentic AI in 2026: From Chatbots to AI CoworkersA plain-English introduction to what AI agents are, how they work, and why everyone is suddenly talking about them.A few years ago, the main question was simple: “What can ChatGPT answ…

  3. AI: "It's raining cats, dogs and pitchforks"

    A survival guide for the AI flood nobody asked for but everyone is drowning inLet me start with a small historical detour.

  4. For the past few years, I have been teaching data visualization to data science students at Université Paris Cité at the IUT de Paris — Rives de Seine.

  5. The Complete Guide to Python Data Visualization LibrariesPython has become the go-to language for data visualization, and for good reason.

  6. The 5 Golden Rules of Data Visualization

    Bad data visualizations are not just ugly.

  7. Some words of wisdom

    While listening to podcasts, reading a book or scrolling through social media, some random quotes stick with you.

  8. Prompts I use to 10x productivity and time gain

    Prompts I use to 10x my productivity and time 5 Advanced LLM Prompts To Make Life Easier Why These Prompts Are Actually Useful Not being able to find time to share stuff is a hugle buttleneck.

  9. Tech minimalism with TinyCore

    Hola!

  10. On mindfulness

    It does not take saying too much, introducing the topic or blabbing for 10 minutes.

  11. Being pro-technology and innovation working in the digital world, I often get excited about new tech and quickly find myself installing and testing new apps and software.The digital space of taking notes and managing a todo list has been exploding with new

  12. A year's worth of reflexion

    Writing on this blog has consistently served as a means to regain focus, delve deeply into intriguing topics, and hone the organization of my thoughts and ideas.Over the years, I've taken several breaks from blogging to concentrate on personal development,

  13. Open Banking 101: from a costumer's perspective

    Open Banking 101: from a costumer’s perspectiveFollowing the first part of this article series about Open Banking, this second part is built a little bit different.We have seen in the previous part a straightforward definition of the concept of Open Banki…

  14. Open Banking 101 : Leveraging Opportunities & Disruptions

    The banking and financial services industry has undergone a significant transformation due to the rapid advancement in technology and digitalization.

  15. My Style'Z web app [Style transfer in action]

    Sometimes you start playing with an idea, time passes and you end up with a project that you need to finish.I am sure this is not the case with most people, however this describes perfectly the process with which I've made the StyleZ app.I have always been

  16. #KohLanta : Finale de la saison 2021Koh-Lanta est aujourd'hui un programme incontournable du paysage audiovisuel français.

  17. On the hype around #DataScience

    Here is my latest twitter storm about the death of Data Science..

  18. The Procession of the Trojan Horse in Troy by Domenico Tiepolo (1773) First things first: could someone remind me of the main goal (or goals) of using Linkedin as a professional social network?

  19. Text Visualization : Come and get inspired !!

    Doing data viz on some types of tasks can be difficult, especially when ordinary line, bar or pie charts will not do enough job explaining the ideas we want to convey.Text in particular, is a bit delicate to represent with the traditional techniques.

  20. On the importance of using Docker 🐳

    I have always talked about the importance of adopting agile methodology in analytics projects.

  21. Over the course of history, the world has been through various crisis and chocs.

  22. Fighting Churn and Building Loyalty [Part 4]

    The Oath of Horatii by Jaques-Louis Davis.

  23. It has been over a year...

    Or more, i guess I decided to take a break from social media, blogging, sharing and interacting with online communities ( not a full break, because I did some stuff here and there...)

  24. Why there are so many Imposters in Data Science?

    Over the past few years, We have all witnessed an explosion in the number of articles, videos, online courses and job offers that are all talking about "Data Science" and Data scientists".

  25. How to Reduce churn?