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Artefact Engineering and Data Science

Artefact is a tech company dedicated to solving data challenges by combining state-of-the-art Machine Learning and advanced software engineering. We leverage our business knowledge to deliver tailor-made solutions and bring value to our clients. www.artefact.com @ Artefact

  • Forecasting
  • NLP
  • Engineering
  • Computer Vision
  • Data Marketing
  • Open Source
  • Perspectives
  • Careers
  • How we deployed a simple wildlife monitoring system on Google Cloud

    How we deployed a simple wildlife monitoring system on Google Cloud

    Our journey in designing and building an ML system for Smart Parks
    Go to the profile of Simone Gayed Said
    Simone Gayed Said
    Feb 1
    Deploying Stable Diffusion on Vertex AI

    Deploying Stable Diffusion on Vertex AI

    Stable Diffusion deployed in your house, for better safety & personalization
    Go to the profile of Tom Darmon
    Tom Darmon
    Jan 26
    All you need to know to get started with Vertex AI Pipelines

    All you need to know to get started with Vertex AI Pipelines

    Sharing our experience using Vertex AI Pipelines in a project running in production
    Go to the profile of Yague Ndoye Thiam
    Yague Ndoye Thiam
    Jan 18
    dbt coalesce 2022 recap

    dbt coalesce 2022 recap

    This year’s edition was taking place in New Orleans. And as in the past editions, we learned a ton about the analytics engineering…
    Go to the profile of Benoît Goujon
    Benoît Goujon
    Oct 21, 2022
    Snowflake access management at scale

    Snowflake access management at scale

    How we automated the management of an account with more than 50 users while complying with data governance standards
    Go to the profile of Benoît Goujon
    Benoît Goujon
    Oct 6, 2022
    Forecasting something that never happened: how we estimated past promotions profitability

    Forecasting something that never happened: how we estimated past promotions profitability

    A guide on how to use counterfactual forecasting to estimate the cost-effectiveness of past in-store promotions in retail.
    Go to the profile of Luca SERRA
    Luca SERRA
    Sep 29, 2022
    Bayesian Media Mix Modelling with limited data

    Bayesian Media Mix Modelling with limited data

    Or how not to waste prior knowledge
    Go to the profile of João Henrique Romeiro Alves
    João Henrique Romeiro Alves
    Aug 29, 2022
    NLP
    Serving FastAI models with Google Cloud AI Platform

    Serving FastAI models with Google Cloud AI Platform

    How we handled the training and the deployment of our FastAI models using AI Platform — Part II
    Go to the profile of Amale Elhamri
    Amale Elhamri
    Mar 31, 2021
    Automating the training of ML models with Google Cloud AI Platform

    Automating the training of ML models with Google Cloud AI Platform

    How we handled the training and the deployment of our FastAI models using Google Cloud AI Platform — Part I
    Go to the profile of Sacha Lasry
    Sacha Lasry
    Mar 17, 2021
    Forecasting
    Is Facebook Prophet suited for doing good predictions in a real-world project?

    Is Facebook Prophet suited for doing good predictions in a real-world project?

    This guide will help you figure whether Prophet is appropriate or not for your forecasting project
    Go to the profile of Hugo Vasselin
    Hugo Vasselin
    Mar 17, 2022
    How did we predict sales for products with almost no historical data (launches)

    How did we predict sales for products with almost no historical data (launches)

    The path to developing a high-performance demand forecasting model, Part 4
    Go to the profile of Kasra Mansouri
    Kasra Mansouri
    Nov 25, 2021
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