14 June 2021 A step-by-step guide on how to detect, outline and classify farm plots on satellite images. This article is part of a 2-article series about satellite images processing applied to agriculture.
3 June 2021 Learn how to improve customer satisfaction and create added-value using Google Contact Center AI. Read about the key outcomes of the webinar on March 30th presented by Matthieu Myszak - Data Consulting Director, Artefact and Julien Tribout - Sales Lead Google Contact Center AI.
30 March 2021 In this second article of the series of two, I will dive into the deployment and the serving of our models at scale.
25 March 2021 How we handled the training and the deployment of our FastAI models using AI Platform — Part I
23 February 2021 Where data was once used only to measure performance, revenue goals and conversion rates, today, companies with solid historical data can also use it as input for content creation. Daniel de Vos, Manager Data & Analytics at Artefact Netherlands explains how.
5 February 2021 In this article, Data Scientist Maxime Lutel sums up his learnings from the M5 sales forecasting competition, which consisted in predicting future sales in several Walmart stores. He will walk you through our solution and discuss what machine learning model worked the best for this task.
25 January 2021 By definition, search is one of the major levers of digital marketing. In this article, Vincent Laquerriere, Account Executive at Artefact, explains how to optimise your Google positioning strategy to stay ahead of your competitors, and how to maximise your use of Google campaign management tools by integrating data that’s important to your company.
7 January 2021 To see real returns on AI and Machine Learning investments, business leaders first need to understand the cause-and-effect relationships impacting performance. Siddharth Mohan, Senior Data Scientist at Artefact Netherlands & France, explains how Causal Intelligence can boost performance.
25 November 2020 In this article, Artefact’s Senior Data Scientists Kasra Mansouri and Camille Le Gonidec explain how to create a data science product with limited data and high business constraints. Find out how they were able to reduce product stock outs in hypermarkets with Time Series modelling.
