Learn in this article how we industrialized a solution for warehouse demand forecasting to help Operations managers better allocate resources for more than 20.000 referenced products
This article describes one of the inspirational patterns that drive our projects’ data architectures, the Data Mesh.
In this article, learn how to create your first datalake following best practices in order to make it robust, evolutive and central to your company's information architecture, as well as take advantage of the opportunities it presents.
How do Automatic Machine Learning solutions work? What are the most popular AutoML solutions out there, and what do you need to know about them to make the right choice for your use case? Find answers to these questions and many others in this article.
Read this article to see how and why Ekimetrics organize hackathons to foster creativity, innovation and team work in our Data teams. Also learn important tips for organizing your own hackathons.
Enrich your understanding of customer journeys through clustering using image embedding, autoencoders and unsupervised learning.
We created Pyepidemics, an open-source library to simulate epidemics (SIR, SEIHDR, COVID19). We detail in this article what you can build with the library.
A practical use of Reinforcement Learning and the Q-Learning algorithm to solve the Traveling Salesman Problem
Learn the basics of application deployment from simple examples on Heroku to creating Docker containers