Le pont entre la data, l’économie, la société et la planète

In today’s dynamic and ever-evolving tech industry, a career track can often feel like a winding path through a dense forest of...

This article introduces LLMOps, a specialised branch merging DevOps and MLOps for managing the challenges posed by Large Language Models (LLMs). LLMs, like OpenAI’s GPT, use extensive text data for tasks such as text generation and language translation.

LangChain has become one of the most used Python library to interact with LLMs in less than a year, but LangChain was mostly a library for POCs as it lacked the ability...

We explain the challenges of ID reconciliation and demonstrate our approach to create a unified profile ID in CDP, specifically Treasu...

This article dives into the noteworthy data science features unveiled during the event, shedding light on the innovation and advancements that took center stage.

This article presents the interview and hiring process for software engineers at Artefact.

This article presents a novel method for encoding categorical features tailored for forecasting applications.

This article provides a guide for deploying a simple wildlife monitoring system on Google Cloud.

This article provides a guide for deploying Stable Diffusion model, a popular image generation model, on Google Cloud using Vertex AI.

In this article, we will present a tool that demonstrates, practically, our experience using Vertex AI Pipelines in a project running in production.

This year’s edition was taking place in New Orleans. And as in the past editions, we learned a ton about the analytics engineering landscape.

How we automated the management of an account with more than 50 users while complying with data governance standards

The field of data engineering is evolving quickly. This article describes three major trends I see become prominent in the coming years.

This guide will help you figure whether Prophet is appropriate or not for your forecasting project...

Many of us developers will know the feeling of struggling to balance time spent with users trying to understand...

Or how not to waste prior knowledge. If you have encountered Media Mix Modeling (MMM) problems in Marketing before, you might know...