dataroots

Building Data Mesh Architectures with Dataflow on Google Cloud — by Dishani Sen

Hi again, data enthusiasts! Welcome to an exciting blog where we will explore the world of data mesh architectures and how they help solve data-related challenges for businesses. In this blog…

Marketing strategy — a data driven optimization — by Virginie Marelli

When you start integrating data into your marketing strategy, the first questions that needs to be answered are often: who’s going to churn in the next couple months? To whom should we best sell what product…

To be sentient or not to be sentient? — by Romain Compagnie

AI, sentience and Google LaMDA

If you’ve followed the tech-related news recently, you probably heard about Google’s latest conversational bot, called LaMDA (Language Model for…

A gentle introduction to blockchain — by Paolo Léonard

People often see blockchain technology as black boxes that might make them money. While this might be true, they are also technologically intriguing and are worth taking the time to understand how they function. In a nutshell, a…

Cloud-native framework for federated learning, designed with privacy and security at its core — by Dishani Sen, Eya Akrimi

In the roots academy session of March 2023, a group of Data & Cloud engineers and ML engineers collaborated together to…

How Open is Open Data? — by Dishani Sen

This is a follow up blog to the article “What is data circularity and why should you care?” where we discussed about data circularity and why we need it. It’s common to misunderstand that “Data Circularity” means “Open Data”, or vice versa. In this blog we…

Tracking Carbon Emission During MLOps

by Martijn Vanderschueren

Machine learning (ML) models are becoming more advanced, allowing them to achieve impressive results across a wide range of tasks. However, this increased sophistication comes with a cost: ML…