A gentle introduction to Geometric Deep Learning — by Vitale Sparacello

Intro

AI has changed our world, intelligent systems are part of our everyday life, and they are disrupting industries in all sectors.

Next best action recommendation — part 2: causal inference techniques — by Silke Plessers, Sandy Moens, Virginie Marelli

Causal inference is used to determine whether an action on a selected population is efficient and by how much. It is…

Next best action recommendation — part 3: recommending actions using reinforcement learning — by Silke Plessers, Sandy Moens, Virginie Marelli

You have heard about reinforcement learning for next best action optimization but don’t…

Next best action recommendation — part 1: measuring the effect of a campaign — by Silke Plessers, Virginie Marelli, Sandy Moens

Campaigns you said? Great but which one? Multiple ways exist to nudge customers: for instance calling, sending out…

Marketing strategy — How to go beyond propensity models — 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…

A light introduction to transformers for NLP — by Murilo Cunha

If you ever took a look into Natural Language Processing (NLP) for the past years, you probably heard of transformers. But what are these things? How did they come to be? Why is it so good? How to use them?

Terraforming Snowflake ❄️ — by Lidia-Ana-Maria Baciu

It should go without saying that data is a critical asset for any organization. As a result, it is important that the platform handling all this data is able to do so with scalability and speed in mind.

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…