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Category: Engineering

IEEE Big Data 2023 – A Summary

Our CTO, Sabri Skhiri, recently travelled to Sorrento for IEEE Big Data 2023. In this article, Sabri explores for you the various keynotes and talks that took place during the

The Building Blocks of a Responsible AI Practice: An Outlook on the Current Landscape

Responsible AI comes with the challenge of implementation. This survey aims to bridge the gap between principles and practice through a study of different approaches taken in the literature and

Kafka Summit 2023: Announcements & Trends

The Kafka Summit brought together industry experts, developers, and enthusiasts to discuss the latest advancements and practical applications of event streaming and microservices. In this article, our CTO Sabri Skhiri

KubeCon + CloudNativeCon Europe: Insights and Experiences

In April, our engineers Maxime and Eva travelled to Amsterdam for the Kubecon Europe 2023, THE conference of the Cloud Native Computing Foundation. In this article, they provide insights from

2022 Wrap Up

We got a deep dive into some of the most memorable moments of 2022.

Intelligent Data Integration for Complex Problem Solving

This November, our research director and senior researcher Sabri and Gianmarco took part in the kick-off of a TETRA project led by KU Leuven that aims to develop a methodology

Internships 2023

This document presents internships supervised by our software engineering department or by our research & development department. Each project is an opportunity to feel both empowered and responsible for your

IEEE Streaming Workshop / Keynote Announcement

We are delighted to announce Pablo Estrada from Google and Fabian Hueske from Snowflake as the two keynote speakers of our seventh Workshop on Real-time Stream Analytics, Stream Mining, CER/CEP

Master Thesis Offers 2022-2023

We offer master thesis supervised by our research & development department. Each project is an opportunity to feel both empowered and responsible for your own professional development and for your

Automatic Parameter Tuning for Big Data Pipelines

Big data frameworks generally constitute a pipeline, each having a different role. This makes tuning big data pipelines an important yet difficult task given the size of the search space.