How to Bring DevOps Practices into Your Data Science Project ?
Still struggling to make your Big Data / AI project happen? Here is our last piece of advice on the matter, but don’t hesitate to check out our previous articles about the Data Lab and its organisation, the business vision, the POC, the traps and the Data Fabric. Now, let’s find out about the DevOps […]
How to Grow a Culture of Code Quality?
Code is everywhere ; in IT and operational technology, and nowadays in all digital interactions ; code powers all routines of our lives, from the tiniest to the biggest. Trusting our lives to code brings forward new challenges, in particular reliability and transparency. Producing code that is robust and easy to maintain is first and […]
Who is the Machine Learning Engineer?
Big Data, Data Science, Machine Learning, predictive algorithms… Many of those are now commonly used in the business world. In order to make their innovative projects happen, companies now decide to build up their own Data Labs. However, most of AI or Big Data projects, 80% of them according to Gartner, do not make it into production. We […]
A Data Fabric to make your Big Data & AI projects happen!
Even though the terms Big Data, Data Science and Artificial Intelligence gain in popularity, few data initiatives do in fact materialize. Various use cases are addressed but struggle to get industrialized. The Data Fabric concept seems a promising solution to get data projects in production. Data Fabrics emerged recently in the specialized press (Forbes, Networkworld…) each with different definitions. In this […]
Why is Business Vision Critical to your Data Project Success?
We talked a lot about technology in the Data Lab and the POC articles, let’s talk about people. When we think about Big Data and artificial intelligence, we think about a data team with a Data Scientist, a Data Engineer, a Data Steward… But let us not forget about Marketing or R&D profiles as the business vision needs to lie at the heart of […]
How does a POC Work in a Data Science Project?
Do you still need advice to make your Big Data/AI project a success ? You’ve come to the right place. We talked about the critical steps to build a Data Lab, now is the time to explain how the POC (Proof Of Concept) is going to go. What is a POC (Proof of Concept)? A POC is, […]
Everything you need to know about the Data Lab
It’s time to bring value to your data! That’s why we’ve decided to help you doing it! What is a Data Lab? Let’s get to the heart of the matter: as its name suggests, the Data Lab is a true data laboratory. Why is it a data lab? Because it is a space exclusively dedicated […]
What is Data Visualization? (Including 6 of the Best Tools)
This article will explain what is Data Visualization as well as a selection of 6 tools we trust in order to make your own data rocks! Humankind has produced as much information in two days that it had done in two million years. This phenomenon, resulting from the convergence of digital technologies and telecommunication networks, […]
What is a Data Science Platform?
A Data Science platform is a software solution made for data analysis and processing. Data scientists using the platform will have access to a reliable tool allowing them to work collaboratively within the same digital environment. The objective of the platform is to allow businesses to efficiently convert data into predictions. This collaborative approach is the heart of the Data […]
How to Extract Data From a Document?
Truth is, we’re not good enough yet. All documents are not standardized and we lose such a great amount of time reading them, finding informations we need and putting those into our databases : bills, legal papers, ID cards… Extract data from a document isn’t as simple as it seems. If the documents, from one […]
What is Data Governance?
Every year, the amount of data we produce is growing exponentially. In 2015 alone, Gartner estimated 8 zettabytes of data worldwide, 4 time what was produced in 2011. Meanwhile IDC predicts this number will be as high as 35 zettabytes in 2020 ! The stakes are high with Big data: churn rate, predictive maintenance, market segmentation and so […]
What is Data Mining ?
Data mining is booming since a few years. It consists in extracting and processing data, to transform them in useful information. This tool allows the finding of several shared structures or patterns among the data, thus giving the links between different phenomenon to foresee tendencies. Data mining uses complex algorithms in various fields such as […]
