Big Data and Analytics

In today’s tech industry there are many buzzwords — you may have heard things like Big Data, data lakes, machine learning, and of course A.I. You’ve probably even considered implementing one or more of these things in your own business processes. And you should! But how?

Ramesh Saketi, Global Leader for Data and Analytics Services at Sogeti, shares his top five analytics predictions for 2020.

Find out how R brings a source of innovation through its functioning and its community in this blog.

In this article, we will focus on the problem of not using a precise alternative hypothesis in statistical tests. We will see that the Bayesian method takes this criticism into account and that it is easily usable with R and other software.

Today, we will explain how R changes the game by making it possible to inject easily images, videos, sounds or other kinds of data.

Big Data analytics is everywhere, any vertical, any market, any country. Find out how to reduce Big Data preparation from 6 months to one week with R.

An introduction on why R is an ideal framework for working with stats.

Here are some tips and learnings from the Novartis Datathon challenge that I would like to share to help you achieve your challenges.

I have recently had to delve into the use of association rules algorithms to improve understanding of certain datasets. All this through the search for patterns that would improve the quality of the result. But what are the association rules?

Today we look at a mothership concept for IoT solutions that is not another gateway concept. Inspired by the book "Wired for War" by P.W. Singer (interesting read on robotics, drones and everything related) the mothership concept challenges our IoT architecture with less gateways.

The volume of data continues to grow today within the Company. They concern all sectors of activity, all functional areas…

Although this presentation was made specifically for the pharma industry, it is my clear conviction that the advice should be…