Understanding AI and Data Science
Artificial Intelligence fascinates, questions and shakes up our society. It invites and imposes itself in all sectors of activity: industry, retail, transport, health, energy, logistics or even finance. However, not everyone has a clear understanding of how it works and what it really enables.
Decrypting the concepts and cutting-edge technologies of Statistics and Data Mining, Machine Learning and Deep Learning, understanding the methodologies to succeed in your Data Science project... our experts provide you the keys to understand and apprehend Artificial Intelligence, Data Science and their multiple uses.
Generative AI is not a sprint… but a Marathon
Discover in this webinar how to not only sprint off the starting blocks but also conquer the long-distance race to AI success! Ready, Set, Innovate! Discover how Generative AI is revolutionizing businesses by shifting from quick wins to long-term transformative strategies. Hosted by Pierrick Reglioni (Data & AI Expert), with expert insights from Jérémy El Aissaoui…
#Data / #AI: our experts analyze the trends for 2022
In 2022, data and AI are more than ever a key priority for companies. For the sixth consecutive year, Orange Business is presenting the key trends in Data and AI topics for businesses. Discover more in this webinar available in replay (and in English for the first time!) Our experts will comment and give you…
Artificial Intelligence to better protect us in times of pandemics
Artificial Intelligence & Machine Learning technology are playing a key role in better understanding pandemics. More specifically, AI can support decision makers in taking the right actions to handle a pandemic. We discussed with Dr. Pieter Libin, Professor at the AI lab of the Vrije Universiteit Brussel, how Artificial Intelligence, and more precisely, Reinforcement Learning,…
Can a whole Data Science project be done using R or Python?
For several years now, many Data Scientists have found themselves turning to “language” command line tools, such as R and Python, to deal with Big Data. But can you really undertake a whole Data Science project solely armed with these two technologies? The evolution of Data Science tools Looking back on the evolution of what is known today as Data science, (which,…
Does Auto-Machine Learning (AutoML) really exists?
Automated machine learning (AutoML) has existed since 1990, it was considered as a silent revolution in the Artificial Intelligence (AI) field. When we analyze the term AutoML, we see that it refers to two words, Automated and Machine Learning. Machine Learning with its different types of learning Supervised (Labeled data) Unsupervised (Unlabeled data) Semi-supervised (A…
Data Science: the 4 obstacles to overcome to ensure a successful project
The last five years we have seen the number of Data Science projects carried out by Orange Business in various sectors, such as the oil industry, telephony, retail and services, rise significantly. However, some difficulties must be overcome in order to efficiently implement these types of projects. Explanation. First of all, let us not forget…
Data Engineer: which training programs to choose?
To all those young people wishing to embark on a career in Data Science, my advice was to begin with a Data Engineering job rather than directly as a Data Scientist… Today, I would like to walk you through the apprenticeships and training programmes that will help you become a Data Engineer. Data Engineer: which…