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.
RAG: enhancing generative AI with enterprise data
RAG has become a key concept for anyone looking to create real value with generative AI based on their organisation’s data. Let’s take a closer look at what it means and explore the best enterprise approaches to make a real impact, interview-style 😉 What does RAG mean, and when is it used? Mick Levy: RAG…
Generative AI: the best use cases for business
Generative AI made a dramatic entrance into the mainstream with the rise of ChatGPT. But beyond the buzz and media fascination, it is now time to seriously consider how these tools can be integrated into businesses. As with any major innovation, early adopters will gain a competitive edge. And here, the real game-changer lies in…
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…
What are the core technologies behind generative AI?
As mentioned in our article “The development of generative AI: what impact on business?”, generative AI is not a recent concept. The neural networks it relies on have been known for decades. So why did it take until 2022 for this technology to gain widespread attention? The answer lies in a series of technological breakthroughs,…
From impacts to challenges: generative AI in business
ChatGPT, DALL·E, Midjourney… According to recent global surveys, over half of business leaders see generative AI as a new industrial revolution. Nearly half believe it will profoundly transform the way we work. But what exactly are the challenges and impacts of this technology on business? This article takes a closer look. Time and productivity gains…
The direct impact of Artificial Intelligence on Human Resources what ChatGPT and we have to say
The direct impact of AI on employees – and therefore on Human Resources (HR) departments – is, in our view, an urgent matter to address if it has not already been considered. It also provides an opportunity to explore how data science can support HR directors in their strategic missions. In this article, we will…
ChatGPT, Midjourney, LLM… But what exactly is generative AI?
With ChatGPT leading the way, alongside MidJourney and DALL·E, generative artificial intelligence has entered the mainstream—though not without creating some confusion. Generative AI technologies cover a wide range of tools and applications that businesses need to understand and harness. Here’s a closer look to clarify and demystify the subject. At the end of 2022, OpenAI…
Generative AI: who are the key players in the market?
The generative AI market is still very young. As a result, the number of players remains relatively limited for now. Two main categories stand out: the GAFAMs on one side, and start-ups on the other. Why are there so few mature players in this field? Because in artificial intelligence, the real battleground lies in access…
The development of generative AI: what impact on businesses?
In January 2023, just two months after its launch, the ChatGPT website was already receiving an average of 13 million unique visitors per day, with daily traffic growing by 3.4%. By April, the site was welcoming one billion monthly visits, including nearly 100 million active users. Why do generative AI and Large Language Models (LLMs)…
#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…